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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
3b6fdc92025cf25bacd0404d9e7c62c5b34a7de4
| 18,301
|
py
|
Python
|
tests/conftest.py
|
robertopreste/HmtNote
|
0f2c0f684a45c0087cabc3cb15f61803fac7daf1
|
[
"MIT"
] | 11
|
2019-04-11T07:06:41.000Z
|
2021-03-22T09:13:40.000Z
|
tests/conftest.py
|
robertopreste/HmtNote
|
0f2c0f684a45c0087cabc3cb15f61803fac7daf1
|
[
"MIT"
] | 64
|
2019-03-04T11:18:25.000Z
|
2022-03-31T23:03:01.000Z
|
tests/conftest.py
|
robertopreste/HmtNote
|
0f2c0f684a45c0087cabc3cb15f61803fac7daf1
|
[
"MIT"
] | null | null | null |
#!/usr/bin/env python
# -*- coding: UTF-8 -*-
# Created by Roberto Preste
import pytest
import os
DATADIR = os.path.join(os.path.dirname(os.path.realpath(__file__)),
"data")
SIMULATED = os.path.join(DATADIR, "simulated.vcf")
# vcf
SIMULATED_ANN = os.path.join(DATADIR, "simulated_ann.vcf")
SIMULATED_ANN_BASIC = os.path.join(DATADIR, "simulated_ann_basic.vcf")
SIMULATED_ANN_CROSSREF = os.path.join(DATADIR, "simulated_ann_crossref.vcf")
SIMULATED_ANN_VARIAB = os.path.join(DATADIR, "simulated_ann_variab.vcf")
SIMULATED_ANN_PREDICT = os.path.join(DATADIR, "simulated_ann_predict.vcf")
SIMULATED_ANN_OFFLINE = os.path.join(DATADIR, "simulated_ann_offline.vcf")
SIMULATED_ANN_OFFLINE_BASIC = os.path.join(DATADIR,
"simulated_ann_offline_basic.vcf")
SIMULATED_ANN_OFFLINE_CROSSREF = os.path.join(DATADIR,
"simulated_ann_offline_crossref.vcf")
SIMULATED_ANN_OFFLINE_VARIAB = os.path.join(DATADIR,
"simulated_ann_offline_variab.vcf")
SIMULATED_ANN_OFFLINE_PREDICT = os.path.join(DATADIR,
"simulated_ann_offline_predict.vcf")
# csv
SIMULATED_ANN_CSV = os.path.join(DATADIR, "simulated_ann.csv")
SIMULATED_ANN_BASIC_CSV = os.path.join(DATADIR, "simulated_ann_basic.csv")
SIMULATED_ANN_CROSSREF_CSV = os.path.join(DATADIR, "simulated_ann_crossref.csv")
SIMULATED_ANN_VARIAB_CSV = os.path.join(DATADIR, "simulated_ann_variab.csv")
SIMULATED_ANN_PREDICT_CSV = os.path.join(DATADIR, "simulated_ann_predict.csv")
SIMULATED_ANN_OFFLINE_CSV = os.path.join(DATADIR, "simulated_ann_offline.csv")
SIMULATED_ANN_OFFLINE_BASIC_CSV = os.path.join(DATADIR,
"simulated_ann_offline_basic.csv")
SIMULATED_ANN_OFFLINE_CROSSREF_CSV = os.path.join(DATADIR,
"simulated_ann_offline_crossref.csv")
SIMULATED_ANN_OFFLINE_VARIAB_CSV = os.path.join(DATADIR,
"simulated_ann_offline_variab.csv")
SIMULATED_ANN_OFFLINE_PREDICT_CSV = os.path.join(DATADIR,
"simulated_ann_offline_predict.csv")
BCFTOOLS = os.path.join(DATADIR, "bcftools.vcf")
# vcf
BCFTOOLS_ANN = os.path.join(DATADIR, "bcftools_ann.vcf")
BCFTOOLS_ANN_BASIC = os.path.join(DATADIR, "bcftools_ann_basic.vcf")
BCFTOOLS_ANN_CROSSREF = os.path.join(DATADIR, "bcftools_ann_crossref.vcf")
BCFTOOLS_ANN_VARIAB = os.path.join(DATADIR, "bcftools_ann_variab.vcf")
BCFTOOLS_ANN_PREDICT = os.path.join(DATADIR, "bcftools_ann_predict.vcf")
BCFTOOLS_ANN_OFFLINE = os.path.join(DATADIR, "bcftools_ann_offline.vcf")
BCFTOOLS_ANN_OFFLINE_BASIC = os.path.join(DATADIR,
"bcftools_ann_offline_basic.vcf")
BCFTOOLS_ANN_OFFLINE_CROSSREF = os.path.join(DATADIR,
"bcftools_ann_offline_crossref.vcf")
BCFTOOLS_ANN_OFFLINE_VARIAB = os.path.join(DATADIR,
"bcftools_ann_offline_variab.vcf")
BCFTOOLS_ANN_OFFLINE_PREDICT = os.path.join(DATADIR,
"bcftools_ann_offline_predict.vcf")
# csv
BCFTOOLS_ANN_CSV = os.path.join(DATADIR, "bcftools_ann.csv")
BCFTOOLS_ANN_BASIC_CSV = os.path.join(DATADIR, "bcftools_ann_basic.csv")
BCFTOOLS_ANN_CROSSREF_CSV = os.path.join(DATADIR, "bcftools_ann_crossref.csv")
BCFTOOLS_ANN_VARIAB_CSV = os.path.join(DATADIR, "bcftools_ann_variab.csv")
BCFTOOLS_ANN_PREDICT_CSV = os.path.join(DATADIR, "bcftools_ann_predict.csv")
BCFTOOLS_ANN_OFFLINE_CSV = os.path.join(DATADIR, "bcftools_ann_offline.csv")
BCFTOOLS_ANN_OFFLINE_BASIC_CSV = os.path.join(DATADIR,
"bcftools_ann_offline_basic.csv")
BCFTOOLS_ANN_OFFLINE_CROSSREF_CSV = os.path.join(DATADIR,
"bcftools_ann_offline_crossref.csv")
BCFTOOLS_ANN_OFFLINE_VARIAB_CSV = os.path.join(DATADIR,
"bcftools_ann_offline_variab.csv")
BCFTOOLS_ANN_OFFLINE_PREDICT_CSV = os.path.join(DATADIR,
"bcftools_ann_offline_predict.csv")
MULTISAMPLE = os.path.join(DATADIR, "multisample.vcf")
# vcf
MULTISAMPLE_ANN = os.path.join(DATADIR, "multisample_ann.vcf")
MULTISAMPLE_ANN_BASIC = os.path.join(DATADIR, "multisample_ann_basic.vcf")
MULTISAMPLE_ANN_CROSSREF = os.path.join(DATADIR, "multisample_ann_crossref.vcf")
MULTISAMPLE_ANN_VARIAB = os.path.join(DATADIR, "multisample_ann_variab.vcf")
MULTISAMPLE_ANN_PREDICT = os.path.join(DATADIR, "multisample_ann_predict.vcf")
MULTISAMPLE_ANN_OFFLINE = os.path.join(DATADIR, "multisample_ann_offline.vcf")
MULTISAMPLE_ANN_OFFLINE_BASIC = os.path.join(DATADIR,
"multisample_ann_offline_basic.vcf")
MULTISAMPLE_ANN_OFFLINE_CROSSREF = os.path.join(DATADIR,
"multisample_ann_offline_crossref.vcf")
MULTISAMPLE_ANN_OFFLINE_VARIAB = os.path.join(DATADIR,
"multisample_ann_offline_variab.vcf")
MULTISAMPLE_ANN_OFFLINE_PREDICT = os.path.join(DATADIR,
"multisample_ann_offline_predict.vcf")
# csv
MULTISAMPLE_ANN_CSV = os.path.join(DATADIR, "multisample_ann.csv")
MULTISAMPLE_ANN_BASIC_CSV = os.path.join(DATADIR, "multisample_ann_basic.csv")
MULTISAMPLE_ANN_CROSSREF_CSV = os.path.join(DATADIR, "multisample_ann_crossref.csv")
MULTISAMPLE_ANN_VARIAB_CSV = os.path.join(DATADIR, "multisample_ann_variab.csv")
MULTISAMPLE_ANN_PREDICT_CSV = os.path.join(DATADIR, "multisample_ann_predict.csv")
MULTISAMPLE_ANN_OFFLINE_CSV = os.path.join(DATADIR, "multisample_ann_offline.csv")
MULTISAMPLE_ANN_OFFLINE_BASIC_CSV = os.path.join(DATADIR,
"multisample_ann_offline_basic.csv")
MULTISAMPLE_ANN_OFFLINE_CROSSREF_CSV = os.path.join(DATADIR,
"multisample_ann_offline_crossref.csv")
MULTISAMPLE_ANN_OFFLINE_VARIAB_CSV = os.path.join(DATADIR,
"multisample_ann_offline_variab.csv")
MULTISAMPLE_ANN_OFFLINE_PREDICT_CSV = os.path.join(DATADIR,
"multisample_ann_offline_predict.csv")
# vcf
@pytest.fixture
def simulated_vcf():
"""Open the simulated.vcf file."""
with open(SIMULATED) as f:
yield f
@pytest.fixture
def simulated_ann_vcf():
"""Open the simulated.vcf file with full annotation."""
with open(SIMULATED_ANN) as f:
yield f
@pytest.fixture
def simulated_ann_basic_vcf():
"""Open the simulated.vcf file with basic annotation."""
with open(SIMULATED_ANN_BASIC) as f:
yield f
@pytest.fixture
def simulated_ann_crossref_vcf():
"""Open the simulated.vcf file with crossref annotation."""
with open(SIMULATED_ANN_CROSSREF) as f:
yield f
@pytest.fixture
def simulated_ann_variab_vcf():
"""Open the simulated.vcf file with variability annotation."""
with open(SIMULATED_ANN_VARIAB) as f:
yield f
@pytest.fixture
def simulated_ann_predict_vcf():
"""Open the simulated.vcf file with predictions annotation."""
with open(SIMULATED_ANN_PREDICT) as f:
yield f
@pytest.fixture
def simulated_ann_offline_vcf():
"""Open the simulated.vcf file with full offline annotation."""
with open(SIMULATED_ANN_OFFLINE) as f:
yield f
@pytest.fixture
def simulated_ann_offline_basic_vcf():
"""Open the simulated.vcf file with basic offline annotation."""
with open(SIMULATED_ANN_OFFLINE_BASIC) as f:
yield f
@pytest.fixture
def simulated_ann_offline_crossref_vcf():
"""Open the simulated.vcf file with crossref offline annotation."""
with open(SIMULATED_ANN_OFFLINE_CROSSREF) as f:
yield f
@pytest.fixture
def simulated_ann_offline_variab_vcf():
"""Open the simulated.vcf file with variability offline annotation."""
with open(SIMULATED_ANN_OFFLINE_VARIAB) as f:
yield f
@pytest.fixture
def simulated_ann_offline_predict_vcf():
"""Open the simulated.vcf file with predictions offline annotation."""
with open(SIMULATED_ANN_OFFLINE_PREDICT) as f:
yield f
@pytest.fixture
def bcftools_vcf():
"""Open the bcftools.vcf file."""
with open(BCFTOOLS) as f:
yield f
@pytest.fixture
def bcftools_ann_vcf():
"""Open the bcftools.vcf file with full annotation."""
with open(BCFTOOLS_ANN) as f:
yield f
@pytest.fixture
def bcftools_ann_basic_vcf():
"""Open the bcftools.vcf file with basic annotation."""
with open(BCFTOOLS_ANN_BASIC) as f:
yield f
@pytest.fixture
def bcftools_ann_crossref_vcf():
"""Open the bcftools.vcf file with crossref annotation."""
with open(BCFTOOLS_ANN_CROSSREF) as f:
yield f
@pytest.fixture
def bcftools_ann_variab_vcf():
"""Open the bcftools.vcf file with variability annotation."""
with open(BCFTOOLS_ANN_VARIAB) as f:
yield f
@pytest.fixture
def bcftools_ann_predict_vcf():
"""Open the bcftools.vcf file with predictions annotation."""
with open(BCFTOOLS_ANN_PREDICT) as f:
yield f
@pytest.fixture
def bcftools_ann_offline_vcf():
"""Open the bcftools.vcf file with full offline annotation."""
with open(BCFTOOLS_ANN_OFFLINE) as f:
yield f
@pytest.fixture
def bcftools_ann_offline_basic_vcf():
"""Open the bcftools.vcf file with basic offline annotation."""
with open(BCFTOOLS_ANN_OFFLINE_BASIC) as f:
yield f
@pytest.fixture
def bcftools_ann_offline_crossref_vcf():
"""Open the bcftools.vcf file with crossref offline annotation."""
with open(BCFTOOLS_ANN_OFFLINE_CROSSREF) as f:
yield f
@pytest.fixture
def bcftools_ann_offline_variab_vcf():
"""Open the bcftools.vcf file with variability offline annotation."""
with open(BCFTOOLS_ANN_OFFLINE_VARIAB) as f:
yield f
@pytest.fixture
def bcftools_ann_offline_predict_vcf():
"""Open the bcftools.vcf file with predictions offline annotation."""
with open(BCFTOOLS_ANN_OFFLINE_PREDICT) as f:
yield f
@pytest.fixture
def multisample_vcf():
"""Open the multisample.vcf file."""
with open(MULTISAMPLE) as f:
yield f
@pytest.fixture
def multisample_ann_vcf():
"""Open the multisample.vcf file with full annotation."""
with open(MULTISAMPLE_ANN) as f:
yield f
@pytest.fixture
def multisample_ann_basic_vcf():
"""Open the multisample.vcf file with basic annotation."""
with open(MULTISAMPLE_ANN_BASIC) as f:
yield f
@pytest.fixture
def multisample_ann_crossref_vcf():
"""Open the multisample.vcf file with crossref annotation."""
with open(MULTISAMPLE_ANN_CROSSREF) as f:
yield f
@pytest.fixture
def multisample_ann_variab_vcf():
"""Open the multisample.vcf file with variability annotation."""
with open(MULTISAMPLE_ANN_VARIAB) as f:
yield f
@pytest.fixture
def multisample_ann_predict_vcf():
"""Open the multisample.vcf file with predictions annotation."""
with open(MULTISAMPLE_ANN_PREDICT) as f:
yield f
@pytest.fixture
def multisample_ann_offline_vcf():
"""Open the multisample.vcf file with full offline annotation."""
with open(MULTISAMPLE_ANN_OFFLINE) as f:
yield f
@pytest.fixture
def multisample_ann_offline_basic_vcf():
"""Open the multisample.vcf file with basic offline annotation."""
with open(MULTISAMPLE_ANN_OFFLINE_BASIC) as f:
yield f
@pytest.fixture
def multisample_ann_offline_crossref_vcf():
"""Open the multisample.vcf file with crossref offline annotation."""
with open(MULTISAMPLE_ANN_OFFLINE_CROSSREF) as f:
yield f
@pytest.fixture
def multisample_ann_offline_variab_vcf():
"""Open the multisample.vcf file with variability offline annotation."""
with open(MULTISAMPLE_ANN_OFFLINE_VARIAB) as f:
yield f
@pytest.fixture
def multisample_ann_offline_predict_vcf():
"""Open the multisample.vcf file with predictions offline annotation."""
with open(MULTISAMPLE_ANN_OFFLINE_PREDICT) as f:
yield f
# csv
@pytest.fixture
def simulated_csv():
"""Open the simulated.csv file."""
with open(SIMULATED_CSV) as f:
yield f
@pytest.fixture
def simulated_ann_csv():
"""Open the simulated.csv file with full annotation."""
with open(SIMULATED_ANN_CSV) as f:
yield f
@pytest.fixture
def simulated_ann_basic_csv():
"""Open the simulated.csv file with basic annotation."""
with open(SIMULATED_ANN_BASIC_CSV) as f:
yield f
@pytest.fixture
def simulated_ann_crossref_csv():
"""Open the simulated.csv file with crossref annotation."""
with open(SIMULATED_ANN_CROSSREF_CSV) as f:
yield f
@pytest.fixture
def simulated_ann_variab_csv():
"""Open the simulated.csv file with variability annotation."""
with open(SIMULATED_ANN_VARIAB_CSV) as f:
yield f
@pytest.fixture
def simulated_ann_predict_csv():
"""Open the simulated.csv file with predictions annotation."""
with open(SIMULATED_ANN_PREDICT_CSV) as f:
yield f
@pytest.fixture
def simulated_ann_offline_csv():
"""Open the simulated.csv file with full offline annotation."""
with open(SIMULATED_ANN_OFFLINE_CSV) as f:
yield f
@pytest.fixture
def simulated_ann_offline_basic_csv():
"""Open the simulated.csv file with basic offline annotation."""
with open(SIMULATED_ANN_OFFLINE_BASIC_CSV) as f:
yield f
@pytest.fixture
def simulated_ann_offline_crossref_csv():
"""Open the simulated.csv file with crossref offline annotation."""
with open(SIMULATED_ANN_OFFLINE_CROSSREF_CSV) as f:
yield f
@pytest.fixture
def simulated_ann_offline_variab_csv():
"""Open the simulated.csv file with variability offline annotation."""
with open(SIMULATED_ANN_OFFLINE_VARIAB_CSV) as f:
yield f
@pytest.fixture
def simulated_ann_offline_predict_csv():
"""Open the simulated.csv file with predictions offline annotation."""
with open(SIMULATED_ANN_OFFLINE_PREDICT_CSV) as f:
yield f
@pytest.fixture
def bcftools_csv():
"""Open the bcftools.csv file."""
with open(BCFTOOLS_CSV) as f:
yield f
@pytest.fixture
def bcftools_ann_csv():
"""Open the bcftools.csv file with full annotation."""
with open(BCFTOOLS_ANN_CSV) as f:
yield f
@pytest.fixture
def bcftools_ann_basic_csv():
"""Open the bcftools.csv file with basic annotation."""
with open(BCFTOOLS_ANN_BASIC_CSV) as f:
yield f
@pytest.fixture
def bcftools_ann_crossref_csv():
"""Open the bcftools.csv file with crossref annotation."""
with open(BCFTOOLS_ANN_CROSSREF_CSV) as f:
yield f
@pytest.fixture
def bcftools_ann_variab_csv():
"""Open the bcftools.csv file with variability annotation."""
with open(BCFTOOLS_ANN_VARIAB_CSV) as f:
yield f
@pytest.fixture
def bcftools_ann_predict_csv():
"""Open the bcftools.csv file with predictions annotation."""
with open(BCFTOOLS_ANN_PREDICT_CSV) as f:
yield f
@pytest.fixture
def bcftools_ann_offline_csv():
"""Open the bcftools.csv file with full offline annotation."""
with open(BCFTOOLS_ANN_OFFLINE_CSV) as f:
yield f
@pytest.fixture
def bcftools_ann_offline_basic_csv():
"""Open the bcftools.csv file with basic offline annotation."""
with open(BCFTOOLS_ANN_OFFLINE_BASIC_CSV) as f:
yield f
@pytest.fixture
def bcftools_ann_offline_crossref_csv():
"""Open the bcftools.csv file with crossref offline annotation."""
with open(BCFTOOLS_ANN_OFFLINE_CROSSREF_CSV) as f:
yield f
@pytest.fixture
def bcftools_ann_offline_variab_csv():
"""Open the bcftools.csv file with variability offline annotation."""
with open(BCFTOOLS_ANN_OFFLINE_VARIAB_CSV) as f:
yield f
@pytest.fixture
def bcftools_ann_offline_predict_csv():
"""Open the bcftools.csv file with predictions offline annotation."""
with open(BCFTOOLS_ANN_OFFLINE_PREDICT_CSV) as f:
yield f
@pytest.fixture
def multisample_csv():
"""Open the multisample.csv file."""
with open(MULTISAMPLE_CSV) as f:
yield f
@pytest.fixture
def multisample_ann_csv():
"""Open the multisample.csv file with full annotation."""
with open(MULTISAMPLE_ANN_CSV) as f:
yield f
@pytest.fixture
def multisample_ann_basic_csv():
"""Open the multisample.csv file with basic annotation."""
with open(MULTISAMPLE_ANN_BASIC_CSV) as f:
yield f
@pytest.fixture
def multisample_ann_crossref_csv():
"""Open the multisample.csv file with crossref annotation."""
with open(MULTISAMPLE_ANN_CROSSREF_CSV) as f:
yield f
@pytest.fixture
def multisample_ann_variab_csv():
"""Open the multisample.csv file with variability annotation."""
with open(MULTISAMPLE_ANN_VARIAB_CSV) as f:
yield f
@pytest.fixture
def multisample_ann_predict_csv():
"""Open the multisample.csv file with predictions annotation."""
with open(MULTISAMPLE_ANN_PREDICT_CSV) as f:
yield f
@pytest.fixture
def multisample_ann_offline_csv():
"""Open the multisample.csv file with full offline annotation."""
with open(MULTISAMPLE_ANN_OFFLINE_CSV) as f:
yield f
@pytest.fixture
def multisample_ann_offline_basic_csv():
"""Open the multisample.csv file with basic offline annotation."""
with open(MULTISAMPLE_ANN_OFFLINE_BASIC_CSV) as f:
yield f
@pytest.fixture
def multisample_ann_offline_crossref_csv():
"""Open the multisample.csv file with crossref offline annotation."""
with open(MULTISAMPLE_ANN_OFFLINE_CROSSREF_CSV) as f:
yield f
@pytest.fixture
def multisample_ann_offline_variab_csv():
"""Open the multisample.csv file with variability offline annotation."""
with open(MULTISAMPLE_ANN_OFFLINE_VARIAB_CSV) as f:
yield f
@pytest.fixture
def multisample_ann_offline_predict_csv():
"""Open the multisample.csv file with predictions offline annotation."""
with open(MULTISAMPLE_ANN_OFFLINE_PREDICT_CSV) as f:
yield f
| 32.107018
| 91
| 0.706355
| 2,423
| 18,301
| 5.052414
| 0.018159
| 0.098023
| 0.08626
| 0.048521
| 0.929995
| 0.907041
| 0.893727
| 0.791864
| 0.598187
| 0.408103
| 0
| 0.000069
| 0.20283
| 18,301
| 569
| 92
| 32.163445
| 0.839057
| 0.205672
| 0
| 0.371831
| 0
| 0
| 0.118625
| 0.108199
| 0
| 0
| 0
| 0
| 0
| 1
| 0.185915
| false
| 0
| 0.005634
| 0
| 0.191549
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
3b84258fc0a8141ea98aaa6824446c40c441552a
| 122
|
py
|
Python
|
skorecard/preprocessing/__init__.py
|
satya-pattnaik/skorecard
|
ba31821799985052ffb498569b41e969034ea28e
|
[
"MIT"
] | 31
|
2021-06-10T13:35:07.000Z
|
2022-03-30T12:34:26.000Z
|
skorecard/preprocessing/__init__.py
|
satya-pattnaik/skorecard
|
ba31821799985052ffb498569b41e969034ea28e
|
[
"MIT"
] | 50
|
2021-06-10T10:56:34.000Z
|
2022-01-26T18:23:31.000Z
|
skorecard/preprocessing/__init__.py
|
satya-pattnaik/skorecard
|
ba31821799985052ffb498569b41e969034ea28e
|
[
"MIT"
] | 2
|
2021-09-09T00:44:17.000Z
|
2021-09-24T17:08:32.000Z
|
from ._WoEEncoder import WoeEncoder
from .preprocessing import ColumnSelector
__all__ = ["WoeEncoder", "ColumnSelector"]
| 24.4
| 42
| 0.811475
| 11
| 122
| 8.545455
| 0.545455
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.106557
| 122
| 4
| 43
| 30.5
| 0.862385
| 0
| 0
| 0
| 0
| 0
| 0.196721
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 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
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
3b84db17c55a9f8bed657795f30b1c040144fe16
| 24
|
py
|
Python
|
underworld/_version.py
|
StuartRClark/mantle
|
27acbbbb70b00870bebc4f98c69af8edaa4f8bc4
|
[
"CC-BY-4.0"
] | null | null | null |
underworld/_version.py
|
StuartRClark/mantle
|
27acbbbb70b00870bebc4f98c69af8edaa4f8bc4
|
[
"CC-BY-4.0"
] | null | null | null |
underworld/_version.py
|
StuartRClark/mantle
|
27acbbbb70b00870bebc4f98c69af8edaa4f8bc4
|
[
"CC-BY-4.0"
] | null | null | null |
__version__ = "2.10.1b"
| 12
| 23
| 0.666667
| 4
| 24
| 3
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.190476
| 0.125
| 24
| 1
| 24
| 24
| 0.380952
| 0
| 0
| 0
| 0
| 0
| 0.291667
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 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
| 4
|
3b9f143757abb4c6ae2fe276189350f858a70935
| 2,856
|
py
|
Python
|
iriusrisk-python-client-lib/test/test_users_api.py
|
iriusrisk/iriusrisk-python-client-lib
|
4912706cd1e5c0bc555dbc7da02fb64cbeab3b18
|
[
"Apache-2.0"
] | null | null | null |
iriusrisk-python-client-lib/test/test_users_api.py
|
iriusrisk/iriusrisk-python-client-lib
|
4912706cd1e5c0bc555dbc7da02fb64cbeab3b18
|
[
"Apache-2.0"
] | null | null | null |
iriusrisk-python-client-lib/test/test_users_api.py
|
iriusrisk/iriusrisk-python-client-lib
|
4912706cd1e5c0bc555dbc7da02fb64cbeab3b18
|
[
"Apache-2.0"
] | null | null | null |
# coding: utf-8
"""
IriusRisk API
Products API # noqa: E501
OpenAPI spec version: 1
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from __future__ import absolute_import
import unittest
import iriusrisk_python_client_lib
from iriusrisk_python_client_lib.api.users_api import UsersApi # noqa: E501
from iriusrisk_python_client_lib.rest import ApiException
class TestUsersApi(unittest.TestCase):
"""UsersApi unit test stubs"""
def setUp(self):
self.api = iriusrisk_python_client_lib.api.users_api.UsersApi() # noqa: E501
def tearDown(self):
pass
def test_groups_group_users_delete(self):
"""Test case for groups_group_users_delete
Unassign a list of users from a group # noqa: E501
"""
pass
def test_groups_group_users_get(self):
"""Test case for groups_group_users_get
List users from a group # noqa: E501
"""
pass
def test_groups_group_users_put(self):
"""Test case for groups_group_users_put
Assigns users to a group # noqa: E501
"""
pass
def test_groups_group_users_user_delete(self):
"""Test case for groups_group_users_user_delete
Removes a user from a group # noqa: E501
"""
pass
def test_products_ref_users_delete(self):
"""Test case for products_ref_users_delete
Unassigns a list of users from a product. # noqa: E501
"""
pass
def test_products_ref_users_get(self):
"""Test case for products_ref_users_get
List all users assigned to a product # noqa: E501
"""
pass
def test_products_ref_users_put(self):
"""Test case for products_ref_users_put
Assigns users to a product. # noqa: E501
"""
pass
def test_products_ref_users_user_delete(self):
"""Test case for products_ref_users_user_delete
Unassigns a user from a product # noqa: E501
"""
pass
def test_users_get(self):
"""Test case for users_get
List of all Users. # noqa: E501
"""
pass
def test_users_post(self):
"""Test case for users_post
Creates a new user # noqa: E501
"""
pass
def test_users_username_delete(self):
"""Test case for users_username_delete
Deletes a user # noqa: E501
"""
pass
def test_users_username_get(self):
"""Test case for users_username_get
Get all the information of a user # noqa: E501
"""
pass
def test_users_username_token_post(self):
"""Test case for users_username_token_post
Generates a user API token # noqa: E501
"""
pass
if __name__ == '__main__':
unittest.main()
| 22.666667
| 85
| 0.629552
| 373
| 2,856
| 4.525469
| 0.201072
| 0.075829
| 0.084716
| 0.115521
| 0.668839
| 0.634479
| 0.482227
| 0.362559
| 0.206161
| 0.162322
| 0
| 0.02495
| 0.298319
| 2,856
| 125
| 86
| 22.848
| 0.817365
| 0.431723
| 0
| 0.368421
| 1
| 0
| 0.006144
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.394737
| false
| 0.368421
| 0.131579
| 0
| 0.552632
| 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
| 0
| 1
| 0
|
0
| 4
|
8e552c51e382fb6a35d433e3fde7ac3e6e0e82d6
| 468
|
py
|
Python
|
src/cutty/entrypoints/cli/__init__.py
|
cjolowicz/cutty
|
3a183fb06f5f521eaf1909514cb8c3d9e5b9c193
|
[
"MIT"
] | 1
|
2021-11-15T20:27:59.000Z
|
2021-11-15T20:27:59.000Z
|
src/cutty/entrypoints/cli/__init__.py
|
cjolowicz/cutty
|
3a183fb06f5f521eaf1909514cb8c3d9e5b9c193
|
[
"MIT"
] | 171
|
2020-07-24T07:30:20.000Z
|
2022-03-31T14:05:45.000Z
|
src/cutty/entrypoints/cli/__init__.py
|
cjolowicz/cutty
|
3a183fb06f5f521eaf1909514cb8c3d9e5b9c193
|
[
"MIT"
] | null | null | null |
"""Command-line interface."""
from cutty.entrypoints.cli._main import main
from cutty.entrypoints.cli.cookiecutter import cookiecutter
from cutty.entrypoints.cli.create import create
from cutty.entrypoints.cli.errors import fatal
from cutty.entrypoints.cli.link import link
from cutty.entrypoints.cli.update import update
registercommand = main.command()
for command in [create, update, link, cookiecutter]:
registercommand(fatal(command))
__all__ = ["main"]
| 27.529412
| 59
| 0.799145
| 60
| 468
| 6.15
| 0.316667
| 0.146341
| 0.325203
| 0.373984
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.104701
| 468
| 16
| 60
| 29.25
| 0.880668
| 0.049145
| 0
| 0
| 0
| 0
| 0.009112
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.6
| 0
| 0.6
| 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
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
8e7ca95135e171d276c30f61593ddd424dac6da1
| 709
|
py
|
Python
|
hackerspace/admin.py
|
JonathanFromm/HackerspaceTemplatePackage
|
b0bd5e77cd36417901b064e82812d365c55ff421
|
[
"MIT"
] | null | null | null |
hackerspace/admin.py
|
JonathanFromm/HackerspaceTemplatePackage
|
b0bd5e77cd36417901b064e82812d365c55ff421
|
[
"MIT"
] | null | null | null |
hackerspace/admin.py
|
JonathanFromm/HackerspaceTemplatePackage
|
b0bd5e77cd36417901b064e82812d365c55ff421
|
[
"MIT"
] | null | null | null |
from hackerspace.models.events import Event
from hackerspace.models.spaces import Space
from hackerspace.models.machines import Machine
from hackerspace.models.projects import Project
from hackerspace.models.guildes import Guilde
from hackerspace.models.consensus import Consensus
from django.contrib import admin
class AuthorAdmin(admin.ModelAdmin):
exclude = ('str_slug', 'int_UNIXtime_created', 'int_UNIXtime_updated',)
# Register your models here.
admin.site.register(Event, AuthorAdmin)
admin.site.register(Project, AuthorAdmin)
admin.site.register(Guilde, AuthorAdmin)
admin.site.register(Machine, AuthorAdmin)
admin.site.register(Space, AuthorAdmin)
admin.site.register(Consensus, AuthorAdmin)
| 33.761905
| 75
| 0.829337
| 88
| 709
| 6.625
| 0.363636
| 0.154374
| 0.216124
| 0.240137
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.084626
| 709
| 20
| 76
| 35.45
| 0.898305
| 0.036671
| 0
| 0
| 0
| 0
| 0.070485
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.466667
| 0
| 0.6
| 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
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
8eb4514429d205d8f416dc1d70d4a42da9197580
| 192
|
py
|
Python
|
les_8/lab_8a/08-polymorphism.py
|
Timurdov/Python3.Advanced
|
a99ae1ab9e0424aeb7f8e93c53d0e08319b426a2
|
[
"Apache-2.0"
] | 1
|
2018-09-10T12:04:53.000Z
|
2018-09-10T12:04:53.000Z
|
les_8/lab_8a/08-polymorphism.py
|
Timurdov/Python3.Advanced
|
a99ae1ab9e0424aeb7f8e93c53d0e08319b426a2
|
[
"Apache-2.0"
] | null | null | null |
les_8/lab_8a/08-polymorphism.py
|
Timurdov/Python3.Advanced
|
a99ae1ab9e0424aeb7f8e93c53d0e08319b426a2
|
[
"Apache-2.0"
] | null | null | null |
# -*- coding: utf-8 -*-
"""
Простейшим примером использования полиморфизма является функция print,
которая вызывает у переданного ей объекта метод __str__.
"""
print('str')
print(42)
| 21.333333
| 71
| 0.708333
| 22
| 192
| 6
| 0.863636
| 0.121212
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.018868
| 0.171875
| 192
| 9
| 72
| 21.333333
| 0.811321
| 0.78125
| 0
| 0
| 0
| 0
| 0.111111
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0
| 0
| 0
| 1
| 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
| 0
| 0
| 0
| 1
|
0
| 4
|
8ed1252eed73337739f7e930e3f04b1aa83d1b51
| 1,024
|
py
|
Python
|
ku/layer_ext/__init__.py
|
tonandr/keras_unsupervised
|
fd2a2494bca2eb745027178e220b42b5e5882f94
|
[
"BSD-3-Clause"
] | 4
|
2019-07-28T11:56:01.000Z
|
2021-11-06T02:50:58.000Z
|
ku/layer_ext/__init__.py
|
tonandr/keras_unsupervised
|
fd2a2494bca2eb745027178e220b42b5e5882f94
|
[
"BSD-3-Clause"
] | 2
|
2021-06-30T01:00:07.000Z
|
2021-07-21T08:04:40.000Z
|
ku/layer_ext/__init__.py
|
tonandr/keras_unsupervised
|
fd2a2494bca2eb745027178e220b42b5e5882f94
|
[
"BSD-3-Clause"
] | null | null | null |
from .normalization import AdaptiveIN
from .normalization import AdaptiveINWithStyle
from .style import StyleMixingRegularization
from .style import TruncationTrick
from .style import MinibatchStddevConcat
from .core import EqualizedLRDense
from .convolution import EqualizedLRConv1D
from .convolution import EqualizedLRConv2D
from .convolution import EqualizedLRConv3D
from .convolution import FusedEqualizedLRConv1D
from .convolution import FusedEqualizedLRConv2D
from .convolution import FusedEqualizedLRConv3D
from .convolution import FusedEqualizedLRConv2DTranspose
from .convolution import BlurDepthwiseConv2D
from .convolution import DepthwiseConv3D
from .convolution import SeparableConv3D
from .attention import (MultiHeadAttention
, SIMILARITY_TYPE_DIFF_ABS
, SIMILARITY_TYPE_PLAIN
, SIMILARITY_TYPE_SCALED
, SIMILARITY_TYPE_GENERAL
, SIMILARITY_TYPE_ADDITIVE)
from .position_encoding import OrdinalPositionEncoding
from .position_encoding import PeriodicPositionEncoding
| 42.666667
| 57
| 0.849609
| 94
| 1,024
| 9.117021
| 0.382979
| 0.175029
| 0.245041
| 0.060677
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.011161
| 0.125
| 1,024
| 24
| 58
| 42.666667
| 0.945313
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.791667
| 0
| 0.791667
| 0
| 0
| 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
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
8ed6d0bfba514a76097669322277aa263803e8d2
| 81
|
py
|
Python
|
zoo/auditing/standards/__init__.py
|
uliana291/the-zoo
|
a15a4162c39553abe91224f4feff5d3b66f9413e
|
[
"MIT"
] | 90
|
2018-11-20T10:58:24.000Z
|
2022-02-19T16:12:46.000Z
|
zoo/auditing/standards/__init__.py
|
uliana291/the-zoo
|
a15a4162c39553abe91224f4feff5d3b66f9413e
|
[
"MIT"
] | 348
|
2018-11-21T09:22:31.000Z
|
2021-11-03T13:45:08.000Z
|
zoo/auditing/standards/__init__.py
|
aexvir/the-zoo
|
7816afb9a0a26c6058b030b4a987c73e952d92bd
|
[
"MIT"
] | 11
|
2018-12-08T18:42:07.000Z
|
2021-02-21T06:27:58.000Z
|
"""The default ZOO_AUDITING_ROOT. Place your own standards in this directory."""
| 40.5
| 80
| 0.777778
| 12
| 81
| 5.083333
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.123457
| 81
| 1
| 81
| 81
| 0.859155
| 0.91358
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
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| 1
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| 0
| 0
| 0
| 0
|
0
| 4
|
8ee3e010881999709fc9de6349eb54fcdd45c0e3
| 131
|
py
|
Python
|
Pyto/Samples/pasteboard.py
|
snazari/Pyto
|
bcea7bbef35cab21ce73087b1a0c00a07d07ec72
|
[
"MIT"
] | 701
|
2018-10-22T11:54:09.000Z
|
2022-03-31T14:39:30.000Z
|
Pyto/Samples/pasteboard.py
|
snazari/Pyto
|
bcea7bbef35cab21ce73087b1a0c00a07d07ec72
|
[
"MIT"
] | 229
|
2018-10-24T09:15:31.000Z
|
2021-12-24T16:51:37.000Z
|
Pyto/Samples/pasteboard.py
|
Wristlebane/Pyto
|
901ac307b68486d8289105c159ca702318bea5b0
|
[
"MIT"
] | 131
|
2018-11-25T18:33:03.000Z
|
2022-03-24T03:18:07.000Z
|
"""
Prints the user pasteboard text.
"""
import pasteboard
# Code here
print("Your pasteboard is: ")
print(pasteboard.string())
| 11.909091
| 32
| 0.709924
| 16
| 131
| 5.8125
| 0.75
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.152672
| 131
| 10
| 33
| 13.1
| 0.837838
| 0.328244
| 0
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| 0
| 0
| 0.25
| 0
| 0
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| 0
| 0
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| 1
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| true
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| 0.333333
| 0
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| 0.666667
| 1
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| 1
| 0
| 0
| 1
|
0
| 4
|
d9183bdaa0fc01d824b7235b4105b792262edc40
| 756
|
py
|
Python
|
reproducibility/code/ImputeUsingMAGIC.py
|
gamazeps/dca
|
cb0e5c313b1803558f3e00deb9c215c3c4f6dafc
|
[
"Apache-2.0"
] | 193
|
2018-04-15T08:35:54.000Z
|
2022-03-29T20:51:58.000Z
|
reproducibility/code/ImputeUsingMAGIC.py
|
zhengzhenxian/dca
|
cb0e5c313b1803558f3e00deb9c215c3c4f6dafc
|
[
"Apache-2.0"
] | 43
|
2018-04-16T08:55:33.000Z
|
2022-01-20T10:01:42.000Z
|
reproducibility/code/ImputeUsingMAGIC.py
|
zhengzhenxian/dca
|
cb0e5c313b1803558f3e00deb9c215c3c4f6dafc
|
[
"Apache-2.0"
] | 65
|
2018-04-18T08:42:40.000Z
|
2022-02-17T23:37:12.000Z
|
import magic
import os
scdata = magic.mg.SCData.from_csv("../data/chu/chu_original.csv", cell_axis="columns", data_type='sc-seq')
scdata.run_magic()
mdata = scdata.magic.data
mdata=mdata.transpose()
mdata.to_csv("../data/chu/chu_magic.csv")
scdata = magic.mg.SCData.from_csv("../data/francesconi/francesconi_original.csv", cell_axis="columns", data_type='sc-seq')
scdata.run_magic()
mdata = scdata.magic.data
mdata=mdata.transpose()
mdata.to_csv("../data/francesconi/francesconi_magic.csv")
scdata = magic.mg.SCData.from_csv("../data/stoeckius/stoeckius_original.csv", cell_axis="columns", data_type='sc-seq')
scdata.run_magic()
mdata = scdata.magic.data
mdata=mdata.transpose()
mdata.to_csv("../data/stoeckius/stoeckius_magic.csv")
| 36
| 123
| 0.746032
| 112
| 756
| 4.848214
| 0.196429
| 0.121547
| 0.071823
| 0.104972
| 0.780847
| 0.780847
| 0.780847
| 0.725599
| 0.725599
| 0.585635
| 0
| 0
| 0.079365
| 756
| 20
| 124
| 37.8
| 0.780172
| 0
| 0
| 0.529412
| 0
| 0
| 0.345109
| 0.29212
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.117647
| 0
| 0.117647
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
d93bf4c63fc4868fac7317c9b1cb10d202cc591b
| 189
|
py
|
Python
|
kedro/extras/datasets/dask/__init__.py
|
daniel-falk/kedro
|
19187199339ddc4a757aaaa328f319ec4c1e452a
|
[
"Apache-2.0"
] | 2,047
|
2022-01-10T15:22:12.000Z
|
2022-03-31T13:38:56.000Z
|
kedro/extras/datasets/dask/__init__.py
|
daniel-falk/kedro
|
19187199339ddc4a757aaaa328f319ec4c1e452a
|
[
"Apache-2.0"
] | 170
|
2022-01-10T12:44:31.000Z
|
2022-03-31T17:01:24.000Z
|
kedro/extras/datasets/dask/__init__.py
|
daniel-falk/kedro
|
19187199339ddc4a757aaaa328f319ec4c1e452a
|
[
"Apache-2.0"
] | 112
|
2022-01-10T19:15:24.000Z
|
2022-03-30T11:20:52.000Z
|
"""Provides I/O modules using dask dataframe."""
__all__ = ["ParquetDataSet"]
from contextlib import suppress
with suppress(ImportError):
from .parquet_dataset import ParquetDataSet
| 21
| 48
| 0.772487
| 21
| 189
| 6.714286
| 0.809524
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.137566
| 189
| 8
| 49
| 23.625
| 0.865031
| 0.222222
| 0
| 0
| 0
| 0
| 0.099291
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.75
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| 0
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| 0
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| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
d94cc3af4d2eeaafc74696a281f9c1121b310b20
| 714
|
py
|
Python
|
app/error.py
|
hliu127/elastic-object-detection-and-monitor-dashboard
|
4f5834d2ce813c15c3c60dc0fec9969f63d8f6a3
|
[
"MIT"
] | 4
|
2020-11-01T10:31:59.000Z
|
2021-12-28T19:56:23.000Z
|
app/error.py
|
hliu127/elastic-object-detection-and-monitor-dashboard
|
4f5834d2ce813c15c3c60dc0fec9969f63d8f6a3
|
[
"MIT"
] | 5
|
2021-04-30T21:17:32.000Z
|
2022-02-10T01:26:51.000Z
|
app/error.py
|
rachelran6/elastic-object-detection-and-monitor-dashboard
|
88f4659b6830b13efccb1b16ab2ca40300a5b6ac
|
[
"MIT"
] | null | null | null |
from werkzeug.exceptions import HTTPException
from flask import json
from flask import render_template, request, Flask
app = Flask(__name__)
@app.errorhandler(404)
def page_not_found(e):
return render_template('error.html', message=e.description), 404
@app.errorhandler(403)
def forbidden(e):
return render_template('error.html', message=e.description), 403
@app.errorhandler(401)
def unauthorized(e):
return render_template('error.html', message=e.description), 401
@app.errorhandler(500)
def server_error(e):
return render_template('error.html', message=e.description), 500
@app.errorhandler(400)
def bad_request(e):
return render_template('error.html', message=e.description), 400
| 23.8
| 68
| 0.764706
| 98
| 714
| 5.428571
| 0.326531
| 0.157895
| 0.12218
| 0.197368
| 0.460526
| 0.460526
| 0.460526
| 0.460526
| 0.460526
| 0
| 0
| 0.047468
| 0.114846
| 714
| 29
| 69
| 24.62069
| 0.794304
| 0
| 0
| 0
| 0
| 0
| 0.070028
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.263158
| false
| 0
| 0.157895
| 0.263158
| 0.684211
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
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| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 4
|
d95000da5d064929ed341dc4c318f208c4478c80
| 213
|
py
|
Python
|
covid_world_scraper/constants.py
|
biglocalnews/covid-world-scraper
|
385f792b32d58dbf67a524c36e60d21f76e463ef
|
[
"0BSD"
] | null | null | null |
covid_world_scraper/constants.py
|
biglocalnews/covid-world-scraper
|
385f792b32d58dbf67a524c36e60d21f76e463ef
|
[
"0BSD"
] | 11
|
2020-07-14T02:16:32.000Z
|
2022-01-31T18:06:49.000Z
|
covid_world_scraper/constants.py
|
biglocalnews/covid-world-scraper
|
385f792b32d58dbf67a524c36e60d21f76e463ef
|
[
"0BSD"
] | null | null | null |
import pathlib
DEFAULT_CACHE_DIR=str(
pathlib.Path\
.home()\
.joinpath('covid-world-scraper-data')
)
DEFAULT_LOG_FILE=str(pathlib.Path(DEFAULT_CACHE_DIR).joinpath('covid-world-scraper.log'))
| 21.3
| 89
| 0.713615
| 28
| 213
| 5.214286
| 0.535714
| 0.164384
| 0.205479
| 0.342466
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.140845
| 213
| 9
| 90
| 23.666667
| 0.797814
| 0
| 0
| 0
| 0
| 0
| 0.221698
| 0.221698
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.142857
| 0
| 0.142857
| 0
| 1
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
d96c17b958911fd75f930b363ab43bddd8809a04
| 223
|
py
|
Python
|
src/outpost/django/lti/admin.py
|
medunigraz/outpost.django.lti
|
b2ea11ad1eddce5607773be76062de0405b7bde9
|
[
"BSD-2-Clause"
] | null | null | null |
src/outpost/django/lti/admin.py
|
medunigraz/outpost.django.lti
|
b2ea11ad1eddce5607773be76062de0405b7bde9
|
[
"BSD-2-Clause"
] | null | null | null |
src/outpost/django/lti/admin.py
|
medunigraz/outpost.django.lti
|
b2ea11ad1eddce5607773be76062de0405b7bde9
|
[
"BSD-2-Clause"
] | null | null | null |
from django.contrib import admin
from . import models
@admin.register(models.Consumer)
class ConsumerAdmin(admin.ModelAdmin):
pass
@admin.register(models.GroupRole)
class GroupRoleAdmin(admin.ModelAdmin):
pass
| 15.928571
| 39
| 0.780269
| 26
| 223
| 6.692308
| 0.538462
| 0.149425
| 0.218391
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.130045
| 223
| 13
| 40
| 17.153846
| 0.896907
| 0
| 0
| 0.25
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0.25
| 0.25
| 0
| 0.5
| 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
| 1
| 1
| 0
| 0
| 0
| 0
|
0
| 4
|
79d60be3d1535e2ed13bd4806a0a2528020eed13
| 127
|
py
|
Python
|
ERP/saidas/views.py
|
CSAAtibaia/CSAERP
|
ffd09fcfc1df0e9faecdaceb7c7497a4aa2894cc
|
[
"MIT"
] | null | null | null |
ERP/saidas/views.py
|
CSAAtibaia/CSAERP
|
ffd09fcfc1df0e9faecdaceb7c7497a4aa2894cc
|
[
"MIT"
] | null | null | null |
ERP/saidas/views.py
|
CSAAtibaia/CSAERP
|
ffd09fcfc1df0e9faecdaceb7c7497a4aa2894cc
|
[
"MIT"
] | null | null | null |
from django.shortcuts import render
# Create your views here.
def index(request):
output = 'Hi there'
return output
| 14.111111
| 35
| 0.708661
| 17
| 127
| 5.294118
| 0.941176
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.220472
| 127
| 8
| 36
| 15.875
| 0.909091
| 0.181102
| 0
| 0
| 0
| 0
| 0.078431
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0
| 0.25
| 0
| 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
| 0
| 1
| 0
|
0
| 4
|
8dd558ca22c679ba392bf6af3588d3e414c7d10f
| 44
|
py
|
Python
|
udplog/__init__.py
|
ralphm/udplog
|
04fa2045f0eb23dfd73be704ac7713384c6860d7
|
[
"MIT"
] | null | null | null |
udplog/__init__.py
|
ralphm/udplog
|
04fa2045f0eb23dfd73be704ac7713384c6860d7
|
[
"MIT"
] | 1
|
2018-02-27T20:09:35.000Z
|
2018-02-27T20:09:35.000Z
|
udplog/__init__.py
|
ralphm/udplog
|
04fa2045f0eb23dfd73be704ac7713384c6860d7
|
[
"MIT"
] | 1
|
2016-10-11T12:27:33.000Z
|
2016-10-11T12:27:33.000Z
|
"""
UDPLog: structured logging via UDP.
"""
| 11
| 35
| 0.659091
| 5
| 44
| 5.8
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.159091
| 44
| 3
| 36
| 14.666667
| 0.783784
| 0.795455
| 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
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
8dfbc413c15430fcfea15db47af5bd8791227b79
| 193
|
py
|
Python
|
appengine_config.py
|
rezendi/epubhub
|
63a2c7b08c232c3d255f146107c4e7d4b566deba
|
[
"Apache-2.0"
] | 3
|
2015-03-13T02:23:31.000Z
|
2020-06-08T04:00:11.000Z
|
appengine_config.py
|
rezendi/epubhub
|
63a2c7b08c232c3d255f146107c4e7d4b566deba
|
[
"Apache-2.0"
] | null | null | null |
appengine_config.py
|
rezendi/epubhub
|
63a2c7b08c232c3d255f146107c4e7d4b566deba
|
[
"Apache-2.0"
] | 1
|
2020-03-01T06:48:30.000Z
|
2020-03-01T06:48:30.000Z
|
from gaesessions import SessionMiddleware
def webapp_add_wsgi_middleware(app):
app = SessionMiddleware(app, cookie_key="e88de590-f86e-11e1-a21f-0800200c9a66", no_datastore=True)
return app
| 38.6
| 100
| 0.829016
| 25
| 193
| 6.2
| 0.84
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.125
| 0.088083
| 193
| 5
| 101
| 38.6
| 0.755682
| 0
| 0
| 0
| 0
| 0
| 0.185567
| 0.185567
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0
| 0.25
| 0
| 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
| 0
| 1
| 0
|
0
| 4
|
5c28ce89a5ff5fc249cd931e59761fc42a890b5c
| 587
|
py
|
Python
|
codewars/8 kyu/remove-string-spaces.py
|
sirken/coding-practice
|
9c5e23b2c24f525a89a5e1d15ce3aec3ad1a01ab
|
[
"MIT"
] | null | null | null |
codewars/8 kyu/remove-string-spaces.py
|
sirken/coding-practice
|
9c5e23b2c24f525a89a5e1d15ce3aec3ad1a01ab
|
[
"MIT"
] | null | null | null |
codewars/8 kyu/remove-string-spaces.py
|
sirken/coding-practice
|
9c5e23b2c24f525a89a5e1d15ce3aec3ad1a01ab
|
[
"MIT"
] | null | null | null |
from Test import Test, Test as test
'''
Simple, remove the spaces from the string, then return the resultant string.
'''
def no_space(x):
return x.replace(' ', '')
Test.describe("Basic tests")
Test.assert_equals(no_space('8 j 8 mBliB8g imjB8B8 jl B'), '8j8mBliB8gimjB8B8jlB')
Test.assert_equals(no_space('8 8 Bi fk8h B 8 BB8B B B B888 c hl8 BhB fd'), '88Bifk8hB8BB8BBBB888chl8BhBfd')
Test.assert_equals(no_space('8aaaaa dddd r '), '8aaaaaddddr')
Test.assert_equals(no_space('jfBm gk lf8hg 88lbe8 '), 'jfBmgklf8hg88lbe8')
Test.assert_equals(no_space('8j aam'), '8jaam')
| 39.133333
| 108
| 0.727428
| 90
| 587
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| 0
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|
0
| 4
|
5c470edfd9e23c6fd9792a79dfb921cd416509d1
| 101
|
py
|
Python
|
webcampicture/apps.py
|
rnetonet/django-webcampicture
|
1b9d07a2bd40038c3827f28ed60e4c22c5f03b32
|
[
"MIT"
] | 2
|
2021-09-06T03:20:35.000Z
|
2021-09-30T19:29:42.000Z
|
webcampicture/apps.py
|
rnetonet/django-webcampicture
|
1b9d07a2bd40038c3827f28ed60e4c22c5f03b32
|
[
"MIT"
] | 2
|
2021-09-06T13:52:02.000Z
|
2021-09-11T14:51:01.000Z
|
webcampicture/apps.py
|
rnetonet/django-webcampicture
|
1b9d07a2bd40038c3827f28ed60e4c22c5f03b32
|
[
"MIT"
] | 1
|
2021-09-30T19:32:02.000Z
|
2021-09-30T19:32:02.000Z
|
from django.apps import AppConfig
class WebcamPictureConfig(AppConfig):
name = "webcampicture"
| 16.833333
| 37
| 0.782178
| 10
| 101
| 7.9
| 0.9
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| 101
| 5
| 38
| 20.2
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0
| 4
|
3093ba63aea36bda954926676bfac22c6a6fcd29
| 259
|
py
|
Python
|
ross/__init__.py
|
PedroBernardino/ross
|
d8b74aa97b0a02108e15c316b8202964b2f7a532
|
[
"MIT"
] | 1
|
2020-10-13T15:23:58.000Z
|
2020-10-13T15:23:58.000Z
|
ross/__init__.py
|
PedroBernardino/ross
|
d8b74aa97b0a02108e15c316b8202964b2f7a532
|
[
"MIT"
] | null | null | null |
ross/__init__.py
|
PedroBernardino/ross
|
d8b74aa97b0a02108e15c316b8202964b2f7a532
|
[
"MIT"
] | 2
|
2019-12-17T16:05:56.000Z
|
2020-04-27T13:37:47.000Z
|
__version__ = "0.3.3"
from .api_report import *
from .bearing_seal_element import *
from .disk_element import *
from .materials import *
from .point_mass import *
from .rotor_assembly import *
from .shaft_element import *
from .utils import visualize_matrix
| 23.545455
| 35
| 0.783784
| 37
| 259
| 5.162162
| 0.540541
| 0.366492
| 0.267016
| 0
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| 0.013453
| 0.138996
| 259
| 10
| 36
| 25.9
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| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
30b8bbaaa5ff2b5178baa434b719b877fb3378db
| 91
|
py
|
Python
|
wbia/tests/__init__.py
|
dylanirion/wildbook-ia
|
3b7c30a6e123d87999950bfbb5035c4d9c1a6f5d
|
[
"Apache-2.0"
] | 20
|
2021-01-19T23:17:21.000Z
|
2022-03-21T10:25:56.000Z
|
wbia/tests/__init__.py
|
solomonkimunyu/wildbook-ia
|
ac433d4f2a47b1d905c421a36c497f787003afc3
|
[
"Apache-2.0"
] | 58
|
2020-06-05T19:02:48.000Z
|
2021-01-14T15:27:33.000Z
|
wbia/tests/__init__.py
|
solomonkimunyu/wildbook-ia
|
ac433d4f2a47b1d905c421a36c497f787003afc3
|
[
"Apache-2.0"
] | 9
|
2021-02-13T20:19:46.000Z
|
2022-03-29T10:47:11.000Z
|
# -*- coding: utf-8 -*-
import utool as ut
ut.noinject(__name__, '[wbia.tests.__init__]')
| 18.2
| 46
| 0.659341
| 13
| 91
| 4
| 0.923077
| 0
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| 0.131868
| 91
| 4
| 47
| 22.75
| 0.64557
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0
| 4
|
30e5462c4ad9c87ca8e3439502f452b0bebdb2cb
| 479
|
py
|
Python
|
b_basic/hello_world.py
|
nicolasessisbreton/pyzehe
|
7497a0095d974ac912ce9826a27e21fd9d513942
|
[
"Apache-2.0"
] | 1
|
2018-05-31T19:36:36.000Z
|
2018-05-31T19:36:36.000Z
|
b_basic/hello_world.py
|
nicolasessisbreton/pyzehe
|
7497a0095d974ac912ce9826a27e21fd9d513942
|
[
"Apache-2.0"
] | 1
|
2018-05-31T01:10:51.000Z
|
2018-05-31T01:10:51.000Z
|
b_basic/hello_world.py
|
nicolasessisbreton/pyzehe
|
7497a0095d974ac912ce9826a27e21fd9d513942
|
[
"Apache-2.0"
] | null | null | null |
"""
type ctrl+space
this executes this file
type ctrl+.
you see the result in a pane
to see the result in a file
type ctrl+.
select line 20 (g 20 g v $)
type ctrl+enter
this executes your selection
you see the result in a pane
to see the result in a file
type ctrl+.
"""
print('hello world!')
"""
ctrl+space ctrl+. and ctrl+enter are your friends
use them to execute file in test_all.py marked with
import file_name
you can even execute
test_all.py
"""
| 15.966667
| 51
| 0.701461
| 88
| 479
| 3.784091
| 0.454545
| 0.12012
| 0.144144
| 0.168168
| 0.306306
| 0.306306
| 0.306306
| 0.306306
| 0.306306
| 0.306306
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| 479
| 30
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|
0
| 4
|
a505adca814e0be44b87f24c2966ffdef0ca5c0f
| 195
|
py
|
Python
|
plb-web-env/bin/django-admin.py
|
nkelton/Project-Litter-Bug-Front-End
|
366f1777091cac84c464204bfb39e1f54fa004f2
|
[
"MIT"
] | null | null | null |
plb-web-env/bin/django-admin.py
|
nkelton/Project-Litter-Bug-Front-End
|
366f1777091cac84c464204bfb39e1f54fa004f2
|
[
"MIT"
] | 6
|
2020-02-12T00:43:26.000Z
|
2022-02-11T03:43:30.000Z
|
plb-web-env/bin/django-admin.py
|
nkelton/Project-Litter-Bug-Front-End
|
366f1777091cac84c464204bfb39e1f54fa004f2
|
[
"MIT"
] | null | null | null |
#!/Users/nicholaskelton/PycharmProjects/Project-Litter-Bug-Web/plb-web-env/bin/python3.7
from django.core import management
if __name__ == "__main__":
management.execute_from_command_line()
| 32.5
| 88
| 0.8
| 26
| 195
| 5.576923
| 0.884615
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| 0.076923
| 195
| 5
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| 39
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|
0
| 4
|
eb4db48a819df3dd15143eb12e5ad06cf4166a5c
| 25,361
|
py
|
Python
|
pydl/nnLayers/functional/gradChecker.py
|
AndreiDavydov/Poisson_Denoiser
|
a0b8f3dce8282b8e50d44cacb7bdc4fc6d4abc22
|
[
"MIT"
] | 4
|
2019-12-24T10:54:40.000Z
|
2021-12-27T14:07:06.000Z
|
pydl/nnLayers/functional/gradChecker.py
|
AndreiDavydov/Poisson_Denoiser
|
a0b8f3dce8282b8e50d44cacb7bdc4fc6d4abc22
|
[
"MIT"
] | null | null | null |
pydl/nnLayers/functional/gradChecker.py
|
AndreiDavydov/Poisson_Denoiser
|
a0b8f3dce8282b8e50d44cacb7bdc4fc6d4abc22
|
[
"MIT"
] | 1
|
2020-09-28T06:04:12.000Z
|
2020-09-28T06:04:12.000Z
|
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Mar 5 08:20:50 2018
@author: stamatis
@email : s.lefkimmiatis@skoltech.ru
"""
#import math
import numpy as np
import torch as th
from torch.autograd import Variable
from pydl.nnLayers.functional import functional
def symmetricPad2D(epsilon=1e-4,dtype='torch.DoubleTensor',GPU=False):
symmetricPad2DF = functional.SymmetricPad2D.apply
x = th.randn(4,3,40,40).type(dtype)
pad = tuple(np.random.randint(0,20,(4,)))
if GPU and th.cuda.is_available():
x = x.cuda()
sz_x = x.size()
x_numgrad = th.zeros_like(x).view(-1)
perturb = x_numgrad.clone()
cost = lambda input: cost_symmetricPad2D(input,pad)
for k in range(0,x.numel()):
perturb[k] = epsilon
loss1 = cost(x.view(-1).add(perturb).view(sz_x))
loss2 = cost(x.view(-1).add(-perturb).view(sz_x))
x_numgrad[k] = (loss1-loss2)/(2*perturb[k])
perturb[k] = 0
x_numgrad = x_numgrad.view(sz_x)
x_var = Variable(x,requires_grad = True)
y = symmetricPad2DF(x_var,pad)
grad_output = th.ones_like(y)
y.backward(grad_output)
err_x = th.norm(x_var.grad.data.view(-1) - x_numgrad.view(-1))/\
th.norm(x_var.grad.data.view(-1) + x_numgrad.view(-1))
return err_x, x_var.grad, x_numgrad
def symmetricPad_transpose2D(epsilon=1e-4,dtype='torch.DoubleTensor',GPU=False):
symmetricPad_transpose2DF = functional.SymmetricPad_transpose2D.apply
x = th.randn(4,3,20,20).type(dtype)
crop = tuple(np.random.randint(0,10,(4,)))
x = functional.SymmetricPad2D.apply(x,crop)
if GPU and th.cuda.is_available():
x = x.cuda()
sz_x = x.size()
x_numgrad = th.zeros_like(x).view(-1)
perturb = x_numgrad.clone()
cost = lambda input: cost_symmetricPad_transpose2D(input,crop)
for k in range(0,x.numel()):
perturb[k] = epsilon
loss1 = cost(x.view(-1).add(perturb).view(sz_x))
loss2 = cost(x.view(-1).add(-perturb).view(sz_x))
x_numgrad[k] = (loss1-loss2)/(2*perturb[k])
perturb[k] = 0
x_numgrad = x_numgrad.view(sz_x)
x_var = Variable(x,requires_grad = True)
y = symmetricPad_transpose2DF(x_var,crop)
grad_output = th.ones_like(y)
y.backward(grad_output)
err_x = th.norm(x_var.grad.data.view(-1) - x_numgrad.view(-1))/\
th.norm(x_var.grad.data.view(-1) + x_numgrad.view(-1))
return err_x, x_var.grad, x_numgrad
def l2Proj(epsilon=1e-4,dtype='torch.DoubleTensor',GPU=False):
l2ProjF = functional.L2Proj.apply
x = th.randn(4,3,40,40).type(dtype)
x -= x.view(x.size(0),-1).min().view(-1,1,1,1)
x /= x.view(x.size(0),-1).max().view(-1,1,1,1)
x = x*255
alpha = th.Tensor(np.random.randint(0,3,(1,))).type(dtype)
stdn = th.Tensor(np.random.randint(5,20,(4,1))).type(dtype)
if GPU and th.cuda.is_available():
x = x.cuda()
alpha = alpha.cuda()
stdn = stdn.cuda()
sz_x = x.size()
grad_output = th.randn_like(x)
x_numgrad = th.zeros_like(x).view(-1)
perturb = x_numgrad.clone()
cost = lambda input: cost_l2Proj(input,alpha,stdn,grad_output)
for k in range(0,x.numel()):
perturb[k] = epsilon
loss1 = cost(x.view(-1).add(perturb).view(sz_x))
loss2 = cost(x.view(-1).add(-perturb).view(sz_x))
x_numgrad[k] = (loss1-loss2)/(2*perturb[k])
perturb[k] = 0
x_numgrad = x_numgrad.view(sz_x)
sz_alpha = alpha.size()
alpha_numgrad = th.zeros_like(alpha).view(-1)
perturb = alpha_numgrad.clone()
cost = lambda input : cost_l2Proj(x,input,stdn,grad_output)
for k in range(0,alpha.numel()):
perturb[k] = epsilon
loss1 = cost(alpha.view(-1).add(perturb).view(sz_alpha))
loss2 = cost(alpha.view(-1).add(-perturb).view(sz_alpha))
alpha_numgrad[k] = (loss1-loss2)/(2*perturb[k])
perturb[k] = 0
alpha_numgrad = alpha_numgrad.view(sz_alpha)
x_var = Variable(x,requires_grad = True)
alpha_var = Variable(alpha,requires_grad = True)
y = l2ProjF(x_var,alpha_var,stdn)
y.backward(grad_output)
err_x = th.norm(x_var.grad.data.view(-1) - x_numgrad.view(-1))/\
th.norm(x_var.grad.data.view(-1) + x_numgrad.view(-1))
err_a = th.norm(alpha_var.grad.data.view(-1) - alpha_numgrad.view(-1))/\
th.norm(alpha_var.grad.data.view(-1) + alpha_numgrad.view(-1))
return err_x, x_var.grad.data, x_numgrad, err_a, alpha_var.grad.data, alpha_numgrad
def SVl2Proj(epsilon=1e-4,dtype='torch.DoubleTensor',GPU=False):
SVl2ProjF = functional.SVL2Proj.apply
x = th.randn(2,3,30,30).type(dtype)
x -= x.view(x.size(0),-1).min().view(-1,1,1,1)
x /= x.view(x.size(0),-1).max().view(-1,1,1,1)
x = x*255
alpha = th.Tensor(np.random.randint(0,3,(1,))).type(dtype)
stdn = th.Tensor(np.random.randint(5,20,(x.numel(),1))).type(dtype)
stdn = stdn.view_as(x).contiguous()
if GPU and th.cuda.is_available():
x = x.cuda()
alpha = alpha.cuda()
stdn = stdn.cuda()
sz_x = x.size()
grad_output = th.randn_like(x)
x_numgrad = th.zeros_like(x).view(-1)
perturb = x_numgrad.clone()
cost = lambda input: cost_SVl2Proj(input,alpha,stdn,grad_output)
for k in range(0,x.numel()):
perturb[k] = epsilon
loss1 = cost(x.view(-1).add(perturb).view(sz_x))
loss2 = cost(x.view(-1).add(-perturb).view(sz_x))
x_numgrad[k] = (loss1-loss2)/(2*perturb[k])
perturb[k] = 0
x_numgrad = x_numgrad.view(sz_x)
sz_alpha = alpha.size()
alpha_numgrad = th.zeros_like(alpha).view(-1)
perturb = alpha_numgrad.clone()
cost = lambda input : cost_SVl2Proj(x,input,stdn,grad_output)
for k in range(0,alpha.numel()):
perturb[k] = epsilon
loss1 = cost(alpha.view(-1).add(perturb).view(sz_alpha))
loss2 = cost(alpha.view(-1).add(-perturb).view(sz_alpha))
alpha_numgrad[k] = (loss1-loss2)/(2*perturb[k])
perturb[k] = 0
alpha_numgrad = alpha_numgrad.view(sz_alpha)
x_var = Variable(x,requires_grad = True)
alpha_var = Variable(alpha,requires_grad = True)
y = SVl2ProjF(x_var,alpha_var,stdn)
y.backward(grad_output)
err_x = th.norm(x_var.grad.data.view(-1) - x_numgrad.view(-1))/\
th.norm(x_var.grad.data.view(-1) + x_numgrad.view(-1))
err_a = th.norm(alpha_var.grad.data.view(-1) - alpha_numgrad.view(-1))/\
th.norm(alpha_var.grad.data.view(-1) + alpha_numgrad.view(-1))
return err_x, x_var.grad.data, x_numgrad, err_a, alpha_var.grad.data, alpha_numgrad
def l2Prox(epsilon=1e-4,dtype='torch.DoubleTensor',GPU=False):
l2ProxF = functional.L2Prox.apply
x = th.randn(4,3,40,40).type(dtype)
x -= x.view(x.size(0),-1).min().view(-1,1,1,1)
x /= x.view(x.size(0),-1).max().view(-1,1,1,1)
x = x*255
z = th.randn(4,3,40,40).type(dtype)
z -= z.view(z.size(0),-1).min().view(-1,1,1,1)
z /= z.view(z.size(0),-1).max().view(-1,1,1,1)
z = z*255
alpha = th.Tensor(np.random.randint(0,3,(1,))).type(dtype)
stdn = th.Tensor(np.random.randint(5,20,(4,1))).type(dtype)
if GPU and th.cuda.is_available():
x = x.cuda()
z = z.cuda()
alpha = alpha.cuda()
stdn = stdn.cuda()
sz_x = x.size()
grad_output = th.randn_like(x)
x_numgrad = th.zeros_like(x).view(-1)
perturb = x_numgrad.clone()
cost = lambda input: cost_l2Prox(input,z,alpha,stdn,grad_output)
for k in range(0,x.numel()):
perturb[k] = epsilon
loss1 = cost(x.view(-1).add(perturb).view(sz_x))
loss2 = cost(x.view(-1).add(-perturb).view(sz_x))
x_numgrad[k] = (loss1-loss2)/(2*perturb[k])
perturb[k] = 0
x_numgrad = x_numgrad.view(sz_x)
sz_alpha = alpha.size()
alpha_numgrad = th.zeros_like(alpha).view(-1)
perturb = alpha_numgrad.clone()
cost = lambda input : cost_l2Prox(x,z,input,stdn,grad_output)
for k in range(0,alpha.numel()):
perturb[k] = epsilon
loss1 = cost(alpha.view(-1).add(perturb).view(sz_alpha))
loss2 = cost(alpha.view(-1).add(-perturb).view(sz_alpha))
alpha_numgrad[k] = (loss1-loss2)/(2*perturb[k])
perturb[k] = 0
alpha_numgrad = alpha_numgrad.view(sz_alpha)
x_var = Variable(x,requires_grad = True)
alpha_var = Variable(alpha,requires_grad = True)
y = l2ProxF(x_var,z,alpha_var,stdn)
y.backward(grad_output)
err_x = th.norm(x_var.grad.data.view(-1) - x_numgrad.view(-1))/\
th.norm(x_var.grad.data.view(-1) + x_numgrad.view(-1))
err_a = th.norm(alpha_var.grad.data.view(-1) - alpha_numgrad.view(-1))/\
th.norm(alpha_var.grad.data.view(-1) + alpha_numgrad.view(-1))
return err_x, x_var.grad.data, x_numgrad, err_a, alpha_var.grad.data, alpha_numgrad
def SVl2Prox(epsilon=1e-4,dtype='torch.DoubleTensor',GPU=False):
SVl2ProxF = functional.SVL2Prox.apply
x = th.randn(2,3,30,30).type(dtype)
x -= x.view(x.size(0),-1).min().view(-1,1,1,1)
x /= x.view(x.size(0),-1).max().view(-1,1,1,1)
x = x*255
z = th.randn_like(x)
z -= z.view(z.size(0),-1).min().view(-1,1,1,1)
z /= z.view(z.size(0),-1).max().view(-1,1,1,1)
z = z*255
alpha = th.Tensor(np.random.randint(0,3,(1,))).type(dtype)
stdn = th.Tensor(np.random.randint(5,20,(x.numel(),1))).type(dtype)
stdn = stdn.view_as(x).contiguous()
if GPU and th.cuda.is_available():
x = x.cuda()
z = z.cuda()
alpha = alpha.cuda()
stdn = stdn.cuda()
sz_x = x.size()
grad_output = th.randn_like(x)
x_numgrad = th.zeros_like(x).view(-1)
perturb = x_numgrad.clone()
cost = lambda input: cost_SVl2Prox(input,z,alpha,stdn,grad_output)
for k in range(0,x.numel()):
perturb[k] = epsilon
loss1 = cost(x.view(-1).add(perturb).view(sz_x))
loss2 = cost(x.view(-1).add(-perturb).view(sz_x))
x_numgrad[k] = (loss1-loss2)/(2*perturb[k])
perturb[k] = 0
print("{}\n".format(k))
x_numgrad = x_numgrad.view(sz_x)
sz_alpha = alpha.size()
alpha_numgrad = th.zeros_like(alpha).view(-1)
perturb = alpha_numgrad.clone()
cost = lambda input : cost_SVl2Prox(x,z,input,stdn,grad_output)
for k in range(0,alpha.numel()):
perturb[k] = epsilon
loss1 = cost(alpha.view(-1).add(perturb).view(sz_alpha))
loss2 = cost(alpha.view(-1).add(-perturb).view(sz_alpha))
alpha_numgrad[k] = (loss1-loss2)/(2*perturb[k])
perturb[k] = 0
alpha_numgrad = alpha_numgrad.view(sz_alpha)
x_var = Variable(x,requires_grad = True)
alpha_var = Variable(alpha,requires_grad = True)
y = SVl2ProxF(x_var,z,alpha_var,stdn)
y.backward(grad_output)
err_x = th.norm(x_var.grad.data.view(-1) - x_numgrad.view(-1))/\
th.norm(x_var.grad.data.view(-1) + x_numgrad.view(-1))
err_a = th.norm(alpha_var.grad.data.view(-1) - alpha_numgrad.view(-1))/\
th.norm(alpha_var.grad.data.view(-1) + alpha_numgrad.view(-1))
return err_x, x_var.grad.data, x_numgrad, err_a, alpha_var.grad.data, alpha_numgrad
def grbf_lut(epsilon=1e-4,dtype='torch.DoubleTensor',GPU=False):
grbf_lutF = functional.Grbf_lut.apply
x = th.randn(2,3,20,20).type(dtype)
x = x - x.min()
x = x/x.max()
x = (x*208)-104
origin,step,sigma,centers = -104,0.1,4,th.range(-100,100,4).type_as(x)
weights = th.randn(x.size(1),centers.numel()).type_as(x)
if GPU and th.cuda.is_available():
x = x.cuda()
weights = weights.cuda()
sz_x = x.size()
grad_output = th.randn_like(x)
x_numgrad = th.zeros_like(x).view(-1)
perturb = x_numgrad.clone()
cost = lambda input: cost_grbf_lut(input,weights,centers,sigma,origin,step,grad_output)
for k in range(0,x.numel()):
perturb[k] = epsilon
loss1 = cost(x.view(-1).add(perturb).view(sz_x))
loss2 = cost(x.view(-1).add(-perturb).view(sz_x))
x_numgrad[k] = (loss1-loss2)/(2*perturb[k])
perturb[k] = 0
x_numgrad = x_numgrad.view(sz_x)
sz_weights = weights.size()
weights_numgrad = th.zeros_like(weights).view(-1)
perturb = weights_numgrad.clone()
cost = lambda input : cost_grbf_lut(x,input,centers,sigma,origin,step,grad_output)
for k in range(0,weights.numel()):
perturb[k] = epsilon
loss1 = cost(weights.view(-1).add(perturb).view(sz_weights))
loss2 = cost(weights.view(-1).add(-perturb).view(sz_weights))
weights_numgrad[k] = (loss1-loss2)/(2*perturb[k])
perturb[k] = 0
weights_numgrad = weights_numgrad.view(sz_weights)
x_var = Variable(x,requires_grad = True)
weights_var = Variable(weights,requires_grad = True)
y = grbf_lutF(x_var,weights_var,centers,sigma,origin,step)
y.backward(grad_output)
err_x = th.norm(x_var.grad.data.view(-1) - x_numgrad.view(-1))/\
th.norm(x_var.grad.data.view(-1) + x_numgrad.view(-1))
err_w = th.norm(weights_var.grad.data.view(-1) - weights_numgrad.view(-1))/\
th.norm(weights_var.grad.data.view(-1) + weights_numgrad.view(-1))
return err_x, x_var.grad.data, x_numgrad, err_w, weights_var.grad.data, weights_numgrad
def weightNormalization(epsilon=1e-4,dtype='torch.DoubleTensor',GPU=False,\
normalizedWeights=False,zeroMeanWeights=False):
weightNormalizationF = functional.WeightNormalization.apply
x = th.randn(4,3,40,40).type(dtype)*100+10
alpha = th.randn(4,1).type(dtype)
if GPU and th.cuda.is_available():
x = x.cuda()
alpha = alpha.cuda()
sz_x = x.size()
grad_output = th.randn_like(x)
x_numgrad = th.zeros_like(x).view(-1)
perturb = x_numgrad.clone()
cost = lambda input: cost_weightNormalization(input,alpha,normalizedWeights,zeroMeanWeights,grad_output)
for k in range(0,x.numel()):
perturb[k] = epsilon
loss1 = cost(x.view(-1).add(perturb).view(sz_x))
loss2 = cost(x.view(-1).add(-perturb).view(sz_x))
x_numgrad[k] = (loss1-loss2)/(2*perturb[k])
perturb[k] = 0
x_numgrad = x_numgrad.view(sz_x)
sz_alpha = alpha.size()
alpha_numgrad = th.zeros_like(alpha).view(-1)
perturb = alpha_numgrad.clone()
cost = lambda input: cost_weightNormalization(x,input,normalizedWeights,zeroMeanWeights,grad_output)
for k in range(0,alpha.numel()):
perturb[k] = epsilon
loss1 = cost(alpha.view(-1).add(perturb).view(sz_alpha))
loss2 = cost(alpha.view(-1).add(-perturb).view(sz_alpha))
alpha_numgrad[k] = (loss1-loss2)/(2*perturb[k])
perturb[k] = 0
alpha_numgrad = alpha_numgrad.view(sz_alpha)
x_var = Variable(x,requires_grad = True)
alpha_var = Variable(alpha,requires_grad = True)
y = weightNormalizationF(x_var,alpha_var,normalizedWeights,zeroMeanWeights)
y.backward(grad_output)
err_x = th.norm(x_var.grad.data.view(-1) - x_numgrad.view(-1))/\
th.norm(x_var.grad.data.view(-1) + x_numgrad.view(-1))
if normalizedWeights :
err_a = th.norm(alpha_var.grad.data.view(-1) - alpha_numgrad.view(-1))/\
th.norm(alpha_var.grad.data.view(-1) + alpha_numgrad.view(-1))
else:
err_a = None
return err_x, x_var.grad.data, x_numgrad, err_a, alpha_var.grad.data, alpha_numgrad
def EdgeTaper(epsilon=1e-4,dtype='torch.DoubleTensor',GPU=False):
from pydl.utils import gaussian_filter
EdgeTaperF = functional.EdgeTaper.apply
blurKernel = th.from_numpy(gaussian_filter((31,33),10)).type(dtype)
x =200*th.randn(2,3,50,50).type(dtype).abs()
if GPU and th.cuda.is_available():
blurKernel = blurKernel.cuda()
x = x.cuda()
grad_output = 200*th.randn(2,3,50,50).type(dtype)
sz_x = x.size()
x_numgrad = th.zeros_like(x).view(-1)
perturb = x_numgrad.clone()
cost = lambda input : cost_edgetaper(input,blurKernel,grad_output)
for k in range(0,x.numel()):
perturb[k] = epsilon
loss1 = cost(x.view(-1).add(perturb).view(sz_x))
loss2 = cost(x.view(-1).add(-perturb).view(sz_x))
x_numgrad[k] = (loss1-loss2)/(2*perturb[k])
perturb[k] = 0
x_numgrad = x_numgrad.view(sz_x)
x.requires_grad_()
y = EdgeTaperF(x,blurKernel)
y.backward(grad_output)
err_x = th.norm(x.grad.view(-1) - x_numgrad.view(-1))/\
th.norm(x.grad.view(-1) + x_numgrad.view(-1))
return err_x, x.grad, x_numgrad
def WienerFilter(epsilon=1e-4,dtype='torch.DoubleTensor',GPU=False,\
sharedChannels=False,sharedFilters=False,alphaSharedChannels=False,
gradWeights=True,gradAlpha=True,gradInput=True,color=True):
WienerFilterF = functional.WienerFilter.apply
blurKernel = th.randn(5,5).type(dtype)
batch,height,width = 2,50,50
channels = 3 if color else 1
x = 200*th.randn(batch,channels,height,width).type(dtype)
N = 4 # how many different wiener filters we use
D = 8 # how many regularization filters we use
if alphaSharedChannels:
alpha = np.random.randint(1,10,(N,1))/100
else:
alpha = np.random.randint(1,10,(N,channels))/100
alpha = th.from_numpy(alpha).type(dtype)
alpha = alpha.log()
wchannels = 1 if sharedChannels else channels
if sharedFilters:
weights = th.randn(D,wchannels,3,3).type(dtype)
else:
weights = th.randn(N,D,wchannels,3,3).type(dtype)
if GPU and th.cuda.is_available():
weights = weights.cuda()
x = x.cuda()
alpha = alpha.cuda()
blurKernel = blurKernel.cuda()
grad_output = th.randn(x.size(0),N,*x.shape[1:]).type(dtype)
if gradInput:
sz_x = x.size()
x_numgrad = th.zeros_like(x).view(-1)
perturb = x_numgrad.clone()
cost = lambda input: cost_WienerFilter(input,blurKernel,weights,alpha,grad_output)
for k in range(0,x.numel()):
perturb[k] = epsilon
loss1 = cost(x.view(-1).add(perturb).view(sz_x))
loss2 = cost(x.view(-1).add(-perturb).view(sz_x))
x_numgrad[k] = (loss1-loss2)/(2*perturb[k])
perturb[k] = 0
x_numgrad = x_numgrad.view(sz_x)
if gradWeights:
sz_w = weights.size()
weights_numgrad = th.zeros_like(weights).view(-1)
perturb = weights_numgrad.clone()
cost = lambda input: cost_WienerFilter(x,blurKernel,input,alpha,grad_output)
for k in range(0,weights.numel()):
perturb[k] = epsilon
loss1 = cost(weights.view(-1).add(perturb).view(sz_w))
loss2 = cost(weights.view(-1).add(-perturb).view(sz_w))
weights_numgrad[k] = (loss1-loss2)/(2*perturb[k])
perturb[k] = 0
weights_numgrad = weights_numgrad.view(sz_w)
if gradAlpha:
sz_a = alpha.size()
alpha_numgrad = th.zeros_like(alpha).view(-1)
perturb = alpha_numgrad.clone()
cost = lambda input: cost_WienerFilter(x,blurKernel,weights,input,grad_output)
for k in range(0,alpha.numel()):
perturb[k] = epsilon
loss1 = cost(alpha.view(-1).add(perturb).view(sz_a))
loss2 = cost(alpha.view(-1).add(-perturb).view(sz_a))
alpha_numgrad[k] = (loss1-loss2)/(2*perturb[k])
perturb[k] = 0
alpha_numgrad = alpha_numgrad.view(sz_a)
if gradInput:
x.requires_grad_()
if gradWeights:
weights.requires_grad_()
if gradAlpha:
alpha.requires_grad_()
y = WienerFilterF(x,blurKernel,weights,alpha)[0]
y.backward(grad_output)
if gradInput:
err_x = th.norm(x.grad.data.view(-1) - x_numgrad.view(-1))/\
th.norm(x.grad.data.view(-1) + x_numgrad.view(-1))
else:
err_x = None
x_numgrad = None
if gradWeights:
err_w = th.norm(weights.grad.data.view(-1) - weights_numgrad.view(-1))/\
th.norm(weights.grad.data.view(-1) + weights_numgrad.view(-1))
else:
err_w = None
weights_numgrad = None
if gradAlpha:
err_a = th.norm(alpha.grad.data.view(-1) - alpha_numgrad.view(-1))/\
th.norm(alpha.grad.data.view(-1) + alpha_numgrad.view(-1))
else:
err_a = None
alpha_numgrad = None
return err_x, x.grad, x_numgrad, err_w, weights.grad, weights_numgrad,\
err_a, alpha.grad, alpha_numgrad
def imloss(epsilon=1e-4,dtype='torch.DoubleTensor',GPU=False,loss='psnr',peakVal=255):
imlossF = functional.imLoss.apply
x = th.randn(4,3,40,40).abs().type(dtype)
x = x.div(x.max())*peakVal
y = th.randn(4,3,40,40).abs().type(dtype)
y = y.div(y.max())*peakVal
if GPU and th.cuda.is_available():
x = x.cuda()
y = y.cuda()
sz_x = x.size()
grad_output = th.ones(1).type_as(x)
x_numgrad = th.zeros_like(x).view(-1)
perturb = x_numgrad.clone()
cost = lambda input: cost_imloss(input,y,loss,peakVal)
for k in range(0,x.numel()):
perturb[k] = epsilon
loss1 = cost(x.view(-1).add(perturb).view(sz_x))
loss2 = cost(x.view(-1).add(-perturb).view(sz_x))
x_numgrad[k] = (loss1-loss2)/(2*perturb[k])
perturb[k] = 0
x_numgrad = x_numgrad.view(sz_x)
x_var = Variable(x,requires_grad = True)
z = imlossF(x_var,y,peakVal,loss)
z.backward(grad_output)
err_x = th.norm(x_var.grad.data.view(-1) - x_numgrad.view(-1))/\
th.norm(x_var.grad.data.view(-1) + x_numgrad.view(-1))
return err_x, x_var.grad.data, x_numgrad
def MSELoss(epsilon=1e-4,dtype='torch.DoubleTensor',GPU=False,peakVal=255,grad=False):
MSELossF = functional.mseLoss.apply
x = th.randn(4,3,40,40).abs().type(dtype)
x = x.div(x.max())*peakVal
y = th.randn(4,3,40,40).abs().type(dtype)
y = y.div(y.max())*peakVal
if GPU and th.cuda.is_available():
x = x.cuda()
y = y.cuda()
sz_x = x.size()
grad_output = th.ones(1).type_as(x)
x_numgrad = th.zeros_like(x).view(-1)
perturb = x_numgrad.clone()
cost = lambda input: cost_MSELoss(input,y,grad)
for k in range(0,x.numel()):
perturb[k] = epsilon
loss1 = cost(x.view(-1).add(perturb).view(sz_x))
loss2 = cost(x.view(-1).add(-perturb).view(sz_x))
x_numgrad[k] = (loss1-loss2)/(2*perturb[k])
perturb[k] = 0
x_numgrad = x_numgrad.view(sz_x)
x.requires_grad_()
z = MSELossF(x,y,grad)
z.backward(grad_output)
err_x = th.norm(x.grad.view(-1) - x_numgrad.view(-1))/\
th.norm(x.grad.view(-1) + x_numgrad.view(-1))
return err_x, x.grad, x_numgrad
def cost_symmetricPad2D(x,pad):
F = functional.SymmetricPad2D.apply
out = F(x,pad)
return out.sum()
def cost_symmetricPad_transpose2D(x,crop):
F = functional.SymmetricPad_transpose2D.apply
out = F(x,crop)
return out.sum()
def cost_l2Proj(x,alpha,stdn,weights):
F = functional.L2Proj.apply
out = F(x,alpha,stdn)
return out.mul(weights).sum()
def cost_SVl2Proj(x,alpha,stdn,weights):
F = functional.SVL2Proj.apply
out = F(x,alpha,stdn)
return out.mul(weights).sum()
def cost_l2Prox(x,z,alpha,stdn,weights):
F = functional.L2Prox.apply
out = F(x,z,alpha,stdn)
return out.mul(weights).sum()
def cost_SVl2Prox(x,z,alpha,stdn,weights):
F = functional.SVL2Prox.apply
out = F(x,z,alpha,stdn)
return out.mul(weights).sum()
def cost_grbf_lut(x,weights,centers,sigma,origin,step,grad_weights):
F = functional.Grbf_lut.apply
out = F(x,weights,centers,sigma,origin,step)
return out.mul(grad_weights).sum()
def cost_weightNormalization(x,alpha,normalizedWeights,zeroMeanWeights,weights):
F = functional.WeightNormalization.apply
out = F(x,alpha,normalizedWeights,zeroMeanWeights)
return out.mul(weights).sum()
def cost_WienerFilter(x,blurKernel,weights,alpha,gweights):
F = functional.WienerFilter.apply
out = F(x,blurKernel,weights,alpha)[0]
return out.mul(gweights).sum()
def cost_imloss(x,y,loss,peakVal):
F = functional.imLoss.apply
out = F(x,y,peakVal,loss)
return out
def cost_MSELoss(x,y,grad,mode="normal"):
F = functional.mseLoss.apply
out = F(x,y,grad,mode)
return out
def cost_edgetaper(x,blurKernel,weights):
F = functional.EdgeTaper.apply
out = F(x,blurKernel)
return out.mul(weights).sum()
| 33.90508
| 108
| 0.606088
| 3,851
| 25,361
| 3.854583
| 0.049078
| 0.051199
| 0.031865
| 0.04042
| 0.78786
| 0.765966
| 0.751549
| 0.730127
| 0.695163
| 0.673336
| 0
| 0.034287
| 0.235243
| 25,361
| 748
| 109
| 33.90508
| 0.731065
| 0.008872
| 0
| 0.698355
| 0
| 0
| 0.009154
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.043876
| false
| 0
| 0.009141
| 0
| 0.096892
| 0.001828
| 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
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
eb71db00baaadc6435a89f9bb798e3eb9c50d39c
| 1,166
|
py
|
Python
|
test/unit/test_testenv_create.py
|
tonybaloney/tox-nuitka
|
2ad1e291676a2248855f298522780863e7a7957b
|
[
"MIT"
] | 1
|
2018-08-12T17:43:05.000Z
|
2018-08-12T17:43:05.000Z
|
test/unit/test_testenv_create.py
|
tonybaloney/tox-nuitka
|
2ad1e291676a2248855f298522780863e7a7957b
|
[
"MIT"
] | 1
|
2018-08-06T04:25:32.000Z
|
2018-08-12T17:53:37.000Z
|
test/unit/test_testenv_create.py
|
tonybaloney/tox-nuitka
|
2ad1e291676a2248855f298522780863e7a7957b
|
[
"MIT"
] | null | null | null |
import pytest
import subprocess
import os
import sys
from tox_nuitka.plugin import tox_testenv_create
def test_pcall(venv, mocker, actioncls):
"""
Test that if the user did not specify any compile targets, nuitka is not installed
"""
action = actioncls()
mocker.patch.object(os, "environ", autospec=True)
mocker.patch("subprocess.Popen")
result = tox_testenv_create(venv, action)
assert result == True
# Check that pipenv was executed with the correct arguments
subprocess.Popen.assert_called_once_with(
[sys.executable, "-m", "pip", "install", "nuitka"],
action=action,
cwd=venv.path.dirpath(),
venv=False,
)
def test_no_pcall(venv, mocker, actioncls):
"""
Test that if the user did not specify any compile targets, nuitka is not installed
"""
action = actioncls()
mocker.patch.object(os, "environ", autospec=True)
mocker.patch("subprocess.Popen")
venv.envconfig.nuitka = None
result = tox_testenv_create(venv, action)
assert result == None
# Check that pipenv was executed with the correct arguments
subprocess.Popen.assert_not_called()
| 28.439024
| 86
| 0.692967
| 150
| 1,166
| 5.286667
| 0.386667
| 0.055486
| 0.06053
| 0.06053
| 0.716267
| 0.716267
| 0.716267
| 0.716267
| 0.605296
| 0.605296
| 0
| 0
| 0.21012
| 1,166
| 40
| 87
| 29.15
| 0.861021
| 0.241852
| 0
| 0.32
| 0
| 0
| 0.075117
| 0
| 0
| 0
| 0
| 0
| 0.16
| 1
| 0.08
| false
| 0
| 0.2
| 0
| 0.28
| 0
| 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
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
eb77ed529e28effad3377d4fcb6731a25bcbc76b
| 210
|
py
|
Python
|
app/api/treinador/constants.py
|
gahhhenrikk/gerenciador-de-equipes
|
1418a9ebae6e9b636b4597af9596206aa6cf75c2
|
[
"MIT"
] | 1
|
2020-08-13T20:59:33.000Z
|
2020-08-13T20:59:33.000Z
|
app/api/treinador/constants.py
|
AlbericoD/gerenciador-de-equipes
|
e6e7d084e5980c4ef05a46e0bfa4b70b13fcca4e
|
[
"MIT"
] | 19
|
2019-09-03T22:49:45.000Z
|
2022-02-26T20:06:12.000Z
|
app/api/treinador/constants.py
|
gahhhenrikk/gerenciador-de-equipes
|
1418a9ebae6e9b636b4597af9596206aa6cf75c2
|
[
"MIT"
] | 2
|
2019-09-03T20:16:34.000Z
|
2019-09-09T12:35:14.000Z
|
FUTEBOL = 'Futebol'
VOLEI = 'Volei'
NATACAO = 'Natacao'
LUTA = 'Luta'
ESPORTES_CAPACITADOS = [
(FUTEBOL, 'Futebol'),
(VOLEI, 'Volei'),
(NATACAO, 'Natação'),
(LUTA, 'Luta'),
]
| 21
| 29
| 0.533333
| 18
| 210
| 6.166667
| 0.388889
| 0.252252
| 0.342342
| 0.432432
| 0.558559
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.280952
| 210
| 10
| 30
| 21
| 0.735099
| 0
| 0
| 0
| 0
| 0
| 0.218009
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
eb8ddc65bd66243b17400432f57c1a03adf1bd55
| 54
|
py
|
Python
|
game/pkchess/utils/__init__.py
|
RaenonX/Jelly-Bot-API
|
c7da1e91783dce3a2b71b955b3a22b68db9056cf
|
[
"MIT"
] | 5
|
2020-08-26T20:12:00.000Z
|
2020-12-11T16:39:22.000Z
|
game/pkchess/utils/__init__.py
|
RaenonX/Jelly-Bot
|
c7da1e91783dce3a2b71b955b3a22b68db9056cf
|
[
"MIT"
] | 234
|
2019-12-14T03:45:19.000Z
|
2020-08-26T18:55:19.000Z
|
game/pkchess/utils/__init__.py
|
RaenonX/Jelly-Bot-API
|
c7da1e91783dce3a2b71b955b3a22b68db9056cf
|
[
"MIT"
] | 2
|
2019-10-23T15:21:15.000Z
|
2020-05-22T09:35:55.000Z
|
"""This module contains various utils of the game."""
| 27
| 53
| 0.722222
| 8
| 54
| 4.875
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.148148
| 54
| 1
| 54
| 54
| 0.847826
| 0.87037
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 0
| 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
| 4
|
ebdee6396b275fb1cf38fa4a90c4b4e33d88754b
| 116
|
py
|
Python
|
foxford_downloader/past_releases/v2/install.py
|
alexandrshylov/foxford_courses
|
c987facbd697068406cfb23554c68a80ff74ee9e
|
[
"MIT"
] | 1
|
2021-08-19T20:06:52.000Z
|
2021-08-19T20:06:52.000Z
|
foxford_downloader/past_releases/v2/install.py
|
alexandrshylov/foxford_courses
|
c987facbd697068406cfb23554c68a80ff74ee9e
|
[
"MIT"
] | null | null | null |
foxford_downloader/past_releases/v2/install.py
|
alexandrshylov/foxford_courses
|
c987facbd697068406cfb23554c68a80ff74ee9e
|
[
"MIT"
] | null | null | null |
# -*- coding: utf-8 -*-
from subprocess import call
call("pip install selenium Pillow beautifulsoup4", shell=True)
| 23.2
| 62
| 0.732759
| 15
| 116
| 5.666667
| 0.933333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.02
| 0.137931
| 116
| 4
| 63
| 29
| 0.83
| 0.181034
| 0
| 0
| 0
| 0
| 0.451613
| 0
| 0
| 0
| 0
| 0
| 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
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
cce3ef5808ea169c0af8a1422bf1765c742328f2
| 55
|
py
|
Python
|
ex46.py
|
cohadar/learn-python-the-hard-way
|
10d88fe59a8abc5303661cfe91c6db9fa71bdd56
|
[
"MIT"
] | null | null | null |
ex46.py
|
cohadar/learn-python-the-hard-way
|
10d88fe59a8abc5303661cfe91c6db9fa71bdd56
|
[
"MIT"
] | null | null | null |
ex46.py
|
cohadar/learn-python-the-hard-way
|
10d88fe59a8abc5303661cfe91c6db9fa71bdd56
|
[
"MIT"
] | null | null | null |
# hmmm, had some problems with nose, but figured it out
| 55
| 55
| 0.763636
| 10
| 55
| 4.2
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.181818
| 55
| 1
| 55
| 55
| 0.933333
| 0.963636
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 0
| 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
| 4
|
6903efb5c64bc9da846f1dbb18e9c7b2e41c9de6
| 140
|
py
|
Python
|
source/cli/metacallcli/test/cli-test-main.py
|
gargakshit/core
|
84868a3e3151088c68520f9db9235e03c0ac0d11
|
[
"Apache-2.0"
] | 928
|
2018-12-26T22:40:59.000Z
|
2022-03-31T12:17:43.000Z
|
source/cli/metacallcli/test/cli-test-main.py
|
gargakshit/core
|
84868a3e3151088c68520f9db9235e03c0ac0d11
|
[
"Apache-2.0"
] | 132
|
2019-03-01T21:01:17.000Z
|
2022-03-17T09:00:42.000Z
|
source/cli/metacallcli/test/cli-test-main.py
|
gargakshit/core
|
84868a3e3151088c68520f9db9235e03c0ac0d11
|
[
"Apache-2.0"
] | 112
|
2019-01-15T09:36:11.000Z
|
2022-03-12T06:39:01.000Z
|
# This test verifies that __name__ == "__main__" works properly in Python Loader
if __name__ == "__main__":
print('Test: 1234567890abcd')
| 28
| 80
| 0.742857
| 17
| 140
| 5.176471
| 0.823529
| 0.181818
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.084034
| 0.15
| 140
| 4
| 81
| 35
| 0.655462
| 0.557143
| 0
| 0
| 0
| 0
| 0.466667
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0
| 0
| 0
| 0.5
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
|
0
| 4
|
694abe27bd60e4d0ef5ea591b51156e68a2c3567
| 34,656
|
py
|
Python
|
satori_api.py
|
drorgarti/SatoriLab
|
6e57bad2c01d6ee8baa97f915abc001bed974785
|
[
"MIT"
] | 1
|
2019-06-12T09:02:34.000Z
|
2019-06-12T09:02:34.000Z
|
satori_api.py
|
drorgarti/SatoriLab
|
6e57bad2c01d6ee8baa97f915abc001bed974785
|
[
"MIT"
] | null | null | null |
satori_api.py
|
drorgarti/SatoriLab
|
6e57bad2c01d6ee8baa97f915abc001bed974785
|
[
"MIT"
] | null | null | null |
import traceback
import os
import uuid
from flask import Flask, request, json
from flasgger import Swagger
from nameko.standalone.rpc import ClusterRpcProxy
from SatoriConfig import GeneralConfig
from entities.acurerate_attributes import P, C
from store.store import Store
from enrichment.enrichment_service import EnrichmentData, EnrichmentBehavior, EnrichmentSource
from enrichment.enrichment_service import EnrichmentService
from importer.csv_contacts_importer import CSVContactsImporter
from utils.acurerate_utils import AcureRateUtils
app = Flask(__name__)
Swagger(app)
@app.route('/api/person/properties', methods=['GET'])
def person_properties_by_email():
"""
Get a person properties by email
This endpoint returns all properties of a person by a given EMAIL in a key/value fashion
---
tags:
- person
parameters:
- name: email
in: query
type: string
description: email of person
required: true
responses:
200:
description: A single user item
schema:
properties:
property-1:
type: string
description: A property
default: 'value-1'
property-2:
type: string
description: A property
default: 'value-2'
property-N:
type: string
description: A property
default: 'value-N'
400:
description: Bad request. Missing/wrong parameter.
404:
description: Person not found
"""
email = request.args.get('email', None)
if email is None:
return 'No email provided', 400
person = Store.get_person({"email": email})
if person is None:
return 'Person with email %s not found' % email, 404
data = person.get_properties()
data['aid'] = person.aid
response = app.response_class(
response=json.dumps(data),
status=200,
mimetype='application/json'
)
return response
@app.route('/api/person/relations', methods=['GET'])
def person_relations_by_email():
"""
Get a person relations by email
This endpoint returns all properties of a person by a given EMAIL in a key/value fashion
---
tags:
- person
parameters:
- name: email
in: query
type: string
description: email of person
required: true
- name: filter
in: query
type: string
description: relation type to use as filter (case-insensitive)
responses:
200:
description: A single user item
schema:
properties:
property-1:
type: string
description: A property
default: 'value-1'
property-2:
type: string
description: A property
default: 'value-2'
property-N:
type: string
description: A property
default: 'value-N'
400:
description: Bad request. Missing/wrong parameter.
404:
description: Person not found
"""
email = request.args.get('email', None)
if email is None:
return 'No email provided', 400
person = Store.get_person({"email": email})
if person is None:
return 'Person with email %s not found' % email, 404
filter = request.args.get('filter', None)
relations = person.get_relations(filter)
data = []
for source_aid, relation_type, target_aid, relation_properties in relations:
# TODO: move relation_properties from string to array
data_element = {'relation_type': relation_type, 'relation_properties': relation_properties,
'source_id': source_aid, 'target_id': target_aid}
data.append(data_element)
response = app.response_class(
response=json.dumps(data),
status=200,
mimetype='application/json'
)
return response
@app.route('/api/person/<string:person_id>/properties', methods=['GET'])
def person_properties_by_id(person_id):
"""
Get a person properties by ID
This endpoint returns all properties of a person by a given ID in a key/value fashion
---
tags:
- person
parameters:
- name: person_id
in: path
type: string
description: id of person
required: true
responses:
200:
description: A single user item
schema:
properties:
property-1:
type: string
description: A property
default: 'value-1'
property-2:
type: string
description: A property
default: 'value-2'
property-N:
type: string
description: A property
default: 'value-N'
400:
description: Bad request
404:
description: Person not found
"""
if len(person_id) == 0:
return 'Missing person id', 400
person = Store.get_person_by_aid(person_id)
if person is None:
return 'Person with id %s not found' % person_id, 404
data = person.get_properties()
response = app.response_class(
response=json.dumps(data),
status=200,
mimetype='application/json'
)
return response
@app.route('/api/person/<string:person_id>/relations', methods=['GET'])
def person_relations_by_id(person_id):
"""
Get a person relations by ID
This endpoint returns all relations of a person by a given ID in a list format
---
tags:
- person
parameters:
- name: person_id
in: path
type: string
description: id of person
required: true
responses:
200:
description: Returns a list of relations
schema:
type: array
items:
properties:
source_id:
type: string
description: The source id of the relation
relation_type:
type: string
description: The type of the relation (e.g. EMPLOYEE_OF, TWITTER_FRIEND, etc.)
target_id:
type: string
description: The target id of the relation
reltion_properties:
type: string
description: String with comma-separated key:value properties of this relation
400:
description: Bad request
404:
description: Person not found
"""
person = Store.get_person_by_aid(person_id)
if person is None:
return 'Person with id %s not found' % person_id, 404
relations = person.get_relations()
data = []
for source_aid, relation_type, target_aid, relation_properties in relations:
# TODO: move relation_properties from string to array
data_element = {'relation_type': relation_type, 'relation_properties': relation_properties,
'source_id': source_aid, 'target_id': target_aid}
data.append(data_element)
response = app.response_class(
response=json.dumps(data),
status=200,
mimetype='application/json'
)
return response
# return jsonify(data)
@app.route('/api/company/properties', methods=['GET'])
def company_properties_by_domain():
"""
Get a company properties by DOMAIN
This endpoint returns all properties of a company by a given DOMAIN in a key/value fashion
---
tags:
- company
parameters:
- name: domain
in: query
type: string
description: domain of a company
required: true
responses:
200:
description: A single company item
schema:
properties:
property-1:
type: string
description: A property
default: 'value-1'
property-2:
type: string
description: A property
default: 'value-2'
property-N:
type: string
description: A property
default: 'value-N'
400:
description: Bad request. Missing/wrong parameter.
404:
description: Company not found
"""
domain = request.args.get('domain', None)
if domain is None:
return 'No domain provided', 400
company = Store.get_company({"domain": domain})
if company is None:
return 'No company with domain %s found' % domain, 404
data = company.get_properties()
data['aid'] = company.aid
response = app.response_class(
response=json.dumps(data),
status=200,
mimetype='application/json'
)
return response
@app.route('/api/company/relations', methods=['GET'])
def company_relations_by_domain():
"""
Get a company relations by DOMAIN
This endpoint returns all properties of a company by a given DOMAIN in a key/value fashion
---
tags:
- company
parameters:
- name: domain
in: query
type: string
description: domain of a company
required: true
- name: filter
in: query
type: string
description: relation type to use as filter (case-insensitive)
responses:
200:
description: A single company item
schema:
properties:
property-1:
type: string
description: A property
default: 'value-1'
property-2:
type: string
description: A property
default: 'value-2'
property-N:
type: string
description: A property
default: 'value-N'
400:
description: Bad request. Missing/wrong parameter.
404:
description: Company not found
"""
domain = request.args.get('domain', None)
if domain is None:
return 'No domain provided. Mandatory parameter', 400
company = Store.get_company({"domain": domain})
if company is None:
return 'No company with domain %s found' % domain, 404
filter = request.args.get('filter', None)
data = company.get_relations(filter)
response = app.response_class(
response=json.dumps(data),
status=200,
mimetype='application/json'
)
return response
@app.route('/api/company/<string:company_id>/properties', methods=['GET'])
def company_properties_by_id(company_id):
"""
Get a company properties by ID
This endpoint returns all properties of a company by a given ID in a key/value fashion
---
tags:
- company
parameters:
- name: company_id
in: path
type: string
description: id of company
required: true
responses:
200:
description: A single company item
schema:
properties:
property-1:
type: string
description: A property
default: 'value-1'
property-2:
type: string
description: A property
default: 'value-2'
property-N:
type: string
description: A property
default: 'value-N'
404:
description: Company not found
"""
company = Store.get_company_by_aid(company_id)
if company is None:
return 'Company with id %s not found' % company_id, 404
data = company.get_properties()
response = app.response_class(
response=json.dumps(data),
status=200,
mimetype='application/json'
)
return response
@app.route('/api/company/<string:company_id>/relations', methods=['GET'])
def company_relations_by_id(company_id):
"""
Get a company relations by ID
This endpoint returns all relations of a company by a given ID in a list format. Can be filtered.
---
tags:
- company
parameters:
- name: company_id
in: path
type: string
description: id of company
required: true
responses:
200:
description: Returns a list of relations
schema:
type: array
items:
properties:
source_id:
type: string
description: The source id of the relation
relation_type:
type: string
description: The type of the relation (e.g. EMPLOYEE_OF, TWITTER_FRIEND, etc.)
target_id:
type: string
description: The target id of the relation
reltion_properties:
type: string
description: String with comma-separated key:value properties of this relation
"""
company = Store.get_company_by_aid(company_id)
if company is None:
return 'Company with id %s not found' % company_id, 404
relations = company.get_relations()
data = []
for source_aid, relation_type, target_aid, relation_properties in relations:
# TODO: move relation_properties from string to array
data_element = {'relation_type': relation_type, 'relation_properties': relation_properties,
'source_id': source_aid, 'target_id': target_aid}
data.append(data_element)
response = app.response_class(
response=json.dumps(data),
status=200,
mimetype='application/json'
)
return response
#@app.route('/api/compute2', methods=['POST'])
def compute():
"""
Micro Service Based Compute and Mail API
This API is made with Flask, Flasgger and Nameko
---
parameters:
- name: body
in: body
required: true
schema:
id: data
properties:
operation:
type: string
enum:
- sum
- mul
- sub
- div
email:
type: string
value:
type: integer
other:
type: integer
responses:
200:
description: Please wait the calculation, you'll receive an email with results
"""
operation = request.json.get('operation')
value = request.json.get('value')
other = request.json.get('other')
email = request.json.get('email')
msg = "Please wait the calculation, you'll receive an email with results"
subject = "API Notification"
with ClusterRpcProxy(GeneralConfig.AMQP_CONFIG) as rpc:
# asynchronously spawning and email notification
rpc.mail.send.async(email, subject, msg)
# asynchronously spawning the compute task
result = rpc.compute.compute.async(operation, value, other, email)
return msg, 200
#@app.route('/api/circles/circle_list', methods=['GET'])
def circles_people():
"""
Get a list of circles the person is part of (by IDs)
This endpoint returns all circles of a person
---
tags:
- circles
parameters:
- name: person_id
in: query
type: string
description: source id of path
responses:
200:
description: A list of circles of a person
schema:
id: return_test
properties:
props:
type: string
description: The test
default: 'test'
result:
type: string
description: The test
default: 'test'
"""
# @@@
person_id = request.json.get('person_id')
print('Get circle list of person %s' % person_id)
circles = Store.get_circles(person_id)
@app.route('/api/paths/person_to_person', methods=['GET'])
def person_to_person():
"""
Get a paths from source person to target person (by IDs)
This endpoint returns all paths leading from source person to target company via a referral
---
tags:
- paths
parameters:
- name: source_id
in: query
type: string
description: source id of path
- name: target_id
in: query
type: string
description: target id of path
responses:
200:
description: A list of paths sorted by strength. Each path contains array of segments. Each segment is made of [seg-start, relation-type, seg-end]
schema:
type: array
items:
properties:
source_id:
type: string
description: The source id of the relation
relation_type:
type: string
description: The type of the relation (e.g. EMPLOYEE_OF, TWITTER_FRIEND, etc.)
target_id:
type: string
description: The target id of the relation
"""
# Get source/target ids from request
source_id = request.args.get('source_id', None)
if source_id is None:
return 'Missing source id parameter', 400
target_id = request.args.get('target_id', None)
if target_id is None:
return 'Missing target id parameter', 400
# Check that source/target exist
if Store.get_person_by_aid(source_id) is None:
return 'No person matching source id', 400
if Store.get_person_by_aid(target_id) is None:
return 'No person matching target id', 400
try:
paths = Store.get_paths_to_person(source_id, target_id)
except Exception as e:
tb = traceback.format_exc()
return 'Exception %s raised trying to get path. %s' % (e, tb), 500
# Return the paths as json with code 200
response = app.response_class(
response=json.dumps(paths),
status=200,
mimetype='application/json'
)
return response
@app.route('/api/paths/person_to_company', methods=['GET'])
def person_to_company():
"""
Get a paths from source person to target company (by IDs)
This endpoint returns all paths leading from source person to target company via a referral
---
tags:
- paths
parameters:
- name: source_id
in: query
type: string
description: source id of path
- name: target_id
in: query
type: string
description: target id of path
- name: seniority
in: query
type: string
enum:
- C-Level
- Senior
- Not Senior
description: Level of seniority of people leading to company
- name: area
in: query
type: string
enum:
- Board
- G&A
- Communications
- Consulting
- Customer Service
- Education
- Engineering
- Finance
- Health Professional
- Human Resources
- Information Technology
- Legal
- Marketing
- Operations
- Product
- Public Relations
- Real Estate
- Recruiting
- Research
- Sales
- Business Development
description: area of people we want to reach in target company
responses:
200:
description: A list of paths sorted by strength. Each path contains array of segments. Each segment is made of [seg-start, relation-type, seg-end]
schema:
type: array
items:
properties:
source_id:
type: string
description: The source id of the relation
relation_type:
type: string
description: The type of the relation (e.g. EMPLOYEE_OF, TWITTER_FRIEND, etc.)
target_id:
type: string
description: The target id of the relation
"""
# Get source/target ids from request
source_id = request.args.get('source_id', None)
if source_id is None:
return 'Missing source id parameter', 400
target_id = request.args.get('target_id', None)
if target_id is None:
return 'Missing target id parameter', 400
# Check that source/target exist
if Store.get_person_by_aid(source_id) is None:
return 'No person matching source id', 400
if Store.get_company_by_aid(target_id) is None:
return 'No company matching target id', 400
# Extract seniority/area filters
seniority = request.args.get('seniority', None)
area = request.args.get('area', None)
try:
# TODO: instead of 'seniority' & 'area', we may have here a generic k/v property filter
paths = Store.get_paths_to_company(source_id, target_id, seniority, area)
except Exception as e:
tb = traceback.format_exc()
return 'Exception %s raised trying to get path. %s' % (e, tb), 500
# Return the paths as json with code 200
response = app.response_class(
response=json.dumps(paths),
status=200,
mimetype='application/json'
)
return response
@app.route('/api/enrichment/providers', methods=['GET'])
def get_providers():
"""
Get list of providers available in enrichment service
This endpoint returns list of provider names
---
tags:
- enrichment
responses:
200:
description: A list of provider names registered to enrichment service
schema:
type: array
items:
type: string
default: "provider-name"
"""
es = EnrichmentService.singleton()
data = es.get_providers()
response = app.response_class(
response=json.dumps(data),
status=200,
mimetype='application/json'
)
return response
@app.route('/api/enrichment/provider_info', methods=['GET'])
def get_provider_info():
"""
Get provider information
This endpoint returns list of properties which are the provider information
---
tags:
- enrichment
parameters:
- name: provider_name
in: query
type: string
description: Name of provider to get information on
responses:
200:
description: A list of properties on provider
schema:
properties:
property-1:
type: string
description: A property
default: 'value-1'
property-2:
type: string
description: A property
default: 'value-2'
property-N:
type: string
description: A property
default: 'value-N'
404:
description: Provider not found
"""
provider_name = request.args.get('provider_name', None)
if provider_name is None:
return 'Missing provider name parameter', 400
es = EnrichmentService.singleton()
data = es.get_provider_info(provider_name)
if data is None:
return 'Provider %s not found' % provider_name, 404
response = app.response_class(
response=json.dumps(data),
status=200,
mimetype='application/json'
)
return response
@app.route('/api/enrichment/person', methods=['POST'])
def enrich_person_by_key():
"""
Enrich a person by key
Provide Key, Data and Behavior for the enrichment process.
---
tags:
- enrichment
parameters:
- name: body
in: body
required: true
schema:
id: data
properties:
key:
properties:
email:
type: string
default: 'email@domain.com'
data:
properties:
first_name:
type: string
last_name:
type: string
email:
type: string
default: 'email@domain.com'
behavior:
properties:
providers:
type: array
items:
type: string
default: "FullContact"
description: List of providers
all_providers:
type: boolean
default: false
digest:
type: boolean
default: true
enrich_multiple:
type: boolean
default: false
create_new:
type: boolean
default: false
force_save:
type: boolean
default: false
webhook:
type: string
default: "http://requestb.in/zcr79czc"
responses:
200:
description: Enrichment started. If webhook provided, wait on it for results
400:
description: Bad request
404:
description: Person not found (Behavior::Create_New = False)
"""
the_key = request.json.get('key')
the_data = request.json.get('data', None)
the_behavior = request.json.get('behavior')
msg = "Enrichment process started. "
if 'webhook' in the_behavior:
msg += 'Wait on webhook %s for results.' % the_behavior['webhook']
else:
msg += '(no webhook defined)'
# Check providers validity
es = EnrichmentService.singleton()
providers_list = es.get_providers()
for p in the_behavior.get('providers', []):
if p not in providers_list:
return 'Unknown provider (%s). Aborting enrichment.' % p, 400
# Prepare the behavior
eb = EnrichmentBehavior().from_dictionary(the_behavior)
# Prepare the enrich-data
if the_data:
ed = []
for k, v in the_data.items():
ed.append(EnrichmentData(k, v, 'override'))
else:
ed = None
# Prepare the enrich-source
# TODO: complete this...
the_source = EnrichmentSource('CIA', 'SecretKey')
# Initialize Enrichment Service
es = EnrichmentService.singleton()
es.enrich_person(enrichment_key=the_key, enrichment_data=ed, enrichment_source=the_source, enrichment_behavior=eb)
subject = "API Notification"
# with ClusterRpcProxy(GeneralConfig.AMQP_CONFIG) as rpc:
# # asynchronously spawning and email notification
# rpc.mail.send.async(email, subject, msg)
# # asynchronously spawning the compute task
# result = rpc.compute.compute.async(operation, value, other, email)
# return msg, 200
return msg, 200
@app.route('/api/enrichment/company', methods=['POST'])
def enrich_company_by_key():
"""
Enrich a company by Key
Provide Key, Data and Behavior for the enrichment process.
---
tags:
- enrichment
parameters:
- name: body
in: body
required: true
schema:
id: data
properties:
key:
properties:
domain:
type: string
default: 'domain.com'
data:
properties:
alias:
type: string
default: 'another-company-name'
founding_year:
type: string
default: '2010'
behavior:
properties:
providers:
type: array
items:
type: string
default: "FullContact"
description: List of providers
all_providers:
type: boolean
default: false
digest:
type: boolean
default: true
enrich_multiple:
type: boolean
default: false
create_new:
type: boolean
default: false
force_save:
type: boolean
default: false
webhook:
type: string
default: http://requestb.in/zcr79czc
responses:
200:
description: Enrichment started. If webhook provided, wait on it for results
400:
description: Bad request
404:
description: Company not found (Behavior::Create_New = False)
"""
the_key = request.json.get('key')
the_data = request.json.get('data', None)
the_behavior = request.json.get('behavior')
msg = "Enrichment process started. "
if 'webhook' in the_behavior:
msg += 'Wait on webhook %s for results.' % the_behavior['webhook']
else:
msg += '(no webhook defined)'
# Check providers validity
es = EnrichmentService.singleton()
providers_list = es.get_providers()
for p in the_behavior.get('providers', []):
if p not in providers_list:
return 'Unknown provider (%s). Aborting enrichment.' % p, 400
eb = EnrichmentBehavior().from_dictionary(the_behavior)
#eb.from_dictionary(the_behavior)
if the_data:
ed = []
for k, v in the_data.items():
ed.append(EnrichmentData(k, v, 'override'))
else:
ed = None
# TODO: complete this...
the_source = EnrichmentSource('CIA', 'SecretKey')
# Initialize Enrichment Service
es = EnrichmentService.singleton()
es.enrich_company(enrichment_key=the_key, enrichment_data=ed, enrichment_source=the_source, enrichment_behavior=eb)
subject = "API Notification"
# with ClusterRpcProxy(GeneralConfig.AMQP_CONFIG) as rpc:
# # asynchronously spawning and email notification
# rpc.mail.send.async(email, subject, msg)
# # asynchronously spawning the compute task
# result = rpc.compute.compute.async(operation, value, other, email)
# return msg, 200
return msg, 200
@app.route('/api/importer/import_contacts', methods=['POST'])
def import_contacts():
"""
Import contacts from file
Provide path to file, encoding and contacts are imported and enriched
---
tags:
- importer
consumes:
- application/x-www-form-urlencoded
- multipart/form-data
- application/json
produces:
- application/x-www-form-urlencoded
- multipart/form-data
parameters:
- name: contacts_file
in: formData
type: file
required: true
- name: user_id
in: formData
type: string
required: true
- name: encoding
in: formData
type: string
required: true
default: "utf-8"
- name: test_mode
in: formData
type: boolean
required: true
default: true
responses:
200:
description: Please wait the calculation, you'll receive an email with results
"""
user_id = request.form.get('user_id', None)
if user_id is None:
return 'Missing user_id in form parameters', 400
encoding = request.form.get('encoding', None)
if encoding is None:
return 'Missing encoding in form parameters', 400
test_mode = request.form.get('test_mode', None)
if test_mode is None:
return 'Missing test_mode in form parameters', 400
else:
test_mode = test_mode in ['True', 'true']
try:
file = request.files['contacts_file']
extension = os.path.splitext(file.filename)[1]
if extension != '.csv':
return 'Not a CSV file. Contacts not uploaded', 400
f_name = str(uuid.uuid4()) + extension
upload_folder = GeneralConfig.UPLOAD_FOLDER
file.save(os.path.join(upload_folder, f_name))
contacts_file_json = json.dumps({'filename': f_name})
except Exception as e:
return 'Failed to upload contacts file. Server error: %s' % e, 500
# Check if user is in DB and has full name
user_person = Store.get_person_by_aid(user_id)
if user_person is None:
return 'Person with id %s not found. Import aborted.' % user_id, 400
if P.FULL_NAME not in user_person.deduced:
return 'Person with id %s has no full-name property. Import aborted.' % user_id, 400
contacts_file_name = '%s\%s' % (GeneralConfig.UPLOAD_FOLDER, f_name)
print('test_mode = %s, type(test_mode) = %s' % (test_mode, type(test_mode)))
ci = CSVContactsImporter(path=contacts_file_name,
encoding=encoding,
source="GoogleContacts",
attribution_id=user_person.aid,
attribution_name=user_person.deduced[P.FULL_NAME],
mapping=CSVContactsImporter.google_mapping2,
test_import=test_mode)
# TODO: have this done async
ci.import_now()
return 'Contacts imported successfully', 200
@app.route('/api/importer/import_companies', methods=['POST'])
def import_companies():
"""
Import companies from file
Provide path to file, encoding and contacts are imported and enriched
---
tags:
- importer
parameters:
- name: contacts_file
in: formData
required: true
type: file
consumes: multipart/form-data
- name: body
in: body
required: true
schema:
id: data
properties:
user_id:
type: string
required: true
encoding:
type: string
default: "utf-8"
test_mode:
type: boolean
default: true
responses:
200:
description: Please wait the calculation, you'll receive an email with results
"""
file_uri = request.json.get('file_uri', None)
encoding = request.json.get('encoding', 'utf-8')
user_id = request.json.get('user_id')
test_mode = request.json.get('test_mode')
# Check if user is in DB, get his name
# TODO: implement
# contacts_file_name = r"C:\temp\AcureRate\Contact Files\%s-google_contacts_export_utf8.csv" % file_prefix
# ci = CSVContactsImporter(path=contacts_file_name,
# encoding="utf-8",
# source="GoogleContacts",
# attribution_id=person_user.aid,
# attribution_name=full_name,
# mapping=CSVContactsImporter.google_mapping2,
# test_import=False)
# TODO: have this done async
# ci.import_now()
return 'Contacts imported succesfully', 200
app.run(debug=True)
| 30.560847
| 154
| 0.577505
| 3,801
| 34,656
| 5.166272
| 0.094449
| 0.037175
| 0.056679
| 0.023527
| 0.778683
| 0.748689
| 0.719153
| 0.681978
| 0.664256
| 0.656363
| 0
| 0.014055
| 0.343057
| 34,656
| 1,134
| 155
| 30.560847
| 0.848465
| 0.062615
| 0
| 0.580838
| 0
| 0
| 0.192971
| 0.033156
| 0
| 0
| 0
| 0.007055
| 0
| 0
| null | null | 0
| 0.07485
| null | null | 0.005988
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 0
| 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
| 4
|
69541105de04fb83438f794e27e4118700f3e353
| 1,000
|
py
|
Python
|
tests/schema/product/gql/fragments/__init__.py
|
simonsobs/acondbs
|
6ca11c2889d827ecdb2b54d0cf3b94b8cdd281e6
|
[
"MIT"
] | null | null | null |
tests/schema/product/gql/fragments/__init__.py
|
simonsobs/acondbs
|
6ca11c2889d827ecdb2b54d0cf3b94b8cdd281e6
|
[
"MIT"
] | 24
|
2020-04-02T19:29:07.000Z
|
2022-03-08T03:05:43.000Z
|
tests/schema/product/gql/fragments/__init__.py
|
simonsobs/acondbs
|
6ca11c2889d827ecdb2b54d0cf3b94b8cdd281e6
|
[
"MIT"
] | 1
|
2020-04-08T15:48:28.000Z
|
2020-04-08T15:48:28.000Z
|
from .fragment_field import FRAGMENT_FIELD # noqa: F401
from .fragment_field_connection import FRAGMENT_FIELD_CONNECTION # noqa: F401
from .fragment_product import FRAGMENT_PRODUCT # noqa: F401
from .fragment_product_shallow import FRAGMENT_PRODUCT_SHALLOW # noqa: F401
from .fragment_product_connection import FRAGMENT_PRODUCT_CONNECTION # noqa: F401
from .fragment_product_connection_shallow import FRAGMENT_PRODUCT_CONNECTION_SHALLOW # noqa: F401
from .fragment_product_relation_type import FRAGMENT_PRODUCT_RELATION_TYPE # noqa: F401
from .fragment_product_relation_type_connection import FRAGMENT_PRODUCT_RELATION_TYPE_CONNECTION # noqa: F401
from .fragment_product_relation import FRAGMENT_PRODUCT_RELATION # noqa: F401
from .fragment_product_relation_connection import FRAGMENT_PRODUCT_RELATION_CONNECTION # noqa: F401
from .fragment_product_type import FRAGMENT_PRODUCT_TYPE # noqa: F401
from .fragment_product_type_connection import FRAGMENT_PRODUCT_TYPE_CONNECTION # noqa: F401
| 76.923077
| 110
| 0.868
| 128
| 1,000
| 6.34375
| 0.085938
| 0.369458
| 0.162562
| 0.270936
| 0.667488
| 0.45936
| 0.096059
| 0
| 0
| 0
| 0
| 0.039823
| 0.096
| 1,000
| 12
| 111
| 83.333333
| 0.858407
| 0.131
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
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| 1
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| 0
| 0
| 0
| null | 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
6956fa7b94f9dea795052d52d18887c5d22ba89f
| 7,094
|
py
|
Python
|
tests/test_to_commonmark.py
|
andersjel/paka.cmark
|
366d7bbc976ef07876404b1d07a2c573cd256aa3
|
[
"BSD-3-Clause"
] | null | null | null |
tests/test_to_commonmark.py
|
andersjel/paka.cmark
|
366d7bbc976ef07876404b1d07a2c573cd256aa3
|
[
"BSD-3-Clause"
] | null | null | null |
tests/test_to_commonmark.py
|
andersjel/paka.cmark
|
366d7bbc976ef07876404b1d07a2c573cd256aa3
|
[
"BSD-3-Clause"
] | 1
|
2021-04-10T03:54:28.000Z
|
2021-04-10T03:54:28.000Z
|
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
import unittest
class ToCommonMarkTest(unittest.TestCase):
SAMPLE = (
"My humble mentoring experience tells me something about learning "
"programming. For complete beginners, it may be easier to learn "
"some kind of Lisp, and then transition to Python for more “real "
"world” code.\nOf course, various Lisps are used in production in "
"various companies in various projects, but Python is just more "
"popular.\n\nOne mentoree really understood object-oriented "
"programming (OOP) only after learning it with Racket, which is "
"usually characterized as “dialect of Scheme” (functional "
"language).\nMaybe it has something to do with syntax not getting "
"on beginner’s way :)\n\nПроверка---\"test\" -- test.")
def setUp(self):
from paka.cmark import LineBreaks, to_commonmark
self.func = to_commonmark
self.line_breaks = LineBreaks
def check(self, source, expected, **kwargs):
self.assertEqual(self.func(source, **kwargs), expected)
def test_empty(self):
self.check("", "\n")
def test_newline(self):
self.check("\n", "\n")
def test_escape(self):
self.check("Hello, Noob!\n", "Hello, Noob\\!\n")
def test_list(self):
self.check(" * a\n * b\n", " - a\n - b\n")
def test_no_breaks_and_width(self):
expected = (
"My humble mentoring experience tells me something about "
"learning programming. For complete beginners, it may be easier "
"to learn some kind of Lisp, and then transition to Python for "
"more “real world” code. Of course, various Lisps are used in "
"production in various companies in various projects, but Python "
"is just more popular.\n\nOne mentoree really understood "
"object-oriented programming (OOP) only after learning it with "
"Racket, which is usually characterized as “dialect of Scheme” "
"(functional language). Maybe it has something to do with syntax "
"not getting on beginner’s way :)\n\nПроверка---\"test\" -- "
"test.\n")
self.check(self.SAMPLE, expected)
self.check(self.SAMPLE, expected, breaks=False)
self.check(self.SAMPLE, expected, breaks=False, width=0)
self.check(self.SAMPLE, expected, breaks=False, width=7)
def test_hard_breaks_and_width(self):
expected = (
"My humble mentoring experience tells me something about "
"learning programming. For complete beginners, it may be easier "
"to learn some kind of Lisp, and then transition to Python for "
"more “real world” code. \nOf course, various Lisps are used "
"in production in various companies in various projects, but "
"Python is just more popular.\n\nOne mentoree really understood "
"object-oriented programming (OOP) only after learning it with "
"Racket, which is usually characterized as “dialect of Scheme” "
"(functional language). \nMaybe it has something to do with "
"syntax not getting on beginner’s way :)\n\nПроверка---\"test\" "
"-- test.\n")
self.check(self.SAMPLE, expected, breaks="hard")
self.check(self.SAMPLE, expected, breaks=self.line_breaks.hard)
self.check(
self.SAMPLE, expected, breaks=self.line_breaks.hard, width=0)
self.check(
self.SAMPLE, expected, breaks=self.line_breaks.hard, width=7)
def test_soft_breaks_and_zero_width(self):
expected = (
"My humble mentoring experience tells me something about "
"learning programming. For complete beginners, it may be easier "
"to learn some kind of Lisp, and then transition to Python for "
"more “real world” code.\nOf course, various Lisps are used in "
"production in various companies in various projects, but "
"Python is just more popular.\n\nOne mentoree really understood "
"object-oriented programming (OOP) only after learning it with "
"Racket, which is usually characterized as “dialect of Scheme” "
"(functional language).\nMaybe it has something to do with "
"syntax not getting on beginner’s way :)\n\nПроверка---\"test\" "
"-- test.\n")
self.check(self.SAMPLE, expected, breaks=True)
self.check(self.SAMPLE, expected, breaks="soft")
self.check(self.SAMPLE, expected, breaks=self.line_breaks.soft)
self.check(self.SAMPLE, expected, breaks=True, width=0)
def test_soft_breaks_and_non_zero_width(self):
expected = (
"My\nhumble\nmentoring\nexperience\ntells\nme\nsomething\n"
"about\nlearning\nprogramming.\nFor\ncomplete\nbeginners,"
"\nit may\nbe\neasier\nto\nlearn\nsome\nkind of\nLisp,"
"\nand\nthen\ntransition\nto\nPython\nfor\nmore\n“real\n"
"world”\ncode.\nOf\ncourse,\nvarious\nLisps\nare\nused in\n"
"production\nin\nvarious\ncompanies\nin\nvarious\n"
"projects,\nbut\nPython\nis just\nmore\npopular.\n\n"
"One\nmentoree\nreally\nunderstood\nobject-oriented\n"
"programming\n(OOP)\nonly\nafter\nlearning\nit with"
"\nRacket,\nwhich\nis\nusually\ncharacterized\nas\n"
"“dialect\nof\nScheme”\n(functional\nlanguage).\n"
"Maybe\nit has\nsomething\nto do\nwith\nsyntax\nnot"
"\ngetting\non\nbeginner’s\nway\n:)\n\nПроверка---\"test\"\n"
"--\ntest.\n")
width = 7
self.check(self.SAMPLE, expected, breaks=True, width=width)
self.check(self.SAMPLE, expected, breaks="soft", width=width)
self.check(
self.SAMPLE, expected, breaks=self.line_breaks.soft, width=width)
def test_no_breaks_and_smart(self):
expected = (
"My humble mentoring experience tells me something about "
"learning programming. For complete beginners, it may be easier "
"to learn some kind of Lisp, and then transition to Python for "
"more “real world” code. Of course, various Lisps are used in "
"production in various companies in various projects, but Python "
"is just more popular.\n\nOne mentoree really understood "
"object-oriented programming (OOP) only after learning it with "
"Racket, which is usually characterized as “dialect of Scheme” "
"(functional language). Maybe it has something to do with syntax "
"not getting on beginner’s way :)\n\nПроверка—“test” – test.\n")
self.check(self.SAMPLE, expected, smart=True)
self.check(self.SAMPLE, expected, breaks=False, smart=True)
self.check(self.SAMPLE, expected, breaks=False, width=0, smart=True)
self.check(self.SAMPLE, expected, breaks=False, width=7, smart=True)
| 52.161765
| 78
| 0.639414
| 900
| 7,094
| 4.997778
| 0.203333
| 0.04602
| 0.054913
| 0.080258
| 0.771899
| 0.751
| 0.751
| 0.727657
| 0.695865
| 0.665407
| 0
| 0.001705
| 0.25585
| 7,094
| 135
| 79
| 52.548148
| 0.849972
| 0.00296
| 0
| 0.372881
| 0
| 0
| 0.540376
| 0.091218
| 0
| 0
| 0
| 0
| 0.008475
| 1
| 0.09322
| false
| 0
| 0.025424
| 0
| 0.135593
| 0
| 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
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
15daa9ffb7c9997c9e39f41bd5af43ff274ac521
| 57
|
py
|
Python
|
nsd1803/python/day03/call_star.py
|
MrWangwf/nsd1806
|
069e993b0bb64cb21adc2a25aa56f6da674453bc
|
[
"Apache-2.0"
] | null | null | null |
nsd1803/python/day03/call_star.py
|
MrWangwf/nsd1806
|
069e993b0bb64cb21adc2a25aa56f6da674453bc
|
[
"Apache-2.0"
] | null | null | null |
nsd1803/python/day03/call_star.py
|
MrWangwf/nsd1806
|
069e993b0bb64cb21adc2a25aa56f6da674453bc
|
[
"Apache-2.0"
] | null | null | null |
import star
star.pstar()
print(star.hi)
star.pstar(50)
| 8.142857
| 14
| 0.719298
| 10
| 57
| 4.1
| 0.6
| 0.439024
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.04
| 0.122807
| 57
| 6
| 15
| 9.5
| 0.78
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.25
| 0
| 0.25
| 0.25
| 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
| 0
| 0
|
0
| 4
|
15dacbb1649df7bde6a1bb01d96c60f6fd8a9a55
| 200
|
py
|
Python
|
app/main/__init__.py
|
josphat-mwangi/News-IP
|
e5e4c7aafb4831ba231db78819d50424e5f8dd7a
|
[
"Unlicense"
] | null | null | null |
app/main/__init__.py
|
josphat-mwangi/News-IP
|
e5e4c7aafb4831ba231db78819d50424e5f8dd7a
|
[
"Unlicense"
] | null | null | null |
app/main/__init__.py
|
josphat-mwangi/News-IP
|
e5e4c7aafb4831ba231db78819d50424e5f8dd7a
|
[
"Unlicense"
] | null | null | null |
# from newsapi import NewsApiClient
from flask import Blueprint
main = Blueprint('main', __name__)
# newsapi = NewsApiClient(api_key='fd3949e9fc8d439f8d810573dc948437')
from . import views, error
| 20
| 69
| 0.79
| 21
| 200
| 7.285714
| 0.619048
| 0.169935
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.126437
| 0.13
| 200
| 9
| 70
| 22.222222
| 0.752874
| 0.505
| 0
| 0
| 0
| 0
| 0.041667
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.666667
| 0
| 0.666667
| 0.666667
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
|
0
| 4
|
c6096610493bf83eeb1749328a501048bd342cd1
| 104
|
py
|
Python
|
flocker/common/test/__init__.py
|
stackriot/flocker
|
eaa586248986d7cd681c99c948546c2b507e44de
|
[
"Apache-2.0"
] | 2,690
|
2015-01-02T11:12:11.000Z
|
2022-03-15T15:41:51.000Z
|
flocker/common/test/__init__.py
|
stackriot/flocker
|
eaa586248986d7cd681c99c948546c2b507e44de
|
[
"Apache-2.0"
] | 2,102
|
2015-01-02T18:49:40.000Z
|
2021-01-21T18:49:47.000Z
|
flocker/common/test/__init__.py
|
stackriot/flocker
|
eaa586248986d7cd681c99c948546c2b507e44de
|
[
"Apache-2.0"
] | 333
|
2015-01-10T01:44:01.000Z
|
2022-03-08T15:03:04.000Z
|
# Copyright ClusterHQ Inc. See LICENSE file for details.
"""
Tests for shared flocker components.
"""
| 17.333333
| 57
| 0.730769
| 13
| 104
| 5.846154
| 0.923077
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.173077
| 104
| 5
| 58
| 20.8
| 0.883721
| 0.894231
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 0
| 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
| 4
|
d660ca506373cf8b21e5f0044f4af244321d1b59
| 505
|
py
|
Python
|
pygridlock/backend/layout/lattice.py
|
Giologic/pygridlock
|
f151667b35a14ecda2a1d32f61bbb0d92c8ef663
|
[
"MIT"
] | null | null | null |
pygridlock/backend/layout/lattice.py
|
Giologic/pygridlock
|
f151667b35a14ecda2a1d32f61bbb0d92c8ef663
|
[
"MIT"
] | null | null | null |
pygridlock/backend/layout/lattice.py
|
Giologic/pygridlock
|
f151667b35a14ecda2a1d32f61bbb0d92c8ef663
|
[
"MIT"
] | null | null | null |
# -*- coding: utf-8 -*-
"""
A Lattice Network Layout
This class implements a lattice network layout. In this layout, network stops are arranged in grid form.
"""
import abc
from .base import Layout
class Lattice(Layout):
def __init__(self, max_nodes, max_walking_dist, start_coords, **kwargs):
""" Initializes Lattice class """
super(Lattice, self).__init__()
# TODO : Logger
def generate_layout(self):
""" Generate Network Layout """
| 20.2
| 104
| 0.635644
| 60
| 505
| 5.133333
| 0.583333
| 0.126623
| 0.097403
| 0.136364
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.002667
| 0.257426
| 505
| 25
| 105
| 20.2
| 0.818667
| 0.433663
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.04
| 0
| 1
| 0.333333
| false
| 0
| 0.333333
| 0
| 0.833333
| 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
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
d674f846283e0999a2acf6c58eee5607fcb034e5
| 713
|
py
|
Python
|
robin_stocks/tda/__init__.py
|
qtcwt/robin_stocks
|
5672a2c3e16fb00ab46e03aa5894dce54adcb005
|
[
"MIT"
] | 1,339
|
2018-08-29T03:10:09.000Z
|
2022-03-31T15:54:58.000Z
|
robin_stocks/tda/__init__.py
|
qtcwt/robin_stocks
|
5672a2c3e16fb00ab46e03aa5894dce54adcb005
|
[
"MIT"
] | 290
|
2018-09-21T00:34:30.000Z
|
2022-03-25T02:30:51.000Z
|
robin_stocks/tda/__init__.py
|
qtcwt/robin_stocks
|
5672a2c3e16fb00ab46e03aa5894dce54adcb005
|
[
"MIT"
] | 419
|
2018-11-03T17:32:19.000Z
|
2022-03-27T04:37:48.000Z
|
from .accounts import (get_account, get_accounts, get_transaction,
get_transactions)
from .authentication import (generate_encryption_passcode, login,
login_first_time)
from .helper import (get_login_state, get_order_number, request_data,
request_delete, request_get, request_headers,
request_post)
from .markets import get_hours_for_market, get_hours_for_markets, get_movers
from .orders import (cancel_order, get_order, get_orders_for_account,
place_order)
from .stocks import (get_instrument, get_option_chains, get_price_history,
get_quote, get_quotes, search_instruments)
| 54.846154
| 76
| 0.69425
| 83
| 713
| 5.506024
| 0.493976
| 0.078775
| 0.04814
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.253857
| 713
| 12
| 77
| 59.416667
| 0.859023
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0.083333
| 0.5
| 0
| 0.5
| 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
| 0
| 1
| 1
| 1
| 0
| 0
| 0
|
0
| 4
|
d6785aefde7343e27c81e1f3f9b7a0fec39e76b8
| 1,534
|
py
|
Python
|
DailyProgrammer/DP20151209A.py
|
DayGitH/Python-Challenges
|
bc32f1332a92fcc2dfa6f5ea4d95f8a8d64c3edf
|
[
"MIT"
] | 2
|
2020-12-23T18:59:22.000Z
|
2021-04-14T13:16:09.000Z
|
DailyProgrammer/DP20151209A.py
|
DayGitH/Python-Challenges
|
bc32f1332a92fcc2dfa6f5ea4d95f8a8d64c3edf
|
[
"MIT"
] | null | null | null |
DailyProgrammer/DP20151209A.py
|
DayGitH/Python-Challenges
|
bc32f1332a92fcc2dfa6f5ea4d95f8a8d64c3edf
|
[
"MIT"
] | null | null | null |
"""
[2015-12-09] Challenge #244 [Easy]er - Array language (part 3) - J Forks
https://www.reddit.com/r/dailyprogrammer/comments/3wdm0w/20151209_challenge_244_easyer_array_language_part/
This challenge does not require doing the previous 2 parts. If you want something harder, the rank conjunction from
Wednesday's challenge requires concentration.
# Forks
A fork is a function that takes 3 functions that are all "duck defined" to take 2 parameters with 2nd optional or
ignorable.
for 3 functions, `f(y,x= default):` , `g(y,x= default):` , `h(y,x= default):` , where the function g is a "genuine" 2
parameter function,
the call `Fork(f,g,h)` executes the function composition:
g(f(y,x),h(y,x)) (data1,data2)
**1. Produce the string that makes the function call from string input:**
sum divide count
(above input are 3 function names to Fork)
**2. Native to your favorite language, create an executable function from above string input**
or 3. create a function that takes 3 functions as input, and returns a function.
Fork(sum, divide ,count) (array data)
should return the mean of that array. Where divide works similarly to add from Monday's challenge.
**4. Extend above functions to work for any odd number of function parameters**
for 5 parameters, Fork(a, b, c, d, e) is:
b(a, Fork(c,d,e)) NB. should expand this if producing strings.
# challenge input
(25 functions)
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
"""
def main():
pass
if __name__ == "__main__":
main()
| 41.459459
| 118
| 0.715124
| 267
| 1,534
| 4.05618
| 0.516854
| 0.009234
| 0.024931
| 0.033241
| 0.060942
| 0.051708
| 0
| 0
| 0
| 0
| 0
| 0.033844
| 0.191004
| 1,534
| 36
| 119
| 42.611111
| 0.83884
| 0.953064
| 0
| 0
| 0
| 0
| 0.125
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| true
| 0.25
| 0
| 0
| 0.25
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 0
| 0
| 0
|
0
| 4
|
d67df18ab232149749e352ebbfa893c211e7ce36
| 72
|
py
|
Python
|
test_hello.py
|
earslan74/pynet_class
|
0ed789ae82f221a249e7a1136a4f3f345f2a584a
|
[
"Apache-2.0"
] | null | null | null |
test_hello.py
|
earslan74/pynet_class
|
0ed789ae82f221a249e7a1136a4f3f345f2a584a
|
[
"Apache-2.0"
] | null | null | null |
test_hello.py
|
earslan74/pynet_class
|
0ed789ae82f221a249e7a1136a4f3f345f2a584a
|
[
"Apache-2.0"
] | null | null | null |
#!/usr/bin/env python
print "Hello World"
for i in "Hello":
print i
| 14.4
| 21
| 0.652778
| 13
| 72
| 3.615385
| 0.769231
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.208333
| 72
| 4
| 22
| 18
| 0.824561
| 0.277778
| 0
| 0
| 0
| 0
| 0.313725
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0
| null | null | 0.666667
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 1
|
0
| 4
|
d6b601df8716e310e57f3f7035d8323f02c922ec
| 63
|
py
|
Python
|
gunicorn/gunicorn.conf.py
|
Mastermind-U/baserest
|
d4802bdbabe0f0847f223035f10cce9a86cb6964
|
[
"CC0-1.0"
] | null | null | null |
gunicorn/gunicorn.conf.py
|
Mastermind-U/baserest
|
d4802bdbabe0f0847f223035f10cce9a86cb6964
|
[
"CC0-1.0"
] | 1
|
2019-12-18T21:26:51.000Z
|
2019-12-18T21:26:51.000Z
|
gunicorn/gunicorn.conf.py
|
Mastermind-U/baserest
|
d4802bdbabe0f0847f223035f10cce9a86cb6964
|
[
"CC0-1.0"
] | 1
|
2019-07-20T16:50:24.000Z
|
2019-07-20T16:50:24.000Z
|
bind = '127.0.0.1:8000'
workers = 3
user = 'web'
timeout = 120
| 12.6
| 23
| 0.619048
| 12
| 63
| 3.25
| 0.916667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.27451
| 0.190476
| 63
| 4
| 24
| 15.75
| 0.490196
| 0
| 0
| 0
| 0
| 0
| 0.269841
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 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
| 4
|
ba3ee915c2775bb60a5292e1e4bd1ea0eb8757ba
| 24
|
py
|
Python
|
openiti/__init__.py
|
OpenITI/oipy
|
71f8c560dfb5814c34f222be49b2ea5a436d5914
|
[
"MIT"
] | 8
|
2020-03-14T13:34:36.000Z
|
2021-11-24T09:02:27.000Z
|
openiti/__init__.py
|
OpenITI/oipy
|
71f8c560dfb5814c34f222be49b2ea5a436d5914
|
[
"MIT"
] | 1
|
2020-04-08T17:22:09.000Z
|
2020-04-11T08:49:19.000Z
|
openiti/__init__.py
|
OpenITI/oipy
|
71f8c560dfb5814c34f222be49b2ea5a436d5914
|
[
"MIT"
] | 3
|
2020-01-08T16:48:41.000Z
|
2021-07-09T06:30:03.000Z
|
__version__ = "0.1.5.4"
| 12
| 23
| 0.625
| 5
| 24
| 2.2
| 1
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.190476
| 0.125
| 24
| 1
| 24
| 24
| 0.333333
| 0
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| 0
| 0.291667
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
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| 0
| 0
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| 1
| 1
| 0
| null | 0
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| null | 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
ba40de10adc2780eb84e141e9ee7719fbb253a17
| 244
|
py
|
Python
|
tests/config.py
|
cschanot/Detectron2
|
fbbff22ea35a351ff924112b691a5086527778bf
|
[
"MIT"
] | 81
|
2019-12-04T12:49:03.000Z
|
2022-03-09T20:12:10.000Z
|
tests/config.py
|
cschanot/Detectron2
|
fbbff22ea35a351ff924112b691a5086527778bf
|
[
"MIT"
] | 82
|
2020-01-29T23:48:32.000Z
|
2021-09-08T02:09:30.000Z
|
tests/config.py
|
cschanot/Detectron2
|
fbbff22ea35a351ff924112b691a5086527778bf
|
[
"MIT"
] | 36
|
2019-12-06T08:51:31.000Z
|
2022-03-19T07:55:35.000Z
|
import os
MAIN_DIR = os.path.join(os.path.dirname(os.path.realpath(__file__)), "..")
ASSETS_DIR = os.path.join(MAIN_DIR, "assets")
ASSETS_IMAGES_DIR = os.path.join(ASSETS_DIR, "images")
ASSETS_VIDEOS_DIR = os.path.join(ASSETS_DIR, "videos")
| 27.111111
| 74
| 0.741803
| 40
| 244
| 4.2
| 0.3
| 0.214286
| 0.214286
| 0.309524
| 0.261905
| 0.261905
| 0
| 0
| 0
| 0
| 0
| 0
| 0.086066
| 244
| 8
| 75
| 30.5
| 0.753363
| 0
| 0
| 0
| 0
| 0
| 0.082305
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.2
| 0
| 0.2
| 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
| 0
| 0
| 0
| 0
|
0
| 4
|
ba57a4a67d18584bd5a5df8c7000d72da8873c9a
| 178
|
py
|
Python
|
tests/test_basic.py
|
marcbenedi/ldap-triggers
|
e1c445110e207cab57b459468671acc7ce713b0f
|
[
"MIT"
] | null | null | null |
tests/test_basic.py
|
marcbenedi/ldap-triggers
|
e1c445110e207cab57b459468671acc7ce713b0f
|
[
"MIT"
] | null | null | null |
tests/test_basic.py
|
marcbenedi/ldap-triggers
|
e1c445110e207cab57b459468671acc7ce713b0f
|
[
"MIT"
] | null | null | null |
import unittest
from .context import ldaptriggers
class BasicTestSuite(unittest.TestCase):
"""Basic test cases."""
def test_sample(self):
self.assertEqual(1,1)
| 19.777778
| 40
| 0.713483
| 21
| 178
| 6
| 0.761905
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.013699
| 0.179775
| 178
| 9
| 41
| 19.777778
| 0.849315
| 0.095506
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.2
| 1
| 0.2
| false
| 0
| 0.4
| 0
| 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
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
ba85a0d70ce4c9401913aec5e458145691b195e4
| 108
|
py
|
Python
|
Lib/test/autotest.py
|
1byte2bytes/cpython
|
7fbaeb819ca7b20dca048217ff585ec195e999ec
|
[
"Unlicense",
"TCL",
"DOC",
"AAL",
"X11"
] | 1
|
2019-10-25T21:41:07.000Z
|
2019-10-25T21:41:07.000Z
|
Lib/test/autotest.py
|
1byte2bytes/cpython
|
7fbaeb819ca7b20dca048217ff585ec195e999ec
|
[
"Unlicense",
"TCL",
"DOC",
"AAL",
"X11"
] | null | null | null |
Lib/test/autotest.py
|
1byte2bytes/cpython
|
7fbaeb819ca7b20dca048217ff585ec195e999ec
|
[
"Unlicense",
"TCL",
"DOC",
"AAL",
"X11"
] | null | null | null |
# Backward compatibility -- you should use regrtest instead of this module.
import regrtest
regrtest.main()
| 27
| 75
| 0.796296
| 14
| 108
| 6.142857
| 0.857143
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.138889
| 108
| 3
| 76
| 36
| 0.924731
| 0.675926
| 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
| 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
| 4
|
ba8a67d8e2fb27fdc57c39ec7c09aaaf09aa678e
| 326
|
py
|
Python
|
config.py
|
GreenDjango/godot-bluetooth
|
734c02a0a42b52948c338931024cb224ef3d271a
|
[
"MIT"
] | 3
|
2020-09-16T08:07:07.000Z
|
2022-02-14T15:27:15.000Z
|
config.py
|
GreenDjango/godot-bluetooth
|
734c02a0a42b52948c338931024cb224ef3d271a
|
[
"MIT"
] | null | null | null |
config.py
|
GreenDjango/godot-bluetooth
|
734c02a0a42b52948c338931024cb224ef3d271a
|
[
"MIT"
] | null | null | null |
def can_build(env, platform):
return (platform == "x11")
# for futur: or platform == "windows" or platform == "osx" or platform == "android"
def configure(env):
pass
def get_doc_classes():
return [
"Bluetooth",
"NetworkedMultiplayerBt",
]
def get_doc_path():
return "doc_classes"
| 17.157895
| 87
| 0.616564
| 37
| 326
| 5.27027
| 0.567568
| 0.153846
| 0.092308
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.008197
| 0.251534
| 326
| 18
| 88
| 18.111111
| 0.790984
| 0.248466
| 0
| 0
| 0
| 0
| 0.185185
| 0.090535
| 0
| 0
| 0
| 0
| 0
| 1
| 0.363636
| false
| 0.090909
| 0
| 0.272727
| 0.636364
| 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
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 1
| 0
|
0
| 4
|
ba99690e47c7291ad546f56f9a78563f06eef8e8
| 78
|
py
|
Python
|
benchmarks/fibonacci/fib.py
|
truelossless/crocolang
|
70cfe5f95476831efef4dd16f66f02df667d2e10
|
[
"MIT"
] | 2
|
2021-01-21T09:13:13.000Z
|
2021-01-21T12:22:49.000Z
|
benchmarks/fibonacci/fib.py
|
truelossless/crocolang
|
70cfe5f95476831efef4dd16f66f02df667d2e10
|
[
"MIT"
] | null | null | null |
benchmarks/fibonacci/fib.py
|
truelossless/crocolang
|
70cfe5f95476831efef4dd16f66f02df667d2e10
|
[
"MIT"
] | null | null | null |
def fib(n):
if(n <= 1): return n
return fib(n-1) + fib(n-2)
print(fib(30))
| 13
| 27
| 0.564103
| 18
| 78
| 2.444444
| 0.5
| 0.272727
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.079365
| 0.192308
| 78
| 5
| 28
| 15.6
| 0.619048
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0
| 0
| 0
| 0.5
| 0.25
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
bab83b40d6fdac09b2d304e6858f6c695194e61a
| 28,532
|
py
|
Python
|
interlocking.py
|
johnrm174/layout-signalling-scheme
|
77507232c9d7f05bffd5408e0bef1e90478ef082
|
[
"MIT"
] | null | null | null |
interlocking.py
|
johnrm174/layout-signalling-scheme
|
77507232c9d7f05bffd5408e0bef1e90478ef082
|
[
"MIT"
] | null | null | null |
interlocking.py
|
johnrm174/layout-signalling-scheme
|
77507232c9d7f05bffd5408e0bef1e90478ef082
|
[
"MIT"
] | null | null | null |
#----------------------------------------------------------------------
# This Module deals with the signal/point interlocking for the layout
# This ensures signals are locked (in their "ON" state- i.e. danger)
# if the points ahead are not switched correctly (with FPLs activated)
# for the route controlled by the signal. Similarly points are locked
# along the route controlled by the signal when the signal is "OFF"
#----------------------------------------------------------------------
from model_railway_signals import *
#----------------------------------------------------------------------
# External function to set the initial locking conditions at startup
#----------------------------------------------------------------------
def set_initial_interlocking_conditions():
lock_signal (5,7,13,14)
return()
#----------------------------------------------------------------------
# Internal function to interlock a signal with its subsidary aspect
#----------------------------------------------------------------------
def interlock_main_and_subsidary (sig_id):
if subsidary_clear(sig_id): lock_signal(sig_id)
else: unlock_signal(sig_id)
if signal_clear(sig_id): lock_subsidary(sig_id)
else: unlock_subsidary(sig_id)
#----------------------------------------------------------------------
# Refresh the interlocking (to be called following any changes)
# Station area is effectively split into East and West
# Which would equate to two signal boxes (just like the real thing)
#----------------------------------------------------------------------
def process_interlocking_west():
# ----------------------------------------------------------------------
# Signal 1 (West box)
# Main Signal - Branch Line towards Signal 2
# ----------------------------------------------------------------------
# Interlock with signals controlling conflicting outbound movements
if not point_switched(2) and not point_switched(4):
# Route into Platform 3 - Interlock with Signal 6
if signal_clear(6) or subsidary_clear(6): lock_signal(1)
else: unlock_signal(1)
elif not point_switched(2) and point_switched(4) and not point_switched(5):
# Route into Goods Loop - Interlock with Signal 5
if signal_clear(5) or subsidary_clear(6): lock_signal(1)
else: unlock_signal(1)
else:
# no conflicting movements set up
unlock_signal(1)
# ----------------------------------------------------------------------
# Signal 2 (West box)
# Main & Subsidary Signals - Branch Line into Platform 3 or Goods loop
# ----------------------------------------------------------------------
if point_switched(2) or not fpl_active(2) or not fpl_active(4):
# No Route
lock_signal(2)
lock_subsidary(2)
elif not point_switched(4):
# Route set into platform 3
if not point_switched(6) and not point_switched(8) and (signal_clear(10) or subsidary_clear(10)):
# conflicting movement already cleared into platform 3 from branch
lock_signal(2)
lock_subsidary(2)
elif not point_switched(6) and point_switched(8) and point_switched(9) and signal_clear(11):
# conflicting movement already cleared into platform 3 from down main
lock_signal(2)
lock_subsidary(2)
elif signal_clear(6) or subsidary_clear(6):
# conflicting departure movement already cleared from platform 3
lock_signal(2)
lock_subsidary(2)
else:
# Finally interlock the main and subsidary signals
interlock_main_and_subsidary(2)
elif not point_switched(5):
# Route set into Goods Loop
if not point_switched(6) and signal_clear(16):
# conflicting move already cleared into goods loop from yard
lock_signal(2)
lock_subsidary(2)
elif point_switched(6) and not point_switched(8) and (signal_clear(10) or subsidary_clear(10)):
# conflicting movement already cleared into goods loop from branch
lock_signal(2)
lock_subsidary(2)
elif point_switched(6) and point_switched(8) and point_switched(9) and signal_clear(11):
# conflicting movement already cleared into goods loop from down main
lock_signal(2)
lock_subsidary(2)
elif signal_clear(5) or subsidary_clear(5):
# conflicting departure already cleared from goods loop onto branch
lock_signal(2)
lock_subsidary(2)
else:
# Finally interlock the main and subsidary signals
interlock_main_and_subsidary(2)
else:
# no route into goods loop (point 5 is switched)
lock_signal(2)
lock_subsidary(2)
# ----------------------------------------------------------------------
# Signal 3 (West box)
# Main Signal - Up Main into Platform 1, Platform 3 or Goods loop
# ----------------------------------------------------------------------
if not fpl_active(1) or point_switched(1) or not fpl_active(2):
# No route
lock_signal(3)
elif not point_switched(2):
# Route set for up main
unlock_signal(3)
elif not point_switched(4):
# Route set into platform 3
if not point_switched(6) and not point_switched(8) and (signal_clear(10) or subsidary_clear(10)):
# conflicting movement already cleared into platform 3 from branch
lock_signal(3)
elif not point_switched(6) and point_switched(8) and point_switched(9) and signal_clear(11):
# conflicting movement already cleared into platform 3 from down main
lock_signal(3)
else:
unlock_signal(3)
elif not point_switched(5) and fpl_active:
# Route set into Goods Loop
if not point_switched(6) and signal_clear(16):
# conflicting move already cleared into goods loop from yard
lock_signal(3)
elif point_switched(6) and not point_switched(8) and (signal_clear(10) or subsidary_clear(10)):
# conflicting movement already cleared into goods loop from branch
lock_signal(3)
elif point_switched(6) and point_switched(8) and point_switched(9) and signal_clear(11):
# conflicting movement already cleared into goods loop from down main
lock_signal(3)
else:
unlock_signal(3)
else:
# No route into goods loop (point 5 is switched or point 4 FPL not active)
lock_signal(3)
# ----------------------------------------------------------------------
# Signal 5 (West box)
# Main Signal - Routes onto Branch or Down Maiin
# Subsidary Signal - Route onto Branch or MPD or Goods Yard
# ----------------------------------------------------------------------
if point_switched(5):
# Shunting move into Goods yard only
lock_signal(5)
if signal_clear(14): lock_subsidary(5)
else: unlock_subsidary(5)
elif not fpl_active(4):
# No Route - Point 4 not locked
lock_signal(5)
lock_subsidary(5)
elif not point_switched(4) and fpl_active(4):
# Shunting move into MPD only
lock_signal(5)
if signal_clear(15): lock_subsidary(5)
else: unlock_subsidary(5)
elif not fpl_active(2):
# No Route - Point 2 not locked
lock_signal(5)
lock_subsidary(5)
elif not point_switched(2):
# Route is set to Branch - Interlock with Signals 1 and 2
if signal_clear(1) or signal_clear(2) or subsidary_clear(2):
lock_signal(5)
lock_subsidary(5)
else:
# Finally interlock the main/subsidary signals
interlock_main_and_subsidary(5)
elif not point_switched(1) or not fpl_active(1):
# Outbound Route is not fully set (no route onto Down Main)
lock_signal(5)
lock_subsidary(5)
else:
# Route is set and locked to Down Main - shunting not allowed
unlock_signal(5)
lock_subsidary(5)
# ----------------------------------------------------------------------
# Signal 6 (West box)
# Main Signal - Routes onto Branch or Down Maiin
# Subsidary Signal - Route onto Branch only
# ----------------------------------------------------------------------
if point_switched(4) or not fpl_active(4) or not fpl_active(2):
# No Route
lock_signal(6)
lock_subsidary(6)
elif not point_switched(2):
# Route is set to Branch - Interlock with Signals 1 and 2
if signal_clear(1) or signal_clear(2) or subsidary_clear(2):
lock_signal(6)
lock_subsidary(6)
else:
# Finally interlock the main/subsidary signals
interlock_main_and_subsidary(6)
elif not point_switched(1) or not fpl_active(1):
# Outbound Route is not fully set (no route onto Down Main)
lock_signal(6)
lock_subsidary(6)
else:
# Route is set and locked to Down Main - shunting not allowed
unlock_signal(6)
lock_subsidary(6)
# ----------------------------------------------------------------------
# Signal 12 (West box)
# Main Signal - Route onto Down Main only
# ----------------------------------------------------------------------
if point_switched(3) or not fpl_active(3) or point_switched(1) or not fpl_active(1):
# Route not set and locked
lock_signal(12)
else:
unlock_signal(12)
# ----------------------------------------------------------------------
# Signal 13 (West box)
# Main Signal - Route onto Down Main only
# ----------------------------------------------------------------------
if not point_switched(3) or not fpl_active(3) or point_switched(1) or not fpl_active(1):
# Route not set and locked
lock_signal(13)
else:
unlock_signal(13)
# ----------------------------------------------------------------------
# Signal 14 (West box) - Exit from Goods Yard
# Subsidary Signal - Route to Goods Loop only
# ----------------------------------------------------------------------
if not point_switched(5):
# No route
lock_signal(14)
elif not point_switched(6) and signal_clear(16):
# conflicting route set up into goods loop from other end of yard
lock_signal(14)
elif point_switched(6) and not point_switched(8) and (signal_clear(10) or subsidary_clear(10)):
# conflicting route set up into goods loop from branch
lock_signal(14)
elif point_switched(6) and point_switched(8) and point_switched(9) and signal_clear(11):
# conflicting route set up into goods loop from down main
lock_signal(14)
else:
# Route set to goods loop - Interlock with signal 5
if signal_clear(5) or subsidary_clear(5):lock_signal(14)
else: unlock_signal(14)
# ----------------------------------------------------------------------
# Signal 15 (West box) - Exit from MPD
# Subsidary Signal - Route to Goods Loop only
# ----------------------------------------------------------------------
if point_switched(5) or point_switched(4) or not fpl_active(4):
# No route
lock_signal(15)
elif not point_switched(6) and signal_clear(16):
# conflicting route set up into goods loop from other end of yard
lock_signal(15)
elif point_switched(6) and not point_switched(8) and (signal_clear(10) or subsidary_clear(10)):
# conflicting route set up into goods loop from branch
lock_signal(15)
elif point_switched(6) and point_switched(8) and point_switched(9) and signal_clear(11):
# conflicting route set up into goods loop from down main
lock_signal(15)
else:
# Route set to goods loop - Interlock with signal 5
if signal_clear(5) or subsidary_clear(5): lock_signal(15)
else: unlock_signal(15)
# ----------------------------------------------------------------------
# Point 1 (West box)
# Routes from Goods Loop, Platform 3, Down Loop and Platform 1
# ----------------------------------------------------------------------
if signal_clear(3):
# arrival from up main Set/Cleared
lock_point(1)
elif signal_clear(12) or signal_clear(13):
# departure from Down main or Platform 3 Set/Cleared
lock_point(1)
elif point_switched(1) and point_switched(2) and (signal_clear(5) or signal_clear(6)) :
# departute from goods loop or platform 3 onto Down main set/cleared (no shunting onto down main)
lock_point(1)
else:
unlock_point(1)
# ----------------------------------------------------------------------
# Point 2 (West box)
# Routes from Goods Loop, Platform 3, Down Loop and Platform 1
# ----------------------------------------------------------------------
if signal_clear(3) or signal_clear(2) or subsidary_clear(2):
# movement from up main or from branch set/cleared
lock_point(2)
elif not point_switched(4) and (signal_clear(6) or subsidary_clear(6)):
# movement from platform 3 set/cleared
lock_point(2)
elif point_switched(4) and not point_switched(5) and (signal_clear(5) or subsidary_clear(5)):
# movement from goods loop set/cleared
lock_point(2)
else:
unlock_point(2)
# ----------------------------------------------------------------------
# Point 3 (West box)
# Routes from Down Loop and Platform 1
# ----------------------------------------------------------------------
if signal_clear(12) or signal_clear(13):
# Departure from platform 3 or down main set/cleared
lock_point(3)
else:
unlock_point(3)
# ----------------------------------------------------------------------
# Point 4 (West box)
# ----------------------------------------------------------------------
if signal_clear(15):
# movement from MPD set/cleared
lock_point(4)
elif signal_clear(2) or subsidary_clear(2):
# arrival from branch set/cleared
lock_point(4)
elif signal_clear(6) or subsidary_clear(6):
# Departure from platform 3 set/cleared
lock_point(4)
elif not point_switched(5) and (signal_clear(5) or subsidary_clear(5)):
# departure from goods loop set/cleared
lock_point(4)
elif point_switched(2) and signal_clear(3):
# arrival from up main set/cleared
lock_point(4)
else:
unlock_point(4)
# ----------------------------------------------------------------------
# Point 5 (West box) - No Facing Point Locks
# ----------------------------------------------------------------------
if signal_clear(14) or signal_clear(15):
# movement from MPD or from goods yard set/cleared
lock_point(5)
elif signal_clear(5) or subsidary_clear(5):
# movement from goods loop set/cleared
lock_point(5)
elif point_switched(4) and (signal_clear(2) or subsidary_clear(2)):
# movement from branch set/cleared
lock_point(5)
elif point_switched(2) and point_switched(4) and signal_clear(3):
# arrival from up main set/cleared
lock_point(5)
else:
unlock_point(5)
#----------------------------------------------------------------------
# Station East Interlocking
#----------------------------------------------------------------------
def process_interlocking_east():
# ----------------------------------------------------------------------
# Signal 4 (East box)
# Main Signal - Route onto Up Maiin
# ----------------------------------------------------------------------
if point_switched(8) or not fpl_active(8) or point_switched(9) or not fpl_active(9):
# No Route
lock_signal(4)
else:
unlock_signal(4)
# ----------------------------------------------------------------------
# Signal 7 (East box)
# Main Signal - Routes onto Branch or Up Maiin
# Subsidary Signal - Route onto Branch only
# ----------------------------------------------------------------------
if not fpl_active(6):
# No Route - Point 6 not locked
lock_signal(7)
lock_subsidary(7)
elif not point_switched(6):
# Route selected for goods yard - shunting only
lock_signal(7)
# interlock with signal 16 controlling output from the yard
if signal_clear(16): lock_subsidary(7)
else: unlock_subsidary(7)
elif not fpl_active(8):
# No Route - Point 8 not locked
lock_signal(7)
lock_subsidary(7)
elif not point_switched(8):
# Route selected for Branch line
# Interlock with signals controling movements from branch line
if signal_clear(9) or signal_clear(10) or subsidary_clear(10):
lock_signal(7)
lock_subsidary(7)
else:
# interlock the main/subsidary signals
interlock_main_and_subsidary(7)
elif point_switched(9) or not fpl_active(9):
# No route (points are set for down main)
lock_signal(7)
lock_subsidary(7)
else:
# Route is set and locked to Up Main - No shunting
unlock_signal(7)
lock_subsidary(7)
# ----------------------------------------------------------------------
# Signal 8 (East box)
# Main Signal - Routes onto Branch or Up Maiin
# Subsidary Signal - Route onto Branch only
# ----------------------------------------------------------------------
if point_switched(6) or not fpl_active(6) or not fpl_active(8):
# No Route
lock_signal(8)
lock_subsidary(8)
elif not point_switched(8):
# Route is set to Branch - Interlock with Signals 9 and 10
if signal_clear(9) or signal_clear(10) or subsidary_clear(10):
lock_signal(8)
lock_subsidary(8)
else:
# Finally interlock the main/subsidary signals
interlock_main_and_subsidary(8)
elif point_switched(9) or not fpl_active(9):
# Outbound Route is not fully set (no route onto Up Main)
lock_signal(8)
lock_subsidary(8)
else:
# Route is set and locked to Up Main - shunting not allowed
unlock_signal(8)
lock_subsidary(8)
# ----------------------------------------------------------------------
# Signal 9 (East box)
# Main Signal - Routes into Platform 3 or Goods loop
# ----------------------------------------------------------------------
# Interlock with signals controlling conflicting outbound movements
if not point_switched(8) and not point_switched(6):
# Route into Platform 3 - Interlock with Signal 8
if signal_clear(8) or subsidary_clear(8): lock_signal(9)
else: unlock_signal(9)
elif not point_switched(8) and point_switched(6):
# Route into Goods Loop - Interlock with Signal 7
if signal_clear(7) or subsidary_clear(7): lock_signal(9)
else: unlock_signal(9)
else:
# no conflicting movements set up
unlock_signal(9)
# ----------------------------------------------------------------------
# Signal 10 (East box)
# Main Signal & Subsidary Signal - Routes into Platform 3 or Goods loop
# ----------------------------------------------------------------------
if point_switched(8) or not fpl_active(8) or not fpl_active(6):
# No Route
lock_signal(10)
lock_subsidary(10)
elif not point_switched(6):
# Route set into platform 3
if not point_switched(4) and not point_switched(2) and (signal_clear(2) or subsidary_clear(2)):
# conflicting movement already cleared into platform 3 from branch
lock_signal(10)
lock_subsidary(10)
elif not point_switched(4) and point_switched(2) and not point_switched(1) and signal_clear(3):
# conflicting movement already cleared into platform 3 from up main
lock_signal(10)
lock_subsidary(10)
elif signal_clear(8) or subsidary_clear(8):
# conflicting departure movement already cleared from platform 3
lock_signal(10)
lock_subsidary(10)
else:
# Finally interlock the main and subsidary signals
interlock_main_and_subsidary(10)
else:
# Route set into Goods Loop
if point_switched(5) and signal_clear(14):
# conflicting move already cleared into goods loop from yard
lock_signal(10)
lock_subsidary(10)
elif not point_switched(4) and signal_clear(15):
# conflicting move already cleared into goods loop from MPD
lock_signal(10)
lock_subsidary(10)
elif point_switched(4) and not point_switched(2) and (signal_clear(2) or subsidary_clear(2)):
# conflicting movement already cleared into goods loop from branch
lock_signal(10)
lock_subsidary(10)
elif point_switched(4) and point_switched(2) and not point_switched(1) and signal_clear(3):
# conflicting movement already cleared into goods loop from up main
lock_signal(10)
lock_subsidary(10)
elif signal_clear(5) or subsidary_clear(5):
# conflicting departure already cleared from goods loop onto branch
lock_signal(10)
lock_subsidary(10)
else:
# Finally interlock the main and subsidary signals
interlock_main_and_subsidary(10)
# ----------------------------------------------------------------------
# Signal 11 (East box)
# Main Signal - Routes into Plat 1, Down Loop, Plat 3 or Goods loop
# ----------------------------------------------------------------------
if not fpl_active(9):
# No route
lock_signal(11)
elif not point_switched(9):
# Route set for down main or platform 1
if not fpl_active(7):
# Route not fully set/locked
lock_signal(11)
else:
unlock_signal(11)
elif not point_switched(8) or not fpl_active(8) or not fpl_active(6):
# Route not fully set/locked
lock_signal(11)
elif not point_switched(6):
# Route set into platform 3
if not point_switched(4) and not point_switched(2) and (signal_clear(2) or subsidary_clear(2)):
# conflicting movement already cleared into platform 3 from branch
lock_signal(11)
elif not point_switched(4) and point_switched(2) and not point_switched(1) and signal_clear(3):
# conflicting movement already cleared into platform 3 from up main
lock_signal(11)
else:
# no conflicting movements
unlock_signal(11)
else:
# Route set into Goods Loop
if point_switched(5) and signal_clear(14):
# conflicting move already cleared into goods loop from yard
lock_signal(11)
elif not point_switched(4) and signal_clear(15):
# conflicting move already cleared into goods loop from MPD
lock_signal(11)
elif point_switched(4) and not point_switched(2) and (signal_clear(2) or subsidary_clear(2)):
# conflicting movement already cleared into goods loop from branch
lock_signal(11)
elif point_switched(4) and point_switched(2) and not point_switched(1) and signal_clear(3):
# conflicting movement already cleared into goods loop from up main
lock_signal(11)
else:
# no conflicting movements
unlock_signal(11)
# ----------------------------------------------------------------------
# Signal 16 (East box) - Exit from Goods Yard
# ----------------------------------------------------------------------
if point_switched(10) or point_switched(6) or not fpl_active(6):
# Route not fully set/locked
lock_signal(16)
elif point_switched(5) and signal_clear(14):
# conflicting movement sset up into goods loop from other end of yard
lock_signal(16)
elif not point_switched(5) and not point_switched(4) and signal_clear(15):
# conflicting route set up into goods loop from MPD
lock_signal(16)
elif not point_switched(5) and point_switched(4) and not point_switched(2) and (signal_clear(2) or subsidary_clear(2)):
# conflicting route set up into goods loop from branch
lock_signal(16)
elif not point_switched(5) and point_switched(4) and point_switched(2) and not point_switched(1) and signal_clear(3):
# conflicting route set up into goods loop from up main
lock_signal(16)
else:
# Route set from goods loop - Interlock with signal 7
if signal_clear(7) or subsidary_clear(7):lock_signal(16)
else: unlock_signal(16)
# ----------------------------------------------------------------------
# Point 6 (East box)
# ----------------------------------------------------------------------
if signal_clear(16):
# movement from Goods Yard set/cleared
lock_point(6)
elif signal_clear(10) or subsidary_clear(10):
# arrival from branch set/cleared
lock_point(6)
elif signal_clear(8) or subsidary_clear(8):
# Departure from platform 3 set/cleared
lock_point(6)
elif signal_clear(7) or subsidary_clear(7):
# departure from goods loop set/cleared
lock_point(6)
elif point_switched(8) and point_switched(9) and signal_clear(11):
# arrival from down main set/cleared
lock_point(6)
else:
unlock_point(6)
# ----------------------------------------------------------------------
# Point 7 (East box)
# ----------------------------------------------------------------------
if not point_switched(9) and signal_clear(11):
# arrival from down main into platform 1 or through loop set/cleared
lock_point(7)
else:
unlock_point(7)
# ----------------------------------------------------------------------
# Point 8 (East box)
# ----------------------------------------------------------------------
if point_switched(9) and signal_clear(11):
# arrival from down main set/cleared
lock_point(8)
elif signal_clear(10) or subsidary_clear(10):
# movement from branch set/cleared
lock_point(8)
elif not point_switched(6) and (signal_clear(8) or subsidary_clear(8)):
# movement from platform 3 set/cleared
lock_point(8)
elif point_switched(6) and (signal_clear(7) or subsidary_clear(7)):
# movement from goods loop set/cleared
lock_point(8)
elif signal_clear(4):
# departure from platform 2 set/cleared
lock_point(8)
else:
unlock_point(8)
# ----------------------------------------------------------------------
# Point 9 (East box)
# ----------------------------------------------------------------------
if signal_clear(11) or signal_clear(4):
# arrival from down main or departure from platform 2 Set/Cleared
lock_point(9)
elif point_switched(9) and point_switched(8) and (signal_clear(7) or signal_clear(8)) :
# departute from goods loop or platform 3 onto Down main set/cleared (no shunting onto down main)
lock_point(9)
else:
unlock_point(9)
# ----------------------------------------------------------------------
# Point 10 (East box) - To Goods yard
# ----------------------------------------------------------------------
if signal_clear(16):
# movement from goods yard set/cleared
lock_point(10)
elif not point_switched(6) and subsidary_clear(7):
# shunting movement to goods yard set/cleared (no main route)
lock_point(10)
else:
unlock_point(10)
return()
#######################################################################################
| 42.395245
| 123
| 0.538763
| 3,397
| 28,532
| 4.370621
| 0.044745
| 0.115579
| 0.071125
| 0.045801
| 0.844211
| 0.82185
| 0.77578
| 0.729373
| 0.631306
| 0.590086
| 0
| 0.032505
| 0.248458
| 28,532
| 672
| 124
| 42.458333
| 0.659889
| 0.453
| 0
| 0.694286
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.011429
| false
| 0
| 0.002857
| 0
| 0.014286
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
bafd2800fcf37c8847f1aa062c36f6f803199db4
| 546
|
py
|
Python
|
ENTRY_MODULE/ConditionalStatementsAdvanced/EXERCISE/02_Summer_Outfit.py
|
sleepychild/ProgramingBasicsPython
|
d96dc4662adc1c8329b731b9c9b7fa4ecf69ec16
|
[
"MIT"
] | null | null | null |
ENTRY_MODULE/ConditionalStatementsAdvanced/EXERCISE/02_Summer_Outfit.py
|
sleepychild/ProgramingBasicsPython
|
d96dc4662adc1c8329b731b9c9b7fa4ecf69ec16
|
[
"MIT"
] | 1
|
2022-01-15T10:33:56.000Z
|
2022-01-15T10:33:56.000Z
|
ENTRY_MODULE/ConditionalStatementsAdvanced/EXERCISE/02_Summer_Outfit.py
|
sleepychild/ProgramingBasicsPython
|
d96dc4662adc1c8329b731b9c9b7fa4ecf69ec16
|
[
"MIT"
] | null | null | null |
temp: int = int(input())
temp_range: int = 0 if (10 <= temp <= 18) else 1 if (18 < temp <= 24) else 2
day_time: int = ('Morning', 'Afternoon', 'Evening',).index(input())
options: tuple = (
(('Sweatshirt', 'Sneakers',),('Shirt','Moccasins',),('Shirt','Moccasins',),),
(('Shirt','Moccasins',),('T-Shirt','Sandals',),('Shirt','Moccasins',),),
(('T-Shirt','Sandals',),('Swim Suit','Barefoot',),('Shirt','Moccasins',),),
)
print(f'It\'s {temp} degrees, get your {options[temp_range][day_time][0]} and {options[temp_range][day_time][1]}.')
| 54.6
| 115
| 0.598901
| 72
| 546
| 4.458333
| 0.513889
| 0.218069
| 0.11838
| 0.174455
| 0.311526
| 0
| 0
| 0
| 0
| 0
| 0
| 0.026749
| 0.10989
| 546
| 9
| 116
| 60.666667
| 0.633745
| 0
| 0
| 0
| 0
| 0
| 0.291209
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0
| 0
| 0
| 0.111111
| 0
| 0
| 0
| null | 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
bafe1862998ff2f390d557f1af0a1eb64b695382
| 329
|
py
|
Python
|
Tuple_Programs/tmembership.py
|
saratkumar17mss040/Python-lab-programs
|
a2faa190acaaa30d92d4c801fd53fdc668c3c394
|
[
"MIT"
] | 3
|
2020-08-26T15:29:18.000Z
|
2020-09-03T13:49:13.000Z
|
Tuple_Programs/tmembership.py
|
saratkumar17mss040/Python-lab-programs
|
a2faa190acaaa30d92d4c801fd53fdc668c3c394
|
[
"MIT"
] | null | null | null |
Tuple_Programs/tmembership.py
|
saratkumar17mss040/Python-lab-programs
|
a2faa190acaaa30d92d4c801fd53fdc668c3c394
|
[
"MIT"
] | null | null | null |
def tmembership(my_tuple1,my_tuple2):
for item in my_tuple1:
# membership in and not in operator in tuple
if item in my_tuple2:
print(str(item) + ' in my_tuple2')
if item not in my_tuple2:
print(str(item) + ' not in my_tuple2')
print(tmembership((1, 2, 3, 4, 5), (1, 2, 3)))
| 29.909091
| 52
| 0.592705
| 53
| 329
| 3.54717
| 0.396226
| 0.212766
| 0.212766
| 0.239362
| 0.367021
| 0.367021
| 0
| 0
| 0
| 0
| 0
| 0.064655
| 0.294833
| 329
| 10
| 53
| 32.9
| 0.74569
| 0.12766
| 0
| 0
| 0
| 0
| 0.105263
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.142857
| false
| 0
| 0
| 0
| 0.142857
| 0.428571
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
|
0
| 4
|
2408c89c63f9f51e08c4f854a7dfc661f117bad3
| 98
|
py
|
Python
|
bdt2cpp/tests/utils.py
|
bixel/bdt2cpp
|
bffd94d777181a3a3bba81a8173ca57ead65c27c
|
[
"MIT"
] | 3
|
2017-10-01T15:25:10.000Z
|
2021-04-10T18:42:19.000Z
|
bdt2cpp/tests/utils.py
|
bixel/bdt2cpp
|
bffd94d777181a3a3bba81a8173ca57ead65c27c
|
[
"MIT"
] | 3
|
2020-02-25T17:02:56.000Z
|
2021-05-04T06:49:49.000Z
|
bdt2cpp/tests/utils.py
|
bixel/bdt2cpp
|
bffd94d777181a3a3bba81a8173ca57ead65c27c
|
[
"MIT"
] | null | null | null |
import os
def prepare_test_env():
if not os.path.isdir('./build'):
os.mkdir('build')
| 16.333333
| 36
| 0.612245
| 15
| 98
| 3.866667
| 0.8
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.214286
| 98
| 5
| 37
| 19.6
| 0.753247
| 0
| 0
| 0
| 0
| 0
| 0.122449
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| true
| 0
| 0.25
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
242317f3625ce83997728c4647e32ab9a360b495
| 115
|
py
|
Python
|
Niels/IO_text/formatting.py
|
ArtezGDA/text-IO
|
b9ed7f2433c0eda08fb45d125ea22a5fdeaef667
|
[
"MIT"
] | null | null | null |
Niels/IO_text/formatting.py
|
ArtezGDA/text-IO
|
b9ed7f2433c0eda08fb45d125ea22a5fdeaef667
|
[
"MIT"
] | null | null | null |
Niels/IO_text/formatting.py
|
ArtezGDA/text-IO
|
b9ed7f2433c0eda08fb45d125ea22a5fdeaef667
|
[
"MIT"
] | null | null | null |
import datafile
d = datafile.my_data
print "Hello my name is %s and I am %d years of age" % (d['naam'], d['age'])
| 23
| 76
| 0.652174
| 23
| 115
| 3.217391
| 0.73913
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.191304
| 115
| 5
| 76
| 23
| 0.795699
| 0
| 0
| 0
| 0
| 0
| 0.439655
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0.333333
| null | null | 0.333333
| 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
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
24483d3bedf1483d013b39a4c37e93374bc8d611
| 413
|
py
|
Python
|
lib/report_parser/src/config_parser.py
|
CAG-ru/cag-public
|
e4d9473cc3689ad1e630fd3ba0cdfca6b3103e86
|
[
"MIT"
] | 5
|
2021-03-08T14:34:12.000Z
|
2022-01-16T20:27:41.000Z
|
lib/report_parser/src/config_parser.py
|
CAG-ru/cag-public
|
e4d9473cc3689ad1e630fd3ba0cdfca6b3103e86
|
[
"MIT"
] | 1
|
2021-02-25T16:10:29.000Z
|
2021-02-25T16:32:22.000Z
|
lib/report_parser/src/config_parser.py
|
CAG-ru/cag-public
|
e4d9473cc3689ad1e630fd3ba0cdfca6b3103e86
|
[
"MIT"
] | 3
|
2021-03-18T13:17:24.000Z
|
2021-03-19T07:06:17.000Z
|
import json
class ConfigParser:
def __init__(self, configPath):
with open(configPath, 'r') as fp:
self.configParameters = json.load(fp)
def available_extensions(self):
return list(self.configParameters.keys())
def get_config_by_extention(self, ext):
return self.configParameters.get(ext)
def __str__(self):
return str(self.configParameters)
| 25.8125
| 49
| 0.663438
| 47
| 413
| 5.574468
| 0.553191
| 0.305344
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.242131
| 413
| 16
| 50
| 25.8125
| 0.837061
| 0
| 0
| 0
| 0
| 0
| 0.002415
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.363636
| false
| 0
| 0.090909
| 0.272727
| 0.818182
| 0
| 0
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 4
|
2463eb12b4514c215249e2fa5f5c0ff5ac4f9b19
| 113
|
py
|
Python
|
collabinn/venues/admin.py
|
AbhinavTalari/SOAD-Project
|
aa89f481da2b6f29c8750d9c144f82368be81a7b
|
[
"MIT"
] | null | null | null |
collabinn/venues/admin.py
|
AbhinavTalari/SOAD-Project
|
aa89f481da2b6f29c8750d9c144f82368be81a7b
|
[
"MIT"
] | null | null | null |
collabinn/venues/admin.py
|
AbhinavTalari/SOAD-Project
|
aa89f481da2b6f29c8750d9c144f82368be81a7b
|
[
"MIT"
] | 2
|
2020-12-21T07:05:41.000Z
|
2021-02-17T17:33:48.000Z
|
from django.contrib import admin
from venues.models import DestinationInfo
admin.site.register(DestinationInfo)
| 22.6
| 41
| 0.858407
| 14
| 113
| 6.928571
| 0.714286
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.088496
| 113
| 4
| 42
| 28.25
| 0.941748
| 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
| 0
| 0
|
0
| 4
|
0333cbeef6eb10103d198aa1c8d27a19cae628e2
| 922
|
py
|
Python
|
test/automation/elements/elements_mdl_submit.py
|
agupta54/ulca
|
c1f570ac254ce2ac73f40c49716458f4f7cbaee2
|
[
"MIT"
] | 3
|
2022-01-12T06:51:51.000Z
|
2022-02-23T18:54:33.000Z
|
test/automation/elements/elements_mdl_submit.py
|
agupta54/ulca
|
c1f570ac254ce2ac73f40c49716458f4f7cbaee2
|
[
"MIT"
] | 6
|
2021-08-31T19:21:26.000Z
|
2022-01-03T05:53:42.000Z
|
test/automation/elements/elements_mdl_submit.py
|
agupta54/ulca
|
c1f570ac254ce2ac73f40c49716458f4f7cbaee2
|
[
"MIT"
] | 8
|
2021-08-12T08:07:49.000Z
|
2022-01-25T04:40:51.000Z
|
from selenium.webdriver.common.by import By
# elements_data-in-ULCA-websites
# element['name'] -> name of the element
# element["by"] -> selector(eg:By.XPATH,By.ID,By.TAG_NAME,)
# element["value"] -> value of the selector
# dashboard-page-elements
MDL_SUBMIT_NAME_INP = {
"name": "MODEL-SUBMIT-PAGE-NAME-INPUT-FIELD",
"by": By.XPATH,
"value": '//*[@id="root"]/div/div/div/div/div/div/div[3]/div/div/div[2]/div/div[1]/div/div/input',
}
MDL_SUBMIT_FILE_INP = {
"name": "MODEL-SUBMIT-PAGE-FILE-INPUT-FIELD",
"by": By.XPATH,
"value": '//*[@id="root"]/div/div/div/div/div/div/div[3]/div/div/div[2]/div/div[2]/div/div/div/div/input',
}
MDL_SUBMIT_BTN = {
"name": "MODEL-SUBMIT-PAGE-SUBMIT-BUTTON",
"by": By.XPATH,
"value": '//button[. = "Submit"]',
}
MDL_SUBMIT_SRN_TXT = {
"name": "MODEL-SUBMIT-PAGE-SRN-H5-TEXT",
"by": By.TAG_NAME,
"value": 'h5',
}
| 31.793103
| 110
| 0.616052
| 142
| 922
| 3.901408
| 0.288732
| 0.238267
| 0.227437
| 0.194946
| 0.409747
| 0.245487
| 0.245487
| 0.245487
| 0.245487
| 0.245487
| 0
| 0.010296
| 0.157267
| 922
| 28
| 111
| 32.928571
| 0.702703
| 0.238612
| 0
| 0.142857
| 0
| 0.095238
| 0.54023
| 0.442529
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.047619
| 0
| 0.047619
| 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
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
0339f49e2b9146d447f045072df9e65a8d3c9777
| 356
|
py
|
Python
|
opps/containers/managers.py
|
jeanmask/opps
|
031c6136c38d43aa6d1ccb25a94f7bcd65ccbf87
|
[
"MIT"
] | 159
|
2015-01-03T16:36:35.000Z
|
2022-03-29T20:50:13.000Z
|
opps/containers/managers.py
|
jeanmask/opps
|
031c6136c38d43aa6d1ccb25a94f7bcd65ccbf87
|
[
"MIT"
] | 81
|
2015-01-02T21:26:16.000Z
|
2021-05-29T12:24:52.000Z
|
opps/containers/managers.py
|
jeanmask/opps
|
031c6136c38d43aa6d1ccb25a94f7bcd65ccbf87
|
[
"MIT"
] | 75
|
2015-01-23T13:41:03.000Z
|
2021-09-24T03:45:23.000Z
|
from opps.core.managers import PublishableManager, PublishableQuerySet
from polymorphic.manager import PolymorphicManager
from polymorphic.query import PolymorphicQuerySet
class ContainerQuerySet(PolymorphicQuerySet, PublishableQuerySet):
pass
class ContainerManager(PolymorphicManager, PublishableManager):
queryset_class = ContainerQuerySet
| 27.384615
| 70
| 0.859551
| 29
| 356
| 10.517241
| 0.586207
| 0.098361
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.101124
| 356
| 12
| 71
| 29.666667
| 0.953125
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0.142857
| 0.428571
| 0
| 0.857143
| 0
| 1
| 0
| 1
| 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
| 0
| 1
| 1
| 0
| 0
| 0
|
0
| 4
|
0346245f5580ee64a96a061ed9f7347fadd73764
| 677
|
py
|
Python
|
keras/applications/resnext.py
|
yanghg-basefx/keras
|
9ab160db77ce7118f0b8f2400171a0faa527d19d
|
[
"MIT"
] | 10
|
2018-06-04T17:31:10.000Z
|
2022-01-14T03:51:20.000Z
|
keras/applications/resnext.py
|
Qily/keras
|
1d81a20292ca6926e595d06a6cd725dbb104a146
|
[
"MIT"
] | 1
|
2019-03-10T15:30:27.000Z
|
2019-03-10T15:30:27.000Z
|
keras/applications/resnext.py
|
Qily/keras
|
1d81a20292ca6926e595d06a6cd725dbb104a146
|
[
"MIT"
] | 7
|
2018-07-17T01:45:31.000Z
|
2021-04-09T10:20:51.000Z
|
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
try:
from keras_applications import resnext
except:
resnext = None
from . import keras_modules_injection
@keras_modules_injection
def ResNeXt50(*args, **kwargs):
return resnext.ResNeXt50(*args, **kwargs)
@keras_modules_injection
def ResNeXt101(*args, **kwargs):
return resnext.ResNeXt101(*args, **kwargs)
@keras_modules_injection
def decode_predictions(*args, **kwargs):
return resnext.decode_predictions(*args, **kwargs)
@keras_modules_injection
def preprocess_input(*args, **kwargs):
return resnext.preprocess_input(*args, **kwargs)
| 22.566667
| 54
| 0.778434
| 80
| 677
| 6.225
| 0.3125
| 0.160643
| 0.210843
| 0.192771
| 0.204819
| 0.204819
| 0
| 0
| 0
| 0
| 0
| 0.01692
| 0.127031
| 677
| 29
| 55
| 23.344828
| 0.825719
| 0
| 0
| 0.2
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.2
| false
| 0
| 0.25
| 0.2
| 0.65
| 0.05
| 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
| 0
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 4
|
034871d2362cf4a0793fd0c558fba80139dba777
| 83
|
py
|
Python
|
usaspending_api/idvs/apps.py
|
g4brielvs/usaspending-api
|
bae7da2c204937ec1cdf75c052405b13145728d5
|
[
"CC0-1.0"
] | 217
|
2016-11-03T17:09:53.000Z
|
2022-03-10T04:17:54.000Z
|
usaspending_api/idvs/apps.py
|
g4brielvs/usaspending-api
|
bae7da2c204937ec1cdf75c052405b13145728d5
|
[
"CC0-1.0"
] | 622
|
2016-09-02T19:18:23.000Z
|
2022-03-29T17:11:01.000Z
|
usaspending_api/idvs/apps.py
|
g4brielvs/usaspending-api
|
bae7da2c204937ec1cdf75c052405b13145728d5
|
[
"CC0-1.0"
] | 93
|
2016-09-07T20:28:57.000Z
|
2022-02-25T00:25:27.000Z
|
from django.apps import AppConfig
class IDVsConfig(AppConfig):
name = "idvs"
| 13.833333
| 33
| 0.73494
| 10
| 83
| 6.1
| 0.9
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.180723
| 83
| 5
| 34
| 16.6
| 0.897059
| 0
| 0
| 0
| 0
| 0
| 0.048193
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 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
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
0353e3e1d8f4b0a50f785b91d6be6fcc5698a677
| 320
|
py
|
Python
|
utils/crypto/des.py
|
thatbirdguythatuknownot/pyutils
|
35a30acf5c2755c070046d96f4d385c65a4f382c
|
[
"MIT"
] | 3
|
2021-01-06T15:01:51.000Z
|
2021-08-20T07:12:13.000Z
|
utils/crypto/des.py
|
thatbirdguythatuknownot/pyutils
|
35a30acf5c2755c070046d96f4d385c65a4f382c
|
[
"MIT"
] | 1
|
2022-02-11T09:11:42.000Z
|
2022-02-11T09:11:42.000Z
|
utils/crypto/des.py
|
thatbirdguythatuknownot/pyutils
|
35a30acf5c2755c070046d96f4d385c65a4f382c
|
[
"MIT"
] | 1
|
2022-01-20T22:59:18.000Z
|
2022-01-20T22:59:18.000Z
|
from Crypto.Cipher import DES
weak_keys = [
b"\x01\x01\x01\x01\x01\x01\x01\x01", b"\xFE\xFE\xFE\xFE\xFE\xFE\xFE\xFE",
b"\xE0\xE0\xE0\xE0\xF1\xF1\xF1\xF1", b"\x1F\x1F\x1F\x1F\x0E\x0E\x0E\x0E"
]
def all_weak_keys(ciphertext, iv):
return [(DES.new(key, DES.MODE_OFB, iv).decrypt(ciphertext), key) for key in weak_keys]
| 35.555556
| 88
| 0.709375
| 65
| 320
| 3.415385
| 0.4
| 0.189189
| 0.243243
| 0.27027
| 0.216216
| 0.216216
| 0.216216
| 0
| 0
| 0
| 0
| 0.109589
| 0.0875
| 320
| 8
| 89
| 40
| 0.650685
| 0
| 0
| 0
| 0
| 0
| 0.4
| 0.4
| 0
| 0
| 0
| 0
| 0
| 1
| 0.142857
| false
| 0
| 0.142857
| 0.142857
| 0.428571
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
|
0
| 4
|
035c43674138710bfd97849618dda262ca8b7398
| 31
|
py
|
Python
|
autokey/CapsCtrl/caps_9.py
|
TeX2e/dotfiles
|
4e39b59623067fcb09ceaa7f4892ff7a2b285374
|
[
"WTFPL"
] | 1
|
2017-04-17T16:24:23.000Z
|
2017-04-17T16:24:23.000Z
|
autokey/CapsCtrl/caps_9.py
|
TeX2e/dotfiles
|
4e39b59623067fcb09ceaa7f4892ff7a2b285374
|
[
"WTFPL"
] | null | null | null |
autokey/CapsCtrl/caps_9.py
|
TeX2e/dotfiles
|
4e39b59623067fcb09ceaa7f4892ff7a2b285374
|
[
"WTFPL"
] | 1
|
2021-02-23T07:51:32.000Z
|
2021-02-23T07:51:32.000Z
|
keyboard.send_keys("<ctrl>+9")
| 15.5
| 30
| 0.709677
| 5
| 31
| 4.2
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.033333
| 0.032258
| 31
| 1
| 31
| 31
| 0.666667
| 0
| 0
| 0
| 0
| 0
| 0.258065
| 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
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
cee2635b269705c3369eb5c3d9fbcd9335fb644e
| 150
|
py
|
Python
|
Yadu/generic/29_classes.py
|
SrishtiGameLab/ema-virtual-worlds-s1c1ws-1617
|
483049e05ac032af4f3f2023c059eb8ffa3c369d
|
[
"MIT"
] | null | null | null |
Yadu/generic/29_classes.py
|
SrishtiGameLab/ema-virtual-worlds-s1c1ws-1617
|
483049e05ac032af4f3f2023c059eb8ffa3c369d
|
[
"MIT"
] | null | null | null |
Yadu/generic/29_classes.py
|
SrishtiGameLab/ema-virtual-worlds-s1c1ws-1617
|
483049e05ac032af4f3f2023c059eb8ffa3c369d
|
[
"MIT"
] | null | null | null |
'''
importing a pirate class from a file
'''
import pirate
n = raw_input("What do they call ye, you scallywag!!: ")
print pirate.PirateName(n).gen()
| 18.75
| 56
| 0.7
| 24
| 150
| 4.333333
| 0.833333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.16
| 150
| 8
| 57
| 18.75
| 0.825397
| 0
| 0
| 0
| 0
| 0
| 0.364486
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0.333333
| null | null | 0.333333
| 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
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
ceea4187c3a2f65482e41e454d19db62d2cf79c0
| 89
|
py
|
Python
|
tpau_gtfsutilities/gtfs/tables/fare_attributes.py
|
anniekfifer/tpau-gtfsutils
|
a022d4c8465b7f736023ecc294ff0d7d0201b0e9
|
[
"BSD-3-Clause"
] | 1
|
2021-05-25T23:33:01.000Z
|
2021-05-25T23:33:01.000Z
|
tpau_gtfsutilities/gtfs/tables/fare_attributes.py
|
anniekfifer/tpau-gtfsutils
|
a022d4c8465b7f736023ecc294ff0d7d0201b0e9
|
[
"BSD-3-Clause"
] | null | null | null |
tpau_gtfsutilities/gtfs/tables/fare_attributes.py
|
anniekfifer/tpau-gtfsutils
|
a022d4c8465b7f736023ecc294ff0d7d0201b0e9
|
[
"BSD-3-Clause"
] | null | null | null |
from .gtfstable import GTFSTable
class FareAttributes(GTFSTable):
index=['fare_id']
| 17.8
| 32
| 0.764045
| 10
| 89
| 6.7
| 0.8
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.134831
| 89
| 4
| 33
| 22.25
| 0.87013
| 0
| 0
| 0
| 0
| 0
| 0.078652
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 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
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
30355b1f9ff05e46149f6c21061e69a11b19072a
| 466
|
py
|
Python
|
bsstudio/__init__.py
|
bsobhani/bsstudio
|
d404de6c105f7116b88baeb18a22fee56b672651
|
[
"BSD-3-Clause"
] | null | null | null |
bsstudio/__init__.py
|
bsobhani/bsstudio
|
d404de6c105f7116b88baeb18a22fee56b672651
|
[
"BSD-3-Clause"
] | null | null | null |
bsstudio/__init__.py
|
bsobhani/bsstudio
|
d404de6c105f7116b88baeb18a22fee56b672651
|
[
"BSD-3-Clause"
] | null | null | null |
from .window import getMainWindow, isMainWindow
from .window import load
from .window import deleteWidgetAndChildren
import logging
#logging.basicConfig(level=logging.WARN, format='%(message)s')
#logging.basicConfig(filename="log", filemode='a', level=logging.WARN, format="%(asctime)s:%(levelname)s:%(name)s:%(message)s", datefmt='%Y-%m-%d %H:%M:%S')
#logging.getLogger().addHandler(logging.StreamHandler())
#logging.getLogger().addHandler(logging.StreamHandler())
| 51.777778
| 156
| 0.766094
| 58
| 466
| 6.155172
| 0.5
| 0.084034
| 0.134454
| 0.123249
| 0.257703
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.053648
| 466
| 8
| 157
| 58.25
| 0.809524
| 0.699571
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 0
| 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
| 4
|
30410fa405c3462776181dcfcd2ee467fda1db20
| 270
|
py
|
Python
|
src/app/service/enums.py
|
z-station/cappa-antiplag
|
d83ec1810dadccdc3b002ea983282c53c7c4bda6
|
[
"MIT"
] | null | null | null |
src/app/service/enums.py
|
z-station/cappa-antiplag
|
d83ec1810dadccdc3b002ea983282c53c7c4bda6
|
[
"MIT"
] | null | null | null |
src/app/service/enums.py
|
z-station/cappa-antiplag
|
d83ec1810dadccdc3b002ea983282c53c7c4bda6
|
[
"MIT"
] | null | null | null |
class Lang:
""" Содержит языковые константы. """
CPP = 'cpp'
PYTHON = 'python'
JAVA = 'java'
SIM_LANGS = CPP, JAVA
PYCODE_LANGS = PYTHON
CHOICES = (
(CPP, CPP),
(PYTHON, PYTHON),
(JAVA, JAVA)
)
| 15.882353
| 41
| 0.47037
| 25
| 270
| 5
| 0.48
| 0.096
| 0.192
| 0.288
| 0.416
| 0.416
| 0
| 0
| 0
| 0
| 0
| 0
| 0.403704
| 270
| 16
| 42
| 16.875
| 0.776398
| 0.103704
| 0
| 0
| 0
| 0
| 0.059633
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0.636364
| 0
| 1
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 4
|
306068c5c572222a19a91b180d29f8c4336eb17e
| 152,313
|
py
|
Python
|
plot/box/cartpole_waterfall.py
|
architsakhadeo/Offline-Hyperparameter-Tuning-for-RL
|
94b8f205b12f0cc59ae8e19b2e6099f34be929d6
|
[
"MIT"
] | null | null | null |
plot/box/cartpole_waterfall.py
|
architsakhadeo/Offline-Hyperparameter-Tuning-for-RL
|
94b8f205b12f0cc59ae8e19b2e6099f34be929d6
|
[
"MIT"
] | null | null | null |
plot/box/cartpole_waterfall.py
|
architsakhadeo/Offline-Hyperparameter-Tuning-for-RL
|
94b8f205b12f0cc59ae8e19b2e6099f34be929d6
|
[
"MIT"
] | null | null | null |
import numpy as np
import os
import sys
cwd = os.getcwd()
sys.path.insert(0, cwd+'/../..')
from plot.box.utils_plot import *
from plot.box.paths_cartpoleNoisyA import *
true_perf = {'param_0': -1130.7333333333333, 'param_1': -645.2, 'param_10': -1367.9666666666667, 'param_11': -1475.9666666666667, 'param_12': -1843.5, 'param_13': -1589.2, 'param_14': -1366.3, 'param_15': -2206.9, 'param_16': -2218.8, 'param_17': -2236.4333333333334, 'param_18': -4619.633333333333, 'param_19': -1629.1333333333334, 'param_2': -1386.4333333333334, 'param_20': -917.3333333333334, 'param_21': -1989.9333333333334, 'param_22': -1559.6333333333334, 'param_23': -832.6666666666666, 'param_24': -2204.5, 'param_25': -2210.6, 'param_26': -2205.8, 'param_27': -5106.3, 'param_28': -4885.033333333334, 'param_29': -4125.266666666666, 'param_3': -1809.5666666666666, 'param_30': -3190.0, 'param_31': -3008.6, 'param_32': -2644.366666666667, 'param_33': -2207.266666666667, 'param_34': -2202.5666666666666, 'param_35': -2200.233333333333, 'param_36': -5039.033333333334, 'param_37': -5039.533333333334, 'param_38': -3821.6666666666665, 'param_39': -4921.866666666667, 'param_4': -1542.3666666666666, 'param_40': -4731.633333333333, 'param_41': -4361.0, 'param_42': -2179.4666666666667, 'param_43': -2187.4333333333334, 'param_44': -2157.8333333333335, 'param_45': -5181.166666666667, 'param_46': -5151.2, 'param_47': -4961.566666666667, 'param_48': -5091.933333333333, 'param_49': -5101.3, 'param_5': -1131.0, 'param_50': -5052.233333333334, 'param_51': -2232.366666666667, 'param_52': -2223.266666666667, 'param_53': -2212.9, 'param_6': -2201.3333333333335, 'param_7': -2218.4333333333334, 'param_8': -2236.633333333333, 'param_9': -3671.633333333333}
#dataset_number = 0
#optimal_perf_dataset = {'param_0': -765.1, 'param_1': -1135.1, 'param_10': -1122.4, 'param_11': -1223.8, 'param_12': -879.0, 'param_13': -924.1, 'param_14': -954.3, 'param_15': -879.5, 'param_16': -889.6, 'param_17': -887.9, 'param_18': -786.6, 'param_19': -871.9, 'param_2': -1234.9, 'param_20': -440.1, 'param_21': -883.6, 'param_22': -875.7, 'param_23': -912.2, 'param_24': -880.6, 'param_25': -887.9, 'param_26': -896.0, 'param_27': -735.1, 'param_28': -835.2, 'param_29': -536.3, 'param_3': -871.4, 'param_30': -859.2, 'param_31': -894.7, 'param_32': -914.6, 'param_33': -875.1, 'param_34': -872.0, 'param_35': -886.6, 'param_36': -394.2, 'param_37': -206.7, 'param_38': -590.1, 'param_39': -907.6, 'param_4': -937.0, 'param_40': -901.3, 'param_41': -889.0, 'param_42': -890.0, 'param_43': -883.7, 'param_44': -888.2, 'param_45': -9.8, 'param_46': -15.6, 'param_47': -267.8, 'param_48': -882.6, 'param_49': -888.3, 'param_5': -964.5, 'param_50': -889.7, 'param_51': -890.2, 'param_52': -885.6, 'param_53': -886.6, 'param_6': -876.9, 'param_7': -891.1, 'param_8': -889.3, 'param_9': -759.2}
#random_perf_dataset = {'param_0': -3485.8, 'param_1': -8469.5, 'param_10': -8308.1, 'param_11': -10598.0, 'param_12': -5422.8, 'param_13': -6445.9, 'param_14': -7802.4, 'param_15': -5686.7, 'param_16': -5817.6, 'param_17': -6081.4, 'param_18': -3405.2, 'param_19': -4162.3, 'param_2': -10430.9, 'param_20': -6976.6, 'param_21': -5355.9, 'param_22': -5538.4, 'param_23': -5802.3, 'param_24': -5682.1, 'param_25': -5715.1, 'param_26': -5766.7, 'param_27': -3161.4, 'param_28': -3794.9, 'param_29': -6507.8, 'param_3': -5388.4, 'param_30': -5392.5, 'param_31': -5543.3, 'param_32': -5728.2, 'param_33': -5717.7, 'param_34': -5741.5, 'param_35': -5754.5, 'param_36': -5398.5, 'param_37': -6788.3, 'param_38': -8141.5, 'param_39': -5273.2, 'param_4': -6480.1, 'param_40': -5443.2, 'param_41': -5353.3, 'param_42': -5665.2, 'param_43': -5703.4, 'param_44': -5680.7, 'param_45': -6557.5, 'param_46': -8049.0, 'param_47': -9820.4, 'param_48': -5436.4, 'param_49': -5330.2, 'param_5': -7788.7, 'param_50': -5333.0, 'param_51': -5641.5, 'param_52': -5671.5, 'param_53': -5696.9, 'param_6': -5701.9, 'param_7': -5837.9, 'param_8': -6079.9, 'param_9': -3506.1}
optimal_perf = {'run0': {'param_0': [-33.5], 'param_1': [-161.0], 'param_10': [-294.4], 'param_11': [-327.5], 'param_12': [-404.0], 'param_13': [-439.2], 'param_14': [-473.1], 'param_15': [-435.4], 'param_16': [-439.2], 'param_17': [-462.2], 'param_18': [-64.4], 'param_19': [-100.3], 'param_2': [-300.9], 'param_20': [-385.0], 'param_21': [-275.0], 'param_22': [-367.6], 'param_23': [-389.7], 'param_24': [-439.1], 'param_25': [-445.1], 'param_26': [-441.2], 'param_27': [-3.0], 'param_28': [-53.2], 'param_29': [-486.0], 'param_3': [-433.4], 'param_30': [-104.1], 'param_31': [-262.2], 'param_32': [-370.9], 'param_33': [-433.9], 'param_34': [-436.8], 'param_35': [-438.5], 'param_36': [-57.7], 'param_37': [-177.9], 'param_38': [-92.9], 'param_39': [-85.0], 'param_4': [-455.5], 'param_40': [-98.1], 'param_41': [-235.6], 'param_42': [-449.2], 'param_43': [-444.8], 'param_44': [-455.2], 'param_45': [-1.6], 'param_46': [-230.1], 'param_47': [-261.6], 'param_48': [-2.9], 'param_49': [-185.4], 'param_5': [-505.2], 'param_50': [-351.9], 'param_51': [-436.8], 'param_52': [-429.8], 'param_53': [-449.1], 'param_6': [-433.0], 'param_7': [-441.7], 'param_8': [-461.8], 'param_9': [-3.6]}, 'run1': {'param_0': [-61.1], 'param_1': [-759.7], 'param_10': [-263.2], 'param_11': [-292.2], 'param_12': [-129.9], 'param_13': [-186.8], 'param_14': [-486.1], 'param_15': [-154.4], 'param_16': [-164.3], 'param_17': [-189.7], 'param_18': [-75.5], 'param_19': [-317.2], 'param_2': [-703.8], 'param_20': [-323.1], 'param_21': [-250.1], 'param_22': [-315.2], 'param_23': [-357.4], 'param_24': [-162.6], 'param_25': [-158.0], 'param_26': [-162.4], 'param_27': [-4.2], 'param_28': [-27.9], 'param_29': [-99.0], 'param_3': [-156.6], 'param_30': [-35.4], 'param_31': [-171.8], 'param_32': [-434.5], 'param_33': [-147.4], 'param_34': [-149.3], 'param_35': [-180.3], 'param_36': [-194.3], 'param_37': [-232.9], 'param_38': [-210.9], 'param_39': [-236.4], 'param_4': [-218.4], 'param_40': [-211.4], 'param_41': [-277.3], 'param_42': [-182.2], 'param_43': [-178.0], 'param_44': [-180.9], 'param_45': [-76.4], 'param_46': [-12.7], 'param_47': [-40.8], 'param_48': [-16.1], 'param_49': [-32.2], 'param_5': [-242.3], 'param_50': [-7.3], 'param_51': [-146.3], 'param_52': [-133.8], 'param_53': [-151.6], 'param_6': [-154.6], 'param_7': [-168.6], 'param_8': [-190.4], 'param_9': [-4.5]}, 'run10': {'param_0': [-59.8], 'param_1': [-148.6], 'param_10': [-82.8], 'param_11': [-25.2], 'param_12': [-325.8], 'param_13': [-352.6], 'param_14': [-508.5], 'param_15': [-340.4], 'param_16': [-344.2], 'param_17': [-348.8], 'param_18': [-42.8], 'param_19': [-100.6], 'param_2': [-138.0], 'param_20': [-91.2], 'param_21': [-353.7], 'param_22': [-410.0], 'param_23': [-435.6], 'param_24': [-338.2], 'param_25': [-344.7], 'param_26': [-343.8], 'param_27': [-7.5], 'param_28': [-21.3], 'param_29': [-10.4], 'param_3': [-341.8], 'param_30': [-96.9], 'param_31': [-106.8], 'param_32': [-196.0], 'param_33': [-347.1], 'param_34': [-338.7], 'param_35': [-348.1], 'param_36': [-62.5], 'param_37': [-102.7], 'param_38': [-98.4], 'param_39': [-80.2], 'param_4': [-352.8], 'param_40': [-91.9], 'param_41': [-111.8], 'param_42': [-346.7], 'param_43': [-347.4], 'param_44': [-350.1], 'param_45': [-3.6], 'param_46': [-7.9], 'param_47': [-26.8], 'param_48': [-1.4], 'param_49': [-15.3], 'param_5': [-458.4], 'param_50': [-11.3], 'param_51': [-340.5], 'param_52': [-341.2], 'param_53': [-343.2], 'param_6': [-345.5], 'param_7': [-346.7], 'param_8': [-349.0], 'param_9': [-2.0]}, 'run11': {'param_0': [-49.4], 'param_1': [-45.9], 'param_10': [-23.6], 'param_11': [-42.8], 'param_12': [-359.7], 'param_13': [-393.5], 'param_14': [-537.1], 'param_15': [-375.7], 'param_16': [-374.9], 'param_17': [-378.1], 'param_18': [-42.3], 'param_19': [-58.4], 'param_2': [-51.4], 'param_20': [-65.0], 'param_21': [-278.2], 'param_22': [-294.1], 'param_23': [-305.4], 'param_24': [-369.3], 'param_25': [-374.5], 'param_26': [-384.0], 'param_27': [-3.0], 'param_28': [-17.4], 'param_29': [-17.8], 'param_3': [-364.0], 'param_30': [-20.6], 'param_31': [-81.7], 'param_32': [-115.2], 'param_33': [-368.9], 'param_34': [-374.0], 'param_35': [-379.5], 'param_36': [-32.7], 'param_37': [-48.4], 'param_38': [-43.7], 'param_39': [-54.2], 'param_4': [-405.1], 'param_40': [-57.7], 'param_41': [-73.1], 'param_42': [-388.2], 'param_43': [-386.5], 'param_44': [-389.3], 'param_45': [-2.4], 'param_46': [-4.0], 'param_47': [-7.3], 'param_48': [-2.3], 'param_49': [-6.1], 'param_5': [-503.9], 'param_50': [-11.4], 'param_51': [-380.3], 'param_52': [-375.7], 'param_53': [-361.4], 'param_6': [-366.2], 'param_7': [-376.4], 'param_8': [-382.4], 'param_9': [-2.8]}, 'run12': {'param_0': [-36.8], 'param_1': [-231.2], 'param_10': [-191.4], 'param_11': [-477.7], 'param_12': [-301.8], 'param_13': [-351.4], 'param_14': [-563.5], 'param_15': [-357.2], 'param_16': [-368.0], 'param_17': [-382.2], 'param_18': [-79.6], 'param_19': [-92.3], 'param_2': [-632.4], 'param_20': [-184.9], 'param_21': [-290.5], 'param_22': [-308.0], 'param_23': [-324.7], 'param_24': [-354.6], 'param_25': [-356.7], 'param_26': [-351.2], 'param_27': [-55.5], 'param_28': [-71.6], 'param_29': [-179.1], 'param_3': [-317.3], 'param_30': [-105.2], 'param_31': [-202.5], 'param_32': [-186.0], 'param_33': [-353.2], 'param_34': [-361.8], 'param_35': [-362.1], 'param_36': [-181.3], 'param_37': [-68.6], 'param_38': [-80.5], 'param_39': [-66.8], 'param_4': [-360.9], 'param_40': [-73.1], 'param_41': [-125.7], 'param_42': [-360.5], 'param_43': [-366.1], 'param_44': [-358.1], 'param_45': [-3.3], 'param_46': [-261.3], 'param_47': [-71.3], 'param_48': [-4.5], 'param_49': [-61.1], 'param_5': [-536.8], 'param_50': [-73.2], 'param_51': [-346.4], 'param_52': [-346.2], 'param_53': [-353.7], 'param_6': [-357.0], 'param_7': [-360.4], 'param_8': [-379.7], 'param_9': [-2.7]}, 'run13': {'param_0': [-87.9], 'param_1': [-1837.4], 'param_10': [-1274.4], 'param_11': [-1508.1], 'param_12': [-800.8], 'param_13': [-907.5], 'param_14': [-1192.6], 'param_15': [-882.1], 'param_16': [-899.3], 'param_17': [-927.8], 'param_18': [-584.6], 'param_19': [-1604.9], 'param_2': [-3047.6], 'param_20': [-1378.2], 'param_21': [-786.4], 'param_22': [-879.4], 'param_23': [-905.9], 'param_24': [-878.9], 'param_25': [-886.5], 'param_26': [-904.4], 'param_27': [-3.6], 'param_28': [-312.1], 'param_29': [-837.3], 'param_3': [-811.6], 'param_30': [-158.0], 'param_31': [-540.3], 'param_32': [-772.3], 'param_33': [-892.6], 'param_34': [-889.4], 'param_35': [-911.5], 'param_36': [-856.0], 'param_37': [-1338.6], 'param_38': [-1259.0], 'param_39': [-736.0], 'param_4': [-889.8], 'param_40': [-530.5], 'param_41': [-1532.4], 'param_42': [-899.6], 'param_43': [-914.9], 'param_44': [-922.9], 'param_45': [-3.3], 'param_46': [-917.5], 'param_47': [-411.4], 'param_48': [-2.2], 'param_49': [-606.8], 'param_5': [-1127.8], 'param_50': [-42.8], 'param_51': [-923.4], 'param_52': [-934.1], 'param_53': [-935.3], 'param_6': [-878.2], 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[-749.6], 'param_52': [-744.5], 'param_53': [-750.5], 'param_6': [-740.2], 'param_7': [-756.3], 'param_8': [-776.7], 'param_9': [-17.7]}, 'run9': {'param_0': [-314.5], 'param_1': [-1070.5], 'param_10': [-804.1], 'param_11': [-1028.2], 'param_12': [-631.8], 'param_13': [-696.2], 'param_14': [-900.5], 'param_15': [-847.1], 'param_16': [-871.7], 'param_17': [-890.4], 'param_18': [-351.8], 'param_19': [-1072.7], 'param_2': [-1057.0], 'param_20': [-1517.3], 'param_21': [-650.2], 'param_22': [-783.3], 'param_23': [-982.4], 'param_24': [-850.1], 'param_25': [-849.2], 'param_26': [-857.7], 'param_27': [-10.7], 'param_28': [-1358.8], 'param_29': [-590.4], 'param_3': [-627.7], 'param_30': [-634.0], 'param_31': [-835.8], 'param_32': [-913.1], 'param_33': [-852.3], 'param_34': [-863.3], 'param_35': [-865.1], 'param_36': [-1228.2], 'param_37': [-819.4], 'param_38': [-622.4], 'param_39': [-492.4], 'param_4': [-704.7], 'param_40': [-823.1], 'param_41': [-959.8], 'param_42': [-854.2], 'param_43': 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'param_48': [-2032.8], 'param_49': [-3191.7], 'param_5': [-1476.0], 'param_50': [-2490.9], 'param_51': [-807.2], 'param_52': [-803.8], 'param_53': [-817.4], 'param_6': [-799.4], 'param_7': [-826.2], 'param_8': [-897.4], 'param_9': [-633.7]}, 'run1': {'param_0': [-121.7], 'param_1': [-194.7], 'param_10': [-137.8], 'param_11': [-275.3], 'param_12': [-491.4], 'param_13': [-538.2], 'param_14': [-720.9], 'param_15': [-570.9], 'param_16': [-574.0], 'param_17': [-587.6], 'param_18': [-179.1], 'param_19': [-223.5], 'param_2': [-259.4], 'param_20': [-239.0], 'param_21': [-354.9], 'param_22': [-397.6], 'param_23': [-438.7], 'param_24': [-562.5], 'param_25': [-581.8], 'param_26': [-583.4], 'param_27': [-5.5], 'param_28': [-43.1], 'param_29': [-113.8], 'param_3': [-508.4], 'param_30': [-51.6], 'param_31': [-103.9], 'param_32': [-156.5], 'param_33': [-574.0], 'param_34': [-579.0], 'param_35': [-574.0], 'param_36': [-283.1], 'param_37': [-233.6], 'param_38': [-273.3], 'param_39': [-199.6], 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[-1383.4], 'param_14': [-1380.9], 'param_15': [-1654.6], 'param_16': [-1663.0], 'param_17': [-1711.1], 'param_18': [-5171.1], 'param_19': [-4541.5], 'param_2': [-1719.8], 'param_20': [-4077.7], 'param_21': [-2170.6], 'param_22': [-2375.3], 'param_23': [-2138.4], 'param_24': [-1650.1], 'param_25': [-1636.1], 'param_26': [-1680.3], 'param_27': [-3503.2], 'param_28': [-3290.4], 'param_29': [-3469.7], 'param_3': [-1367.9], 'param_30': [-2214.2], 'param_31': [-1897.4], 'param_32': [-2033.8], 'param_33': [-1629.3], 'param_34': [-1660.1], 'param_35': [-1659.1], 'param_36': [-5357.1], 'param_37': [-5430.5], 'param_38': [-5199.3], 'param_39': [-5556.2], 'param_4': [-1439.4], 'param_40': [-5193.6], 'param_41': [-5469.9], 'param_42': [-1671.8], 'param_43': [-1669.1], 'param_44': [-1669.3], 'param_45': [-4419.0], 'param_46': [-4859.8], 'param_47': [-2343.3], 'param_48': [-4720.7], 'param_49': [-3933.6], 'param_5': [-1430.6], 'param_50': [-3587.9], 'param_51': [-1598.8], 'param_52': [-1618.2], 'param_53': [-1601.0], 'param_6': [-1650.7], 'param_7': [-1669.1], 'param_8': [-1711.5], 'param_9': [-1034.4]}, 'run9': {'param_0': [-2114.3], 'param_1': [-1594.5], 'param_10': [-1391.8], 'param_11': [-2718.2], 'param_12': [-944.3], 'param_13': [-1050.2], 'param_14': [-1268.0], 'param_15': [-1229.9], 'param_16': [-1252.8], 'param_17': [-1310.9], 'param_18': [-4422.8], 'param_19': [-3437.9], 'param_2': [-1868.1], 'param_20': [-3143.5], 'param_21': [-2157.0], 'param_22': [-2030.3], 'param_23': [-1779.7], 'param_24': [-1224.0], 'param_25': [-1245.3], 'param_26': [-1252.0], 'param_27': [-2469.1], 'param_28': [-1814.4], 'param_29': [-2380.0], 'param_3': [-1006.1], 'param_30': [-1857.9], 'param_31': [-2001.0], 'param_32': [-1935.3], 'param_33': [-1232.7], 'param_34': [-1215.2], 'param_35': [-1237.9], 'param_36': [-3325.7], 'param_37': [-3926.2], 'param_38': [-3364.5], 'param_39': [-3775.3], 'param_4': [-1117.5], 'param_40': [-4422.4], 'param_41': [-4602.1], 'param_42': [-1255.9], 'param_43': [-1289.1], 'param_44': [-1275.4], 'param_45': [-3853.8], 'param_46': [-2965.2], 'param_47': [-2583.2], 'param_48': [-2374.5], 'param_49': [-2014.1], 'param_5': [-1321.7], 'param_50': [-2717.8], 'param_51': [-1226.1], 'param_52': [-1222.6], 'param_53': [-1209.4], 'param_6': [-1223.0], 'param_7': [-1257.3], 'param_8': [-1313.9], 'param_9': [-829.8]}}
# for numrun in range(30):
optimal_all = []
suboptimal_all = []
random_all = []
learning_all = []
for numrun in range(30):
for i in range(numrun, numrun+1):
for j in optimal_perf['run' + str(i)]:
optimal_all.append(optimal_perf['run' + str(i)][j][0])
for i in range(numrun, numrun+1):
for j in suboptimal_perf['run' + str(i)]:
suboptimal_all.append(suboptimal_perf['run' + str(i)][j][0])
for i in range(numrun, numrun+1):
for j in random_perf['run' + str(i)]:
random_all.append(random_perf['run' + str(i)][j][0])
for i in range(numrun, numrun+1):
for j in learning_perf['run' + str(i)]:
learning_all.append(learning_perf['run' + str(i)][j][0])
import matplotlib.pyplot as plt
plt.figure()
# plt.rcParams['figure.figsize'] = [10, 6]
fig, ax = plt.subplots(figsize=(6, 4.8))
plt.xlim([0.25, 2.25])
# plt.xticks([0.5, 1.0, 1.5, 2.0], ['random', 'suboptimal', 'optimal', 'true'])
plt.xticks([], [])
# plt.ylabel("Number of\nfailures", rotation=0, labelpad=45)
plt.ylabel("Number of failures", fontsize=20)
plt.ylim(0, 6000)
plt.yticks([0, 2000, 4000, 6000], [0, 2000, 4000, 6000], fontsize=15)
plt.tight_layout()
# colors = plt.rcParams['axes.prop_cycle'].by_key()['color']
for j in range(len(optimal_all)):
plt.scatter(0.5 + np.random.random()*0.1, -random_all[j], color='none', edgecolor=c_dict["Random policy"], s=6)
plt.scatter(1.0 + np.random.random()*0.1, -suboptimal_all[j], color='none', edgecolor=c_dict["Medium policy"], s=6)
plt.scatter(1.5 + np.random.random()*0.1, -optimal_all[j], color='none', edgecolor=c_dict["Near-optimal policy"], s=6)
# plt.scatter(0.5 + np.random.random()*0.1, -random_all[j], color='none', edgecolor=colors[0], s=6)
# plt.scatter(1.0 + np.random.random()*0.1, -suboptimal_all[j], color='none', edgecolor=colors[1], s=6)
# plt.scatter(1.5 + np.random.random()*0.1, -optimal_all[j], color='none', edgecolor=colors[2], s=6)
# # plt.scatter(2.0 + np.random.random()*0.1, -learning_all[j], color='none', edgecolor=colors[3], s=6)
for j in range(54):
plt.scatter(2.0 + np.random.random()*0.1, -true_perf['param_'+str(j)], color='none', edgecolor="black", s=6)
plt.savefig('../img/finalPlots/cartpole/plot4/plot4_waterfall.pdf',dpi=300, bbox_inches='tight')
plt.close()
info = {
"Random policy": {"color": c_dict["Random policy"], "style": "-"},
"Medium policy": {"color": c_dict["Medium policy"], "style": "-"},
"Near-optimal policy": {"color": c_dict["Near-optimal policy"], "style": "-"},
"Random selection": {"color": c_dict["Random"], "style": "-"},
"True performance": {"color": "black", "style": "-"},
}
draw_label(info, "../img/finalPlots/cartpole/plot4/plot4_waterfall", 5)
| 1,771.081395
| 37,270
| 0.554063
| 27,177
| 152,313
| 2.858925
| 0.117268
| 0.052512
| 0.002265
| 0.001133
| 0.034223
| 0.031636
| 0.01215
| 0.007323
| 0.007323
| 0.006603
| 0
| 0.305614
| 0.090957
| 152,313
| 85
| 37,271
| 1,791.917647
| 0.255541
| 0.019184
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| 0.074074
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| 0.348344
| 0.000669
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| false
| 0
| 0.111111
| 0
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| null | 0
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| 1
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| 1
| 1
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| null | 0
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| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
3066fe885387638aa9034830efb301e89b805e87
| 96
|
py
|
Python
|
pyfuzzysystem/variable/__init__.py
|
e1Ru1o/pyfuzzysystem
|
0da96fafd4bb7e5ed34730bb456ad78401e835dc
|
[
"MIT"
] | null | null | null |
pyfuzzysystem/variable/__init__.py
|
e1Ru1o/pyfuzzysystem
|
0da96fafd4bb7e5ed34730bb456ad78401e835dc
|
[
"MIT"
] | null | null | null |
pyfuzzysystem/variable/__init__.py
|
e1Ru1o/pyfuzzysystem
|
0da96fafd4bb7e5ed34730bb456ad78401e835dc
|
[
"MIT"
] | null | null | null |
from .fuzzy_var import FuzzyVariable
from .linguistic import LinguisticStatement, LinguisticVar
| 32
| 58
| 0.875
| 10
| 96
| 8.3
| 0.8
| 0
| 0
| 0
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| 0
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| 0
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| 0
| 0.09375
| 96
| 2
| 59
| 48
| 0.954023
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| true
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| null | 0
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| 1
| 0
| 0
| 0
|
0
| 4
|
0629e36f97bd2c68d3ac9dc7ec3c253d1253c15c
| 246
|
py
|
Python
|
locust/credentials.py
|
tojatos/laser-tactics
|
538bef7ab03bf35c0ef27e195001f6f7f12c1ba4
|
[
"MIT"
] | 2
|
2021-12-12T03:45:18.000Z
|
2021-12-21T03:53:23.000Z
|
locust/credentials.py
|
tojatos/laser-tactics
|
538bef7ab03bf35c0ef27e195001f6f7f12c1ba4
|
[
"MIT"
] | 1
|
2022-03-26T15:13:29.000Z
|
2022-03-26T15:13:29.000Z
|
locust/credentials.py
|
tojatos/laser-tactics
|
538bef7ab03bf35c0ef27e195001f6f7f12c1ba4
|
[
"MIT"
] | null | null | null |
USER_CREDENTIALS = [
("user1", "user1@example.com", "pass1"),
("user2", "user2@example.com", "pass2"),
("user3", "user3@example.com", "pass3"),
("user4", "user4@example.com", "pass4"),
("user5", "user5@example.com", "pass5")
]
| 35.142857
| 44
| 0.573171
| 27
| 246
| 5.185185
| 0.518519
| 0.357143
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.072115
| 0.154472
| 246
| 7
| 45
| 35.142857
| 0.600962
| 0
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| 0
| 0
| 0.546559
| 0
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| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0.714286
| 0
| 0
| 0
| 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
| 0
| 0
| 0
| 0
|
0
| 4
|
066871b08c7f5f91e8ab88b5fe0313e01938e6bb
| 973
|
py
|
Python
|
MiSiCgui/utils_gui.py
|
myepes2/MiSiCgui
|
a2e76568cf32d00813760e5793d606faf7049701
|
[
"MIT"
] | 3
|
2021-07-27T18:27:26.000Z
|
2021-09-13T19:50:37.000Z
|
MiSiCgui/utils_gui.py
|
myepes2/MiSiCgui
|
a2e76568cf32d00813760e5793d606faf7049701
|
[
"MIT"
] | 3
|
2021-09-28T07:48:02.000Z
|
2021-10-01T15:45:01.000Z
|
MiSiCgui/utils_gui.py
|
myepes2/MiSiCgui
|
a2e76568cf32d00813760e5793d606faf7049701
|
[
"MIT"
] | 2
|
2021-07-27T18:01:02.000Z
|
2021-07-27T18:27:28.000Z
|
# -*- coding: utf-8 -*-
import os, sys
from pathlib import Path
from skimage.io import imsave,imread
import skimage.io
from skimage.measure import label
#from skimage.external import tifffile as tifffile
import tiffile as tiffile
import numpy as np
#from skimage.transform import resize,rescale
#from skimage.filters import gaussian, laplace, threshold_otsu, median
#from skimage.util import random_noise,pad
#from skimage.feature import shape_index
#from skimage.feature import hessian_matrix, hessian_matrix_eigvals
#from skimage.exposure import adjust_gamma
#from tensorflow.keras.models import load_model
#from tensorflow.keras.utils import get_file
import napari
from napari.layers import Image
from magicgui import magicgui
from magicgui._qt.widgets import QDoubleSlider
from magicgui import event_loop, magicgui
from PyQt5.QtWidgets import QDoubleSpinBox
from PyQt5.QtCore import Qt
#import PIL
#from PIL.TiffTags import TAGS
#from MiSiC.MiSiC import *
pass
| 27.027778
| 70
| 0.825283
| 141
| 973
| 5.617021
| 0.489362
| 0.125
| 0.045455
| 0.060606
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| 0.003509
| 0.121274
| 973
| 36
| 71
| 27.027778
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| true
| 0.066667
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| 1
| 0
|
0
| 4
|
068ae8061211d9ca4bd7a9e767a7b1c87ec77275
| 203
|
py
|
Python
|
django_src/frontpage/views.py
|
jup014/Walk-Data-Processing
|
5951df6e467702ab0bc3c2721cb5457b0a074aa4
|
[
"MIT"
] | null | null | null |
django_src/frontpage/views.py
|
jup014/Walk-Data-Processing
|
5951df6e467702ab0bc3c2721cb5457b0a074aa4
|
[
"MIT"
] | null | null | null |
django_src/frontpage/views.py
|
jup014/Walk-Data-Processing
|
5951df6e467702ab0bc3c2721cb5457b0a074aa4
|
[
"MIT"
] | null | null | null |
from django.shortcuts import render
from django.views.generic import TemplateView
# Create your views here.
class FrontPageMainView(TemplateView):
template_name = 'frontpage/FrontPageMainView.html'
| 29
| 54
| 0.82266
| 23
| 203
| 7.217391
| 0.73913
| 0.120482
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| 0
| 0.1133
| 203
| 7
| 54
| 29
| 0.922222
| 0.1133
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| 0.178771
| 0.178771
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| 1
| 0
| 1
| 0
|
0
| 4
|
068f9effeb26b265da49d53d8edc9fb381347989
| 447
|
py
|
Python
|
bldr/cache/env.py
|
bldr-cmd/bldr-cmd
|
300750fbccc2987efd23f69b7b2d76d8563e2995
|
[
"Apache-2.0"
] | null | null | null |
bldr/cache/env.py
|
bldr-cmd/bldr-cmd
|
300750fbccc2987efd23f69b7b2d76d8563e2995
|
[
"Apache-2.0"
] | null | null | null |
bldr/cache/env.py
|
bldr-cmd/bldr-cmd
|
300750fbccc2987efd23f69b7b2d76d8563e2995
|
[
"Apache-2.0"
] | null | null | null |
import toml
def default(dotbldr_path: str) -> dict:
return toml.load(f"{dotbldr_path}/cache.toml")
def save_lock(dotbldr_path: str, lock_env: dict):
with open(f"{dotbldr_path}/cache.lock.toml", 'w') as toml_file:
return toml.dump(lock_env, toml_file)
def save_config(dotbldr_path: str, config_env: dict):
with open(f"{dotbldr_path}/cache.toml", 'w') as toml_file:
return toml.dump(config_env, toml_file)
| 37.25
| 67
| 0.691275
| 71
| 447
| 4.126761
| 0.309859
| 0.225256
| 0.143345
| 0.174061
| 0.488055
| 0.416382
| 0.416382
| 0.416382
| 0
| 0
| 0
| 0
| 0.174497
| 447
| 12
| 68
| 37.25
| 0.794038
| 0
| 0
| 0
| 0
| 0
| 0.183036
| 0.178571
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0
| 0.111111
| 0.111111
| 0.777778
| 0
| 0
| 0
| 0
| null | 1
| 0
| 1
| 0
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| 0
| 0
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| 0
| 0
| 0
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| 0
| 0
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| null | 0
| 0
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| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
|
0
| 4
|
0693f2ab1ebb0b659a7f9f5daf37b1b93a53442f
| 21
|
py
|
Python
|
tests/d_user_interface/install/__init__.py
|
jonathan-winn-geo/cmatools
|
ae044de4bd8f1f86814b07498e46b5a03837e679
|
[
"BSD-3-Clause"
] | null | null | null |
tests/d_user_interface/install/__init__.py
|
jonathan-winn-geo/cmatools
|
ae044de4bd8f1f86814b07498e46b5a03837e679
|
[
"BSD-3-Clause"
] | 3
|
2020-05-13T10:30:38.000Z
|
2020-05-13T10:32:30.000Z
|
tests/d_user_interface/install/__init__.py
|
jonathan-winn-geo/cmatools
|
ae044de4bd8f1f86814b07498e46b5a03837e679
|
[
"BSD-3-Clause"
] | 1
|
2020-07-02T16:58:06.000Z
|
2020-07-02T16:58:06.000Z
|
"""Install tests."""
| 10.5
| 20
| 0.571429
| 2
| 21
| 6
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| 0.095238
| 21
| 1
| 21
| 21
| 0.631579
| 0.666667
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 1
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| null | 0
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| null | 0
| 0
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| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
230287a0bd7f06f271f57a6f0cf0594f25bd66ad
| 141
|
py
|
Python
|
python/core/auto_additions/qgsmaplayermodel.py
|
dyna-mis/Hilabeling
|
cb7d5d4be29624a20c8a367162dbc6fd779b2b52
|
[
"MIT"
] | null | null | null |
python/core/auto_additions/qgsmaplayermodel.py
|
dyna-mis/Hilabeling
|
cb7d5d4be29624a20c8a367162dbc6fd779b2b52
|
[
"MIT"
] | null | null | null |
python/core/auto_additions/qgsmaplayermodel.py
|
dyna-mis/Hilabeling
|
cb7d5d4be29624a20c8a367162dbc6fd779b2b52
|
[
"MIT"
] | 1
|
2021-12-25T08:40:30.000Z
|
2021-12-25T08:40:30.000Z
|
# The following has been generated automatically from src/core/qgsmaplayermodel.h
QgsMapLayerModel.ItemDataRole.baseClass = QgsMapLayerModel
| 47
| 81
| 0.865248
| 15
| 141
| 8.133333
| 0.866667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.085106
| 141
| 2
| 82
| 70.5
| 0.945736
| 0.560284
| 0
| 0
| 1
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0
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| 0
| null | 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
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| 0
| 0
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| 0
| 0
| null | 0
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| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
23125db4202c9ebfda3b79fadc82e27e42ab32a4
| 111
|
py
|
Python
|
notifeed/__main__.py
|
loganswartz/notifeed
|
befbb82145a654796d14d24b1b49b817abfebb59
|
[
"MIT"
] | 1
|
2021-08-02T04:49:47.000Z
|
2021-08-02T04:49:47.000Z
|
notifeed/__main__.py
|
loganswartz/notifeed
|
befbb82145a654796d14d24b1b49b817abfebb59
|
[
"MIT"
] | null | null | null |
notifeed/__main__.py
|
loganswartz/notifeed
|
befbb82145a654796d14d24b1b49b817abfebb59
|
[
"MIT"
] | null | null | null |
#!/usr/bin/env python3
from notifeed.cli import cli
if __name__ == "__main__":
cli(prog_name="notifeed")
| 15.857143
| 29
| 0.702703
| 16
| 111
| 4.3125
| 0.75
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.010638
| 0.153153
| 111
| 6
| 30
| 18.5
| 0.723404
| 0.189189
| 0
| 0
| 0
| 0
| 0.179775
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.333333
| 0
| 0.333333
| 0
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| 0
| null | 0
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| 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
| 4
|
2329f7e7434b3ceca1440bbd98ea8b9312e652f3
| 218
|
py
|
Python
|
hedwig/testing/config.py
|
cloudchacho/hedwig-python
|
1e4ca5472fe661ffd9d3cedd10a9ddc2daa0926b
|
[
"Apache-2.0"
] | null | null | null |
hedwig/testing/config.py
|
cloudchacho/hedwig-python
|
1e4ca5472fe661ffd9d3cedd10a9ddc2daa0926b
|
[
"Apache-2.0"
] | 3
|
2021-06-25T20:52:50.000Z
|
2021-11-30T16:22:30.000Z
|
hedwig/testing/config.py
|
cloudchacho/hedwig-python
|
1e4ca5472fe661ffd9d3cedd10a9ddc2daa0926b
|
[
"Apache-2.0"
] | null | null | null |
from hedwig.conf import settings
def unconfigure() -> None:
"""
If settings were configured, un-configure them - useful for testing only.
"""
settings.clear_cache()
settings._user_settings = None
| 21.8
| 77
| 0.688073
| 26
| 218
| 5.653846
| 0.807692
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.215596
| 218
| 9
| 78
| 24.222222
| 0.859649
| 0.334862
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| true
| 0
| 0.25
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
236a723d44825f833083ff3e7abae074a70abd3d
| 106
|
py
|
Python
|
authlib/integrations/asgi_client/__init__.py
|
jonathanunderwood/authlib
|
3834a2a80876a87cdaab4240d77185179970c3ab
|
[
"BSD-3-Clause"
] | null | null | null |
authlib/integrations/asgi_client/__init__.py
|
jonathanunderwood/authlib
|
3834a2a80876a87cdaab4240d77185179970c3ab
|
[
"BSD-3-Clause"
] | null | null | null |
authlib/integrations/asgi_client/__init__.py
|
jonathanunderwood/authlib
|
3834a2a80876a87cdaab4240d77185179970c3ab
|
[
"BSD-3-Clause"
] | null | null | null |
from .oauth_registry import OAuth
from .base_app import AsyncBaseApp
__all__ = ['OAuth', 'AsyncBaseApp']
| 21.2
| 35
| 0.783019
| 13
| 106
| 5.923077
| 0.615385
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.122642
| 106
| 4
| 36
| 26.5
| 0.827957
| 0
| 0
| 0
| 0
| 0
| 0.160377
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.666667
| 0
| 0.666667
| 0
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| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
2371dec969134c4d159ee1620dca06d7b4c4adb1
| 49
|
py
|
Python
|
tests/lambda.py
|
MarcoQin/python-lua
|
0a93d3841860547a101068d4895bfa743f45c67d
|
[
"Apache-2.0"
] | 69
|
2020-02-23T11:20:18.000Z
|
2022-03-14T06:10:40.000Z
|
tests/lambda.py
|
lumimyrsky/python-lua
|
80b41381057a5c01793c1bc5beed0d6a1678349a
|
[
"Apache-2.0"
] | 5
|
2017-03-14T07:41:46.000Z
|
2018-12-14T07:52:27.000Z
|
tests/lambda.py
|
lumimyrsky/python-lua
|
80b41381057a5c01793c1bc5beed0d6a1678349a
|
[
"Apache-2.0"
] | 15
|
2020-03-29T17:54:41.000Z
|
2022-03-15T06:22:01.000Z
|
sqr = lambda x: x * x
print(sqr(2))
print(sqr(8))
| 16.333333
| 21
| 0.612245
| 11
| 49
| 2.727273
| 0.545455
| 0.133333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.04878
| 0.163265
| 49
| 3
| 22
| 16.333333
| 0.682927
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0.666667
| 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
| 0
| 0
| 0
| 0
| 0
| 1
|
0
| 4
|
238113538fde0d1987f60b201443354badd89355
| 7,068
|
py
|
Python
|
Grammar/DecafVisitor.py
|
alv16106/DecafCompiler
|
cc77707c4e35fcc29ed5b03eadd4f504ad5ed57e
|
[
"MIT"
] | null | null | null |
Grammar/DecafVisitor.py
|
alv16106/DecafCompiler
|
cc77707c4e35fcc29ed5b03eadd4f504ad5ed57e
|
[
"MIT"
] | null | null | null |
Grammar/DecafVisitor.py
|
alv16106/DecafCompiler
|
cc77707c4e35fcc29ed5b03eadd4f504ad5ed57e
|
[
"MIT"
] | null | null | null |
# Generated from Decaf.g4 by ANTLR 4.8
from antlr4 import *
if __name__ is not None and "." in __name__:
from .DecafParser import DecafParser
else:
from DecafParser import DecafParser
# This class defines a complete generic visitor for a parse tree produced by DecafParser.
class DecafVisitor(ParseTreeVisitor):
# Visit a parse tree produced by DecafParser#program.
def visitProgram(self, ctx:DecafParser.ProgramContext):
return self.visitChildren(ctx)
# Visit a parse tree produced by DecafParser#declaration.
def visitDeclaration(self, ctx:DecafParser.DeclarationContext):
return self.visitChildren(ctx)
# Visit a parse tree produced by DecafParser#singleVar.
def visitSingleVar(self, ctx:DecafParser.SingleVarContext):
return self.visitChildren(ctx)
# Visit a parse tree produced by DecafParser#listVar.
def visitListVar(self, ctx:DecafParser.ListVarContext):
return self.visitChildren(ctx)
# Visit a parse tree produced by DecafParser#structDeclaration.
def visitStructDeclaration(self, ctx:DecafParser.StructDeclarationContext):
return self.visitChildren(ctx)
# Visit a parse tree produced by DecafParser#structInstantiation.
def visitStructInstantiation(self, ctx:DecafParser.StructInstantiationContext):
return self.visitChildren(ctx)
# Visit a parse tree produced by DecafParser#varType.
def visitVarType(self, ctx:DecafParser.VarTypeContext):
return self.visitChildren(ctx)
# Visit a parse tree produced by DecafParser#methodDeclaration.
def visitMethodDeclaration(self, ctx:DecafParser.MethodDeclarationContext):
return self.visitChildren(ctx)
# Visit a parse tree produced by DecafParser#methodType.
def visitMethodType(self, ctx:DecafParser.MethodTypeContext):
return self.visitChildren(ctx)
# Visit a parse tree produced by DecafParser#parameter.
def visitParameter(self, ctx:DecafParser.ParameterContext):
return self.visitChildren(ctx)
# Visit a parse tree produced by DecafParser#parameterType.
def visitParameterType(self, ctx:DecafParser.ParameterTypeContext):
return self.visitChildren(ctx)
# Visit a parse tree produced by DecafParser#block.
def visitBlock(self, ctx:DecafParser.BlockContext):
return self.visitChildren(ctx)
# Visit a parse tree produced by DecafParser#statement.
def visitStatement(self, ctx:DecafParser.StatementContext):
return self.visitChildren(ctx)
# Visit a parse tree produced by DecafParser#ifStmt.
def visitIfStmt(self, ctx:DecafParser.IfStmtContext):
return self.visitChildren(ctx)
# Visit a parse tree produced by DecafParser#whileStmt.
def visitWhileStmt(self, ctx:DecafParser.WhileStmtContext):
return self.visitChildren(ctx)
# Visit a parse tree produced by DecafParser#assignStmt.
def visitAssignStmt(self, ctx:DecafParser.AssignStmtContext):
return self.visitChildren(ctx)
# Visit a parse tree produced by DecafParser#returnStmt.
def visitReturnStmt(self, ctx:DecafParser.ReturnStmtContext):
return self.visitChildren(ctx)
# Visit a parse tree produced by DecafParser#location.
def visitLocation(self, ctx:DecafParser.LocationContext):
return self.visitChildren(ctx)
# Visit a parse tree produced by DecafParser#relationOp.
def visitRelationOp(self, ctx:DecafParser.RelationOpContext):
return self.visitChildren(ctx)
# Visit a parse tree produced by DecafParser#methodCallExpr.
def visitMethodCallExpr(self, ctx:DecafParser.MethodCallExprContext):
return self.visitChildren(ctx)
# Visit a parse tree produced by DecafParser#conditionalOp.
def visitConditionalOp(self, ctx:DecafParser.ConditionalOpContext):
return self.visitChildren(ctx)
# Visit a parse tree produced by DecafParser#negationExpr.
def visitNegationExpr(self, ctx:DecafParser.NegationExprContext):
return self.visitChildren(ctx)
# Visit a parse tree produced by DecafParser#locationExpr.
def visitLocationExpr(self, ctx:DecafParser.LocationExprContext):
return self.visitChildren(ctx)
# Visit a parse tree produced by DecafParser#equalityOp.
def visitEqualityOp(self, ctx:DecafParser.EqualityOpContext):
return self.visitChildren(ctx)
# Visit a parse tree produced by DecafParser#literalExpr.
def visitLiteralExpr(self, ctx:DecafParser.LiteralExprContext):
return self.visitChildren(ctx)
# Visit a parse tree produced by DecafParser#negativeExpr.
def visitNegativeExpr(self, ctx:DecafParser.NegativeExprContext):
return self.visitChildren(ctx)
# Visit a parse tree produced by DecafParser#parentExpr.
def visitParentExpr(self, ctx:DecafParser.ParentExprContext):
return self.visitChildren(ctx)
# Visit a parse tree produced by DecafParser#higherArithOp.
def visitHigherArithOp(self, ctx:DecafParser.HigherArithOpContext):
return self.visitChildren(ctx)
# Visit a parse tree produced by DecafParser#arithOp.
def visitArithOp(self, ctx:DecafParser.ArithOpContext):
return self.visitChildren(ctx)
# Visit a parse tree produced by DecafParser#methodCall.
def visitMethodCall(self, ctx:DecafParser.MethodCallContext):
return self.visitChildren(ctx)
# Visit a parse tree produced by DecafParser#arg.
def visitArg(self, ctx:DecafParser.ArgContext):
return self.visitChildren(ctx)
# Visit a parse tree produced by DecafParser#higher_arith_op.
def visitHigher_arith_op(self, ctx:DecafParser.Higher_arith_opContext):
return self.visitChildren(ctx)
# Visit a parse tree produced by DecafParser#arith_op.
def visitArith_op(self, ctx:DecafParser.Arith_opContext):
return self.visitChildren(ctx)
# Visit a parse tree produced by DecafParser#rel_op.
def visitRel_op(self, ctx:DecafParser.Rel_opContext):
return self.visitChildren(ctx)
# Visit a parse tree produced by DecafParser#eq_op.
def visitEq_op(self, ctx:DecafParser.Eq_opContext):
return self.visitChildren(ctx)
# Visit a parse tree produced by DecafParser#cond_op.
def visitCond_op(self, ctx:DecafParser.Cond_opContext):
return self.visitChildren(ctx)
# Visit a parse tree produced by DecafParser#literal.
def visitLiteral(self, ctx:DecafParser.LiteralContext):
return self.visitChildren(ctx)
# Visit a parse tree produced by DecafParser#int_literal.
def visitInt_literal(self, ctx:DecafParser.Int_literalContext):
return self.visitChildren(ctx)
# Visit a parse tree produced by DecafParser#char_literal.
def visitChar_literal(self, ctx:DecafParser.Char_literalContext):
return self.visitChildren(ctx)
# Visit a parse tree produced by DecafParser#bool_literal.
def visitBool_literal(self, ctx:DecafParser.Bool_literalContext):
return self.visitChildren(ctx)
del DecafParser
| 33.183099
| 89
| 0.74618
| 794
| 7,068
| 6.598237
| 0.192695
| 0.046956
| 0.078259
| 0.140867
| 0.500477
| 0.492842
| 0.486925
| 0.480053
| 0.480053
| 0.480053
| 0
| 0.000693
| 0.183786
| 7,068
| 213
| 90
| 33.183099
| 0.907436
| 0.323571
| 0
| 0.45977
| 1
| 0
| 0.000213
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.45977
| false
| 0
| 0.034483
| 0.45977
| 0.965517
| 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
| 0
| 0
| 1
| 1
| 0
|
0
| 4
|
00161f7b442a2a42f72cd11e9ea3e223e83bf41d
| 238
|
py
|
Python
|
server/src/cache/cache_client.py
|
Sheerabth/blob-system
|
808f1591247fecace4cbd121053d79205096ced3
|
[
"MIT"
] | null | null | null |
server/src/cache/cache_client.py
|
Sheerabth/blob-system
|
808f1591247fecace4cbd121053d79205096ced3
|
[
"MIT"
] | null | null | null |
server/src/cache/cache_client.py
|
Sheerabth/blob-system
|
808f1591247fecace4cbd121053d79205096ced3
|
[
"MIT"
] | null | null | null |
from redis import Redis, ConnectionPool
from src.config import REDIS_HOST, REDIS_PORT, REDIS_DB
pool = ConnectionPool(host=REDIS_HOST, port=REDIS_PORT, db=REDIS_DB)
def get_connection() -> Redis:
return Redis(connection_pool=pool)
| 26.444444
| 68
| 0.794118
| 35
| 238
| 5.171429
| 0.4
| 0.121547
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.121849
| 238
| 8
| 69
| 29.75
| 0.866029
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.2
| false
| 0
| 0.4
| 0.2
| 0.8
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
|
0
| 4
|
002b0bee1f4a7e3d5c26a3492bec9aab091f05d3
| 83
|
py
|
Python
|
bgmi3/db/__init__.py
|
BGmi/BGmi-NG
|
33728bb4584dfc1049e733709aa7c2dbc1310297
|
[
"MIT"
] | 1
|
2020-03-09T20:50:30.000Z
|
2020-03-09T20:50:30.000Z
|
bgmi3/db/__init__.py
|
BGmi/BGmi-NG
|
33728bb4584dfc1049e733709aa7c2dbc1310297
|
[
"MIT"
] | 35
|
2020-03-25T10:33:53.000Z
|
2021-10-18T22:59:22.000Z
|
bgmi3/db/__init__.py
|
Trim21/BGmi-NG
|
e7aa9092846386c976aca97ee6a8c645bc24fc67
|
[
"MIT"
] | 1
|
2020-05-16T07:59:08.000Z
|
2020-05-16T07:59:08.000Z
|
from bgmi3.db.table import Base, metadata
__all__ = ["Base", "metadata", "table"]
| 20.75
| 41
| 0.698795
| 11
| 83
| 4.909091
| 0.727273
| 0.444444
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.013889
| 0.13253
| 83
| 3
| 42
| 27.666667
| 0.736111
| 0
| 0
| 0
| 0
| 0
| 0.204819
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.5
| 0
| 0.5
| 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
| 0
| 0
|
0
| 4
|
004076ff0f058a8c2ddf67128a7256cd948ef0c5
| 271
|
py
|
Python
|
src/util.py
|
teaho2015-blog/nba_stat
|
bbf870c3d8abb83c6c82b004a762feed5d7b746b
|
[
"Apache-2.0"
] | null | null | null |
src/util.py
|
teaho2015-blog/nba_stat
|
bbf870c3d8abb83c6c82b004a762feed5d7b746b
|
[
"Apache-2.0"
] | null | null | null |
src/util.py
|
teaho2015-blog/nba_stat
|
bbf870c3d8abb83c6c82b004a762feed5d7b746b
|
[
"Apache-2.0"
] | null | null | null |
import math
from decimal import Decimal
def takeWin(elem):
return elem['win']
def takeGDP(elem):
gdp_str = str(elem['gdp'])
num = Decimal(gdp_str[0:gdp_str.index('E')]) * Decimal(math.pow(10, int(gdp_str[gdp_str.index('E')+1:len(gdp_str)])))
return num
| 24.636364
| 121
| 0.671587
| 46
| 271
| 3.826087
| 0.456522
| 0.204545
| 0.125
| 0.136364
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.017391
| 0.151292
| 271
| 11
| 122
| 24.636364
| 0.747826
| 0
| 0
| 0
| 0
| 0
| 0.029412
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0
| 0.25
| 0.125
| 0.75
| 0
| 0
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 4
|
00412ac42185afdd0301076d696e0347622e0103
| 98
|
py
|
Python
|
src/app/models/cluster_payload.py
|
n-gibs/fast-api-clustering
|
bab0a567a40559a60ba0cd7b9234ff253b294012
|
[
"Apache-2.0"
] | null | null | null |
src/app/models/cluster_payload.py
|
n-gibs/fast-api-clustering
|
bab0a567a40559a60ba0cd7b9234ff253b294012
|
[
"Apache-2.0"
] | null | null | null |
src/app/models/cluster_payload.py
|
n-gibs/fast-api-clustering
|
bab0a567a40559a60ba0cd7b9234ff253b294012
|
[
"Apache-2.0"
] | null | null | null |
from pydantic import BaseModel
class CustomerSegmentationPayload(BaseModel):
table_name: str
| 19.6
| 45
| 0.826531
| 10
| 98
| 8
| 0.9
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.132653
| 98
| 4
| 46
| 24.5
| 0.941176
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.333333
| 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
| 0
| 0
|
0
| 4
|
cc416ac5673ff40a915cb0958d79bc0129ef8a53
| 800
|
py
|
Python
|
set_config/online.py
|
huachao2017/goodsdl
|
3616d53b90696a97a5d56a064e2a14d484b821d7
|
[
"Apache-2.0"
] | 3
|
2018-10-16T09:36:12.000Z
|
2019-04-15T03:12:49.000Z
|
set_config/online.py
|
huachao2017/goodsdl
|
3616d53b90696a97a5d56a064e2a14d484b821d7
|
[
"Apache-2.0"
] | null | null | null |
set_config/online.py
|
huachao2017/goodsdl
|
3616d53b90696a97a5d56a064e2a14d484b821d7
|
[
"Apache-2.0"
] | null | null | null |
#########################################YOLOV3##################################################################
yolov3_params={
'good_model_path' :'/home/ai/model/freezer/ep3587-loss46.704-val_loss52.474.h5',
'anchors_path' :'./goods/freezer/keras_yolo3/model_data/yolo_anchors.txt',
'classes_path' : './goods/freezer/keras_yolo3/model_data/voc_classes.txt',
'label_path':'./goods/freezer/keras_yolo3/model_data/goods_label_map.pbtxt',
'score' :0.1,
'iou' :0.45,
'model_image_size' : (416, 416),
'gpu_num' : 1,
"diff_switch_iou":(True,0.6),
"single_switch_iou_minscore":(True,0.0,0.3)
}
######################################common#####################################################################
common_params={
'freezer_check_yolov3_switch':True
}
| 44.444444
| 113
| 0.515
| 88
| 800
| 4.352273
| 0.522727
| 0.070496
| 0.125326
| 0.164491
| 0.274151
| 0.274151
| 0.274151
| 0
| 0
| 0
| 0
| 0.053571
| 0.09
| 800
| 18
| 114
| 44.444444
| 0.472527
| 0.015
| 0
| 0
| 0
| 0
| 0.652174
| 0.486957
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
cc4452bd048f6c1054d1affaf515145fb2a03aa8
| 336
|
py
|
Python
|
hautomation_restclient/__init__.py
|
jpardobl/hautomation_restclient
|
eb59e587836276435934a5c6ff820dee74e25c7b
|
[
"BSD-3-Clause"
] | 2
|
2015-05-18T13:49:46.000Z
|
2015-05-18T14:16:52.000Z
|
hautomation_restclient/__init__.py
|
jpardobl/hautomation_restclient
|
eb59e587836276435934a5c6ff820dee74e25c7b
|
[
"BSD-3-Clause"
] | null | null | null |
hautomation_restclient/__init__.py
|
jpardobl/hautomation_restclient
|
eb59e587836276435934a5c6ff820dee74e25c7b
|
[
"BSD-3-Clause"
] | null | null | null |
class RestApiException(Exception):
def __init__(self, message, status_code):
super(RestApiException, self).__init__(message)
self.status_code = status_code
self.message = message
def __unicode__(self, ):
return "%s" % self.message
def __repr__(self, ):
return "%s" % self.message
| 24
| 55
| 0.642857
| 36
| 336
| 5.472222
| 0.388889
| 0.22335
| 0.111675
| 0.152284
| 0.22335
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.25
| 336
| 13
| 56
| 25.846154
| 0.781746
| 0
| 0
| 0.222222
| 0
| 0
| 0.011976
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0
| 0
| 0.222222
| 0.666667
| 0
| 0
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 4
|
cc765c14e0805f70def5013e66387571dbbfdf5c
| 84
|
py
|
Python
|
Examples/AppKit/FieldGraph/Main.py
|
Khan/pyobjc-framework-Cocoa
|
f8b015ea2a72d8d78be6084fb12925c4785b8f1f
|
[
"MIT"
] | 132
|
2015-01-01T10:02:42.000Z
|
2022-03-09T12:51:01.000Z
|
mac/pyobjc-framework-Cocoa/Examples/AppKit/FieldGraph/Main.py
|
mba811/music-player
|
7998986b34cfda2244ef622adefb839331b81a81
|
[
"BSD-2-Clause"
] | 6
|
2015-01-06T08:23:19.000Z
|
2019-03-14T12:22:06.000Z
|
mac/pyobjc-framework-Cocoa/Examples/AppKit/FieldGraph/Main.py
|
mba811/music-player
|
7998986b34cfda2244ef622adefb839331b81a81
|
[
"BSD-2-Clause"
] | 27
|
2015-02-23T11:51:43.000Z
|
2022-03-07T02:34:18.000Z
|
from PyObjCTools import AppHelper
import CGraphController
AppHelper.runEventLoop()
| 16.8
| 33
| 0.869048
| 8
| 84
| 9.125
| 0.75
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.095238
| 84
| 4
| 34
| 21
| 0.960526
| 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
| 0
| 0
|
0
| 4
|
cc9b52df0a41129948cb7b81fde94bed909a608a
| 95
|
py
|
Python
|
prometheus/apps.py
|
harshittrivedi78/prometheus_python
|
0d1be5c734ceb36b05ef1fbb7901d0910f13410f
|
[
"Apache-2.0"
] | 1
|
2020-10-30T03:03:46.000Z
|
2020-10-30T03:03:46.000Z
|
prometheus/apps.py
|
harshittrivedi78/prometheus_python
|
0d1be5c734ceb36b05ef1fbb7901d0910f13410f
|
[
"Apache-2.0"
] | 1
|
2021-09-07T09:41:26.000Z
|
2021-09-07T09:41:26.000Z
|
prometheus/apps.py
|
harshittrivedi78/prometheus_python
|
0d1be5c734ceb36b05ef1fbb7901d0910f13410f
|
[
"Apache-2.0"
] | 2
|
2020-10-30T03:03:54.000Z
|
2021-09-07T08:39:45.000Z
|
from django.apps import AppConfig
class PrometheusConfig(AppConfig):
name = 'prometheus'
| 15.833333
| 34
| 0.768421
| 10
| 95
| 7.3
| 0.9
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.157895
| 95
| 5
| 35
| 19
| 0.9125
| 0
| 0
| 0
| 0
| 0
| 0.105263
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 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
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
4e14285c58ccd381ab8efc5e9c48b6b3aac7299e
| 1,149
|
py
|
Python
|
music_site/employees/models.py
|
UVG-Teams/music-space
|
8f464b6b1cbe59afea3be3ab1b9ed4e25ab0b424
|
[
"MIT"
] | null | null | null |
music_site/employees/models.py
|
UVG-Teams/music-space
|
8f464b6b1cbe59afea3be3ab1b9ed4e25ab0b424
|
[
"MIT"
] | null | null | null |
music_site/employees/models.py
|
UVG-Teams/music-space
|
8f464b6b1cbe59afea3be3ab1b9ed4e25ab0b424
|
[
"MIT"
] | null | null | null |
from django.db import models
#Employee
class Employee(models.Model):
employeeid = models.IntegerField(primary_key=True, blank=False, null=False)
lastname = models.CharField(max_length=20, blank=False, null=False)
firstname = models.CharField(max_length=20, blank=False, null=False)
title = models.CharField(max_length=30)
birthdate = models.DateTimeField()
hiredate = models.DateTimeField()
address = models.CharField(max_length=70)
city = models.CharField(max_length=40)
state = models.CharField(max_length=40)
country = models.CharField(max_length=40)
postalcode = models.CharField(max_length=10)
phone = models.CharField(max_length=24)
fax = models.CharField(max_length=24)
email = models.CharField(max_length=60)
reportsto = models.ForeignKey("employees.Employee", on_delete=models.SET_NULL, blank=True, null=True, db_column="reportsto")
class Meta:
db_table = 'employee'
def __str__(self):
return "{id} - {firstname} {lastname}".format(
id = self.employeeid,
firstname = self.firstname,
lastname = self.lastname
)
| 39.62069
| 128
| 0.699739
| 139
| 1,149
| 5.640288
| 0.395683
| 0.210459
| 0.252551
| 0.336735
| 0.280612
| 0.114796
| 0.114796
| 0.114796
| 0.114796
| 0
| 0
| 0.023529
| 0.186249
| 1,149
| 29
| 129
| 39.62069
| 0.814973
| 0.006963
| 0
| 0
| 0
| 0
| 0.056091
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.04
| false
| 0
| 0.04
| 0.04
| 0.8
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 4
|
4e1d391ea28012d9fd34805d760fc014e6db66c3
| 207
|
py
|
Python
|
tests/error/toomany_args02.py
|
ktok07b6/polyphony
|
657c5c7440520db6b4985970bd50547407693ac4
|
[
"MIT"
] | 83
|
2015-11-30T09:59:13.000Z
|
2021-08-03T09:12:28.000Z
|
tests/error/toomany_args02.py
|
jesseclin/polyphony
|
657c5c7440520db6b4985970bd50547407693ac4
|
[
"MIT"
] | 4
|
2017-02-10T01:43:11.000Z
|
2020-07-14T03:52:25.000Z
|
tests/error/toomany_args02.py
|
jesseclin/polyphony
|
657c5c7440520db6b4985970bd50547407693ac4
|
[
"MIT"
] | 11
|
2016-11-18T14:39:15.000Z
|
2021-02-23T10:05:20.000Z
|
#toomany_args02() takes 2 positional arguments but 3 were given
from polyphony import testbench
def toomany_args02(x=0, y=0):
return x + y
@testbench
def test():
toomany_args02(1, 2, 3)
test()
| 13.8
| 63
| 0.705314
| 33
| 207
| 4.333333
| 0.636364
| 0.272727
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.078313
| 0.198068
| 207
| 14
| 64
| 14.785714
| 0.783133
| 0.299517
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.285714
| false
| 0
| 0.142857
| 0.142857
| 0.571429
| 0
| 0
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 4
|
4e3bdce7f6a4446e841d6e2009a6fe91caaad7ff
| 35
|
py
|
Python
|
AtCoder/ABC/190-199/ABC196_B.py
|
sireline/PyCode
|
8578467710c3c1faa89499f5d732507f5d9a584c
|
[
"MIT"
] | null | null | null |
AtCoder/ABC/190-199/ABC196_B.py
|
sireline/PyCode
|
8578467710c3c1faa89499f5d732507f5d9a584c
|
[
"MIT"
] | null | null | null |
AtCoder/ABC/190-199/ABC196_B.py
|
sireline/PyCode
|
8578467710c3c1faa89499f5d732507f5d9a584c
|
[
"MIT"
] | null | null | null |
X = input().split('.')
print(X[0])
| 11.666667
| 22
| 0.514286
| 6
| 35
| 3
| 0.833333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.032258
| 0.114286
| 35
| 2
| 23
| 17.5
| 0.548387
| 0
| 0
| 0
| 0
| 0
| 0.028571
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0.5
| 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
| 0
| 0
| 0
| 0
| 0
| 1
|
0
| 4
|
9dbd1719dc957e910f139ba74c6b37e6f23ba88e
| 3,851
|
py
|
Python
|
tests/test_compare_module.py
|
jotelha/dtoolcore
|
6aff99531d1192f86512f662caf22a6ecd2198a5
|
[
"MIT"
] | 5
|
2018-09-27T15:46:37.000Z
|
2022-02-15T09:13:26.000Z
|
tests/test_compare_module.py
|
jotelha/dtoolcore
|
6aff99531d1192f86512f662caf22a6ecd2198a5
|
[
"MIT"
] | 23
|
2017-09-22T12:03:31.000Z
|
2022-03-20T11:41:23.000Z
|
tests/test_compare_module.py
|
jotelha/dtoolcore
|
6aff99531d1192f86512f662caf22a6ecd2198a5
|
[
"MIT"
] | 4
|
2017-12-13T08:31:07.000Z
|
2022-03-10T09:58:21.000Z
|
"""Test the compare module."""
import os
from . import uri_to_path
from . import tmp_uri_fixture # NOQA
def create_test_files(uri):
fpaths = dict()
for word in ["he", "she", "cat"]:
fpath = os.path.join(uri_to_path(uri), word + ".txt")
with open(fpath, "w") as fh:
fh.write(word)
fpaths[word] = fpath
return fpaths
def test_diff_identifiers(tmp_uri_fixture): # NOQA
from dtoolcore import (
DataSet,
generate_admin_metadata,
generate_proto_dataset,
)
from dtoolcore.utils import generate_identifier
from dtoolcore.compare import diff_identifiers
fpaths = create_test_files(tmp_uri_fixture)
proto_ds_a = generate_proto_dataset(
admin_metadata=generate_admin_metadata("test_compare_1"),
base_uri=tmp_uri_fixture
)
proto_ds_a.create()
proto_ds_a.put_item(fpaths["cat"], "a.txt")
proto_ds_a.freeze()
proto_ds_b = generate_proto_dataset(
admin_metadata=generate_admin_metadata("test_compare_2"),
base_uri=tmp_uri_fixture
)
proto_ds_b.create()
proto_ds_b.put_item(fpaths["cat"], "b.txt")
proto_ds_b.freeze()
ds_a = DataSet.from_uri(proto_ds_a.uri)
ds_b = DataSet.from_uri(proto_ds_b.uri)
assert diff_identifiers(ds_a, ds_a) == []
expected = [
(generate_identifier("a.txt"), True, False),
(generate_identifier("b.txt"), False, True)
]
assert diff_identifiers(ds_a, ds_b) == expected
def test_diff_sizes(tmp_uri_fixture): # NOQA
from dtoolcore import (
DataSet,
generate_admin_metadata,
generate_proto_dataset,
)
from dtoolcore.utils import generate_identifier
from dtoolcore.compare import diff_sizes
fpaths = create_test_files(tmp_uri_fixture)
proto_ds_a = generate_proto_dataset(
admin_metadata=generate_admin_metadata("test_compare_1"),
base_uri=tmp_uri_fixture
)
proto_ds_a.create()
proto_ds_a.put_item(fpaths["he"], "file.txt")
proto_ds_a.freeze()
proto_ds_b = generate_proto_dataset(
admin_metadata=generate_admin_metadata("test_compare_2"),
base_uri=tmp_uri_fixture
)
proto_ds_b.create()
proto_ds_b.put_item(fpaths["she"], "file.txt")
proto_ds_b.freeze()
ds_a = DataSet.from_uri(proto_ds_a.uri)
ds_b = DataSet.from_uri(proto_ds_b.uri)
assert diff_sizes(ds_a, ds_a) == []
expected = [
(generate_identifier("file.txt"), 2, 3),
]
assert diff_sizes(ds_a, ds_b) == expected
def test_diff_content(tmp_uri_fixture): # NOQA
from dtoolcore import (
DataSet,
generate_admin_metadata,
generate_proto_dataset,
)
from dtoolcore.utils import generate_identifier
from dtoolcore.compare import diff_content
from dtoolcore.storagebroker import DiskStorageBroker
fpaths = create_test_files(tmp_uri_fixture)
proto_ds_a = generate_proto_dataset(
admin_metadata=generate_admin_metadata("test_compare_1"),
base_uri=tmp_uri_fixture
)
proto_ds_a.create()
proto_ds_a.put_item(fpaths["cat"], "file.txt")
proto_ds_a.freeze()
proto_ds_b = generate_proto_dataset(
admin_metadata=generate_admin_metadata("test_compare_2"),
base_uri=tmp_uri_fixture
)
proto_ds_b.create()
proto_ds_b.put_item(fpaths["she"], "file.txt")
proto_ds_b.freeze()
ds_a = DataSet.from_uri(proto_ds_a.uri)
ds_b = DataSet.from_uri(proto_ds_b.uri)
assert diff_content(ds_a, ds_a) == []
identifier = generate_identifier("file.txt")
expected = [(
generate_identifier("file.txt"),
DiskStorageBroker.hasher(ds_a.item_content_abspath(identifier)),
DiskStorageBroker.hasher(ds_b.item_content_abspath(identifier))
)]
assert diff_content(ds_a, ds_b) == expected
| 27.705036
| 72
| 0.688912
| 531
| 3,851
| 4.587571
| 0.122411
| 0.086207
| 0.049261
| 0.066502
| 0.788588
| 0.768473
| 0.733169
| 0.706897
| 0.686371
| 0.686371
| 0
| 0.002632
| 0.210595
| 3,851
| 138
| 73
| 27.905797
| 0.798684
| 0.011685
| 0
| 0.54717
| 0
| 0
| 0.05004
| 0
| 0
| 0
| 0
| 0
| 0.056604
| 1
| 0.037736
| false
| 0
| 0.122642
| 0
| 0.169811
| 0
| 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
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
9dc4f50360a759f005552cdc82c0465cba8a58f8
| 135
|
py
|
Python
|
weatherema/tests/test_weather_monitor.py
|
albertogomcas/weatherema
|
17fa68ec9a9a063069d8a1f94d0c4501c3fd54dd
|
[
"MIT"
] | null | null | null |
weatherema/tests/test_weather_monitor.py
|
albertogomcas/weatherema
|
17fa68ec9a9a063069d8a1f94d0c4501c3fd54dd
|
[
"MIT"
] | null | null | null |
weatherema/tests/test_weather_monitor.py
|
albertogomcas/weatherema
|
17fa68ec9a9a063069d8a1f94d0c4501c3fd54dd
|
[
"MIT"
] | null | null | null |
from weatherema.weather_monitor import WeatherMonitor
def test_get_weather():
w = WeatherMonitor()
weather = w.get_weather()
| 19.285714
| 53
| 0.755556
| 16
| 135
| 6.125
| 0.625
| 0.204082
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.162963
| 135
| 6
| 54
| 22.5
| 0.867257
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0
| 0.25
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
9df491c127cb64f8f0930751f2219d7fc878fb52
| 413
|
py
|
Python
|
Ejecutivo.py
|
IvanMtze/Asistencia
|
c5c224170808ea5119660c248d413ab54cc16cfa
|
[
"MIT"
] | null | null | null |
Ejecutivo.py
|
IvanMtze/Asistencia
|
c5c224170808ea5119660c248d413ab54cc16cfa
|
[
"MIT"
] | null | null | null |
Ejecutivo.py
|
IvanMtze/Asistencia
|
c5c224170808ea5119660c248d413ab54cc16cfa
|
[
"MIT"
] | null | null | null |
from Persona import Persona
class Ejecutivo(Persona):
def __init__ (self, nombre, fechaNacimiento, curp, sexo, salario, biaticos, nivel):
Persona.__init__(self, nombre, fechaNacimiento, curp, sexo)
self.salario = salario
self.biaticos = biaticos
self.nivel = nivel
def __str__(self):
return Persona.__str__(self) + "," + "," + str(self.salario)
| 34.416667
| 87
| 0.631961
| 43
| 413
| 5.697674
| 0.395349
| 0.085714
| 0.114286
| 0.236735
| 0.302041
| 0.302041
| 0
| 0
| 0
| 0
| 0
| 0
| 0.261501
| 413
| 12
| 88
| 34.416667
| 0.803279
| 0
| 0
| 0
| 0
| 0
| 0.004831
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.222222
| false
| 0
| 0.111111
| 0.111111
| 0.555556
| 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
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 4
|
9dfe6482511312033948803f94515c9b5917a4dc
| 91
|
py
|
Python
|
Email Progress Updates/emailprogressconfig.py
|
CallumAltham/TF-Custom-Callbacks
|
8e456ed853b51413fca99879cabb47939993bab4
|
[
"MIT"
] | null | null | null |
Email Progress Updates/emailprogressconfig.py
|
CallumAltham/TF-Custom-Callbacks
|
8e456ed853b51413fca99879cabb47939993bab4
|
[
"MIT"
] | null | null | null |
Email Progress Updates/emailprogressconfig.py
|
CallumAltham/TF-Custom-Callbacks
|
8e456ed853b51413fca99879cabb47939993bab4
|
[
"MIT"
] | null | null | null |
EMAIL_SERVER = None
PORT = None
SENDER_EMAIL = None
PASSWORD = None
RECIEVER_EMAIL = None
| 13
| 21
| 0.769231
| 13
| 91
| 5.153846
| 0.538462
| 0.268657
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.175824
| 91
| 7
| 21
| 13
| 0.893333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0.2
| 0
| 0
| 0
| 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
| 0
| 0
| 0
| 0
|
0
| 4
|
d19297c68ecdacc8d712e03a9d50596182b5bd15
| 193
|
py
|
Python
|
surgerytype/models.py
|
DaleProctor/tscharts
|
5447395e0aef0b949bef8426febdec2093cf37ef
|
[
"Apache-2.0"
] | 16
|
2016-08-17T21:39:10.000Z
|
2021-11-24T12:14:28.000Z
|
surgerytype/models.py
|
DaleProctor/tscharts
|
5447395e0aef0b949bef8426febdec2093cf37ef
|
[
"Apache-2.0"
] | 55
|
2017-04-23T18:12:04.000Z
|
2021-08-08T08:25:18.000Z
|
surgerytype/models.py
|
DaleProctor/tscharts
|
5447395e0aef0b949bef8426febdec2093cf37ef
|
[
"Apache-2.0"
] | 8
|
2017-08-11T02:11:46.000Z
|
2021-07-06T22:58:42.000Z
|
#!/usr/bin/python
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models
class SurgeryType(models.Model):
name = models.CharField(max_length = 300)
| 19.3
| 45
| 0.73057
| 26
| 193
| 5.192308
| 0.846154
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.024242
| 0.145078
| 193
| 9
| 46
| 21.444444
| 0.793939
| 0.196891
| 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
| 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
| 4
|
d1a63b1cdfeb7e1bcdc3f8d88d0cfb7ea9d83619
| 61
|
py
|
Python
|
src/ui/misc/__init__.py
|
moevm/nosql1h19-text-graph
|
410f156ad4f232f8aa060d43692ab020610ddfd4
|
[
"MIT"
] | null | null | null |
src/ui/misc/__init__.py
|
moevm/nosql1h19-text-graph
|
410f156ad4f232f8aa060d43692ab020610ddfd4
|
[
"MIT"
] | null | null | null |
src/ui/misc/__init__.py
|
moevm/nosql1h19-text-graph
|
410f156ad4f232f8aa060d43692ab020610ddfd4
|
[
"MIT"
] | null | null | null |
from .color import get_foreground_color, get_color_by_weight
| 30.5
| 60
| 0.885246
| 10
| 61
| 4.9
| 0.7
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.081967
| 61
| 1
| 61
| 61
| 0.875
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
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| 1
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| 1
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| 0
| null | 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
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| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
ae04ed05cac3149df364bb0664237eebbcd835b2
| 107
|
py
|
Python
|
twitch/__init__.py
|
AritzBi/python-twitch-client
|
a09512962e180f04acbe0077bd8a7ac9244636c0
|
[
"MIT"
] | null | null | null |
twitch/__init__.py
|
AritzBi/python-twitch-client
|
a09512962e180f04acbe0077bd8a7ac9244636c0
|
[
"MIT"
] | null | null | null |
twitch/__init__.py
|
AritzBi/python-twitch-client
|
a09512962e180f04acbe0077bd8a7ac9244636c0
|
[
"MIT"
] | null | null | null |
from .client import TwitchClient # noqa
from .helix.api import TwitchHelix # noqa
__version__ = '0.6.0'
| 21.4
| 42
| 0.738318
| 15
| 107
| 5
| 0.733333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.033708
| 0.168224
| 107
| 4
| 43
| 26.75
| 0.808989
| 0.084112
| 0
| 0
| 0
| 0
| 0.052632
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 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
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
ae0a958812a3aab015a115eeac3799d1bb09de23
| 153
|
py
|
Python
|
src/core/regression/accuracy_scores/__init__.py
|
s-a-nersisyan/ExhauFS
|
435f2f2a347241e899eb6ad9782a1e0cf5bf5428
|
[
"MIT"
] | 5
|
2021-08-05T17:22:19.000Z
|
2022-03-30T22:36:57.000Z
|
src/core/regression/accuracy_scores/__init__.py
|
s-a-nersisyan/ExhauFS
|
435f2f2a347241e899eb6ad9782a1e0cf5bf5428
|
[
"MIT"
] | null | null | null |
src/core/regression/accuracy_scores/__init__.py
|
s-a-nersisyan/ExhauFS
|
435f2f2a347241e899eb6ad9782a1e0cf5bf5428
|
[
"MIT"
] | 1
|
2021-03-30T08:21:27.000Z
|
2021-03-30T08:21:27.000Z
|
from .concordance import concordance_index
from .dynamic_auc import dynamic_auc
from .logrank_test import logrank
from .hazard_ratio import hazard_ratio
| 30.6
| 42
| 0.869281
| 22
| 153
| 5.772727
| 0.454545
| 0.15748
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.104575
| 153
| 4
| 43
| 38.25
| 0.927007
| 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
| 0
| 0
|
0
| 4
|
ae1761487e8555a9b56aafbdeba530df0c3b10a8
| 163
|
py
|
Python
|
general/params.py
|
davidbetz/pywebapi
|
2254417615cedae5675331fe2e5c9862237f31af
|
[
"MIT"
] | 1
|
2018-02-06T20:32:17.000Z
|
2018-02-06T20:32:17.000Z
|
general/params.py
|
davidbetz/pywebapi
|
2254417615cedae5675331fe2e5c9862237f31af
|
[
"MIT"
] | null | null | null |
general/params.py
|
davidbetz/pywebapi
|
2254417615cedae5675331fe2e5c9862237f31af
|
[
"MIT"
] | null | null | null |
def get_kwarg(self, name, **kwargs):
return kwargs[name] if name in kwargs else ''
def get_arg(self, name, *args):
return args[0] if len(args) > 0 else ''
| 32.6
| 49
| 0.656442
| 28
| 163
| 3.75
| 0.5
| 0.114286
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.015267
| 0.196319
| 163
| 5
| 50
| 32.6
| 0.78626
| 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
| 0
| 0
|
0
| 4
|
ae267f7fe098854fa92bf056e25f7782922fa023
| 147
|
py
|
Python
|
app/__init__.py
|
pmarkowsky/dash
|
c67d48b1b0bb1e17ed652c737bd46f5698537b51
|
[
"MIT"
] | 82
|
2016-07-07T06:31:25.000Z
|
2020-05-05T22:22:18.000Z
|
app/__init__.py
|
pmarkowsky/webasm
|
c67d48b1b0bb1e17ed652c737bd46f5698537b51
|
[
"MIT"
] | 2
|
2016-07-06T02:41:55.000Z
|
2016-07-07T04:29:34.000Z
|
app/__init__.py
|
pmarkowsky/webasm
|
c67d48b1b0bb1e17ed652c737bd46f5698537b51
|
[
"MIT"
] | 10
|
2016-07-07T07:42:58.000Z
|
2019-10-11T14:35:38.000Z
|
"""
A web based front end for simple assembly / disassembly experiments
"""
from flask import Flask
app = Flask(__name__)
from app import views
| 16.333333
| 67
| 0.748299
| 21
| 147
| 5.047619
| 0.761905
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.183673
| 147
| 8
| 68
| 18.375
| 0.883333
| 0.455782
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 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
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
ae2790b7cad6ca9552b66d72a84b2b1453637c37
| 133
|
py
|
Python
|
py_string/py_string_split.py
|
StanLepunK/PYTHON_basics
|
da803bd72824de281677f3ba4c5d7bd44a7460fb
|
[
"MIT"
] | null | null | null |
py_string/py_string_split.py
|
StanLepunK/PYTHON_basics
|
da803bd72824de281677f3ba4c5d7bd44a7460fb
|
[
"MIT"
] | null | null | null |
py_string/py_string_split.py
|
StanLepunK/PYTHON_basics
|
da803bd72824de281677f3ba4c5d7bd44a7460fb
|
[
"MIT"
] | null | null | null |
arg = "tout est super génial"
# absence de sépateur est considéré comme un espace séparateur
print(arg.split())
print(arg.split("e"))
| 33.25
| 62
| 0.75188
| 21
| 133
| 4.761905
| 0.761905
| 0.16
| 0.26
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.12782
| 133
| 4
| 63
| 33.25
| 0.862069
| 0.451128
| 0
| 0
| 0
| 0
| 0.305556
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0.666667
| 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
| 0
| 0
| 0
| 1
|
0
| 4
|
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