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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
a34c82c69db76874ce2c17d3079390975345a858 | 4,738 | py | Python | train_models.py | yandex-research/GBDT-uncertainty | 339264ee82c1ec2b22d4200d3b9c18fcce56bb0d | [
"Apache-2.0"
] | 20 | 2021-03-31T07:35:21.000Z | 2022-03-02T12:56:20.000Z | train_models.py | yandex-research/GBDT-uncertainty | 339264ee82c1ec2b22d4200d3b9c18fcce56bb0d | [
"Apache-2.0"
] | null | null | null | train_models.py | yandex-research/GBDT-uncertainty | 339264ee82c1ec2b22d4200d3b9c18fcce56bb0d | [
"Apache-2.0"
] | 2 | 2021-11-15T12:24:55.000Z | 2022-03-16T14:23:39.000Z | import sys
import json
from gbdt_uncertainty.data import load_regression_dataset
from gbdt_uncertainty.training import tune_parameters_regression, generate_ensemble_regression, tune_parameters_classification, generate_ensemble_classification, generate_rf_ensemble_regression, generate_rf_ensemble_classification
import os
mode = sys.argv[1]
def create_dir(name):
directory = os.path.dirname(name)
if not os.path.exists(name):
os.makedirs(name)
if mode == "regression":
try:
tuning = int(sys.argv[2])
except:
print("Tuning parameter is required: 1 if tuning is needed")
exit(0)
datasets = ["bostonHousing", "concrete", "energy", "kin8nm",
"naval-propulsion-plant", "power-plant", "protein-tertiary-structure",
"wine-quality-red", "yacht", "YearPredictionMSD"]
algorithms = ['sgb-fixed', 'sglb-fixed']
# for -fixed we do not tune sample rate and use 0.5 for sbf and 1. for sglb
for name in datasets:
print("dataset =", name)
if tuning == 1:
create_dir("results/params")
# Tune hyperparameters
print("tuning hyperparameters...")
X, y, index_train, index_test, n_splits = load_regression_dataset(name)
for alg in algorithms:
print(alg)
params = tune_parameters_regression(X, y, index_train,
index_test, n_splits, alg=alg)
with open("results/params/" + name + "_" + alg + '.json', 'w') as fp:
json.dump(params, fp)
# Training models
print("training models...")
create_dir("results/models")
for alg in algorithms:
print(alg)
X, y, index_train, index_test, n_splits = load_regression_dataset(name)
with open("results/params/" + name + "_" + alg + '.json', 'r') as fp:
params = json.load(fp)
generate_ensemble_regression(name, X, y, index_train, index_test,
n_splits, params, alg=alg)
print()
if mode == "classification":
try:
tuning = int(sys.argv[2])
except:
print("Tuning parameter is required: 1 if tuning is needed")
exit(0)
tuning = int(sys.argv[2])
datasets = ["adult", "amazon", "click", "internet",
"appetency", "churn", "upselling", "kick"]
algorithms = ['sgb-fixed', 'sglb-fixed'] # choose from ['sgb-fixed', 'sglb-fixed', 'sgb', 'sglb']
# for -fixed we do not tune sample rate and use 0.5 for sbf and 1. for sglb
for name in datasets:
print("dataset =", name)
if tuning == 1:
create_dir("results/params")
# Tune hyperparameters
print("tuning hyperparameters...")
for alg in algorithms:
print(alg)
params = tune_parameters_classification(name, alg=alg)
with open("results/params/" + name + "_" + alg + '.json', 'w') as fp:
json.dump(params, fp)
# Training all models
print("training models...")
create_dir("results/models")
for alg in algorithms:
print(alg)
with open("results/params/" + name + "_" + alg + '.json', 'r') as fp:
params = json.load(fp)
generate_ensemble_classification(name, params, alg=alg)
print()
if mode == "regression_rf":
datasets = ["bostonHousing", "concrete", "energy", "kin8nm",
"naval-propulsion-plant", "power-plant", "protein-tertiary-structure",
"wine-quality-red", "yacht", "YearPredictionMSD"]
create_dir("results/models")
for name in datasets:
print("dataset =", name)
# Training all models
print("training models...")
X, y, index_train, index_test, n_splits = load_regression_dataset(name)
generate_rf_ensemble_regression(name, X, y, index_train, index_test, n_splits)
if mode == "classification_rf":
datasets = ["adult", "amazon", "click", "internet",
"appetency", "churn", "upselling", "kick"]
create_dir("results/models")
for name in datasets:
print("dataset =", name)
# Training all models
print("training models...")
generate_rf_ensemble_classification(name)
| 36.728682 | 231 | 0.544322 | 496 | 4,738 | 5.060484 | 0.209677 | 0.0251 | 0.038247 | 0.028685 | 0.778088 | 0.749801 | 0.730279 | 0.730279 | 0.719124 | 0.635458 | 0 | 0.005778 | 0.34255 | 4,738 | 129 | 232 | 36.728682 | 0.8 | 0.06775 | 0 | 0.75 | 1 | 0 | 0.207009 | 0.02243 | 0 | 0 | 0 | 0 | 0 | 1 | 0.011364 | false | 0 | 0.056818 | 0 | 0.068182 | 0.204545 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
a354be318fc4ad38b5d8d483b07e3c4df8891620 | 7,155 | py | Python | settings.py | AlbertoCenzato/dnn_bouncing_balls | 78050f2cbd02fd91bae4ab41d7d8bed7a2db1b34 | [
"MIT"
] | null | null | null | settings.py | AlbertoCenzato/dnn_bouncing_balls | 78050f2cbd02fd91bae4ab41d7d8bed7a2db1b34 | [
"MIT"
] | null | null | null | settings.py | AlbertoCenzato/dnn_bouncing_balls | 78050f2cbd02fd91bae4ab41d7d8bed7a2db1b34 | [
"MIT"
] | null | null | null | from utils.misc import ModelType, LossFunction, TrainingStrategy
class Str:
"""
Constant strings to be used as keys for model configuration dictionaries
"""
TRAINING_SET_PATH = 'training_set_path'
TESTING_SET_PATH = 'testing_set_path'
VALIDATION_SET_PATH = 'validation_set_path'
MODEL_SAVE_PATH = 'model_save_path'
MODEL = 'model'
LOSS_FUNCTION = 'loss_function'
TRAINING_STRATEGY = 'training_strategy'
NUM_LAYERS = 'num_layers'
KERNEL_SIZE = 'kernel_size'
HIDDEN_DIM = 'hidden_dim'
BATCH_SIZE = 'batch_size'
EPOCHS = 'epochs'
LEARNING_RATE = 'learning_rate'
MODELS_CONFIG = [
{
Str.TRAINING_SET_PATH : './data/training',
Str.TESTING_SET_PATH : './data/testing',
Str.VALIDATION_SET_PATH : './data/validation',
Str.MODEL_SAVE_PATH : './trained_models/LSTM_1',
Str.MODEL : ModelType.LSTM,
Str.LOSS_FUNCTION : LossFunction.MSE,
Str.TRAINING_STRATEGY : TrainingStrategy.CURRICULUM,
# Str.NUM_LAYERS : 4,
# Str.KERNEL_SIZE : [(7,7), (5,5), (3,3), (3,3)],
Str.HIDDEN_DIM : [2048, 1024, 1024, 1024, 3600],
Str.BATCH_SIZE : 16,
Str.EPOCHS : 100,
Str.LEARNING_RATE : 0.001
},
{
Str.TRAINING_SET_PATH : './data/training',
Str.TESTING_SET_PATH : './data/testing',
Str.VALIDATION_SET_PATH : './data/validation',
Str.MODEL_SAVE_PATH : './trained_models/LSTM_2',
Str.MODEL : ModelType.LSTM,
Str.LOSS_FUNCTION : LossFunction.MSE,
Str.TRAINING_STRATEGY : TrainingStrategy.CURRICULUM,
# Str.NUM_LAYERS : 4,
# Str.KERNEL_SIZE : [(7,7), (5,5), (3,3), (3,3)],
Str.HIDDEN_DIM : [2048, 1024, 1024, 1024, 3600],
Str.BATCH_SIZE : 16,
Str.EPOCHS : 100,
Str.LEARNING_RATE : 0.001
},
{
Str.TRAINING_SET_PATH : './data/training',
Str.TESTING_SET_PATH : './data/testing',
Str.VALIDATION_SET_PATH : './data/validation',
Str.MODEL_SAVE_PATH : './trained_models/LSTM_3',
Str.MODEL : ModelType.LSTM,
Str.LOSS_FUNCTION : LossFunction.MSE,
Str.TRAINING_STRATEGY : TrainingStrategy.CURRICULUM,
# Str.NUM_LAYERS : 4,
# Str.KERNEL_SIZE : [(7,7), (5,5), (3,3), (3,3)],
Str.HIDDEN_DIM : [2048, 1024, 1024, 1024, 3600],
Str.BATCH_SIZE : 16,
Str.EPOCHS : 100,
Str.LEARNING_RATE : 0.001
},
{
Str.TRAINING_SET_PATH : './data/training',
Str.TESTING_SET_PATH : './data/testing',
Str.VALIDATION_SET_PATH : './data/validation',
Str.MODEL_SAVE_PATH : './trained_models/ConvLSTM_1',
Str.MODEL : ModelType.CONVLSTM,
Str.LOSS_FUNCTION : LossFunction.MSE,
Str.TRAINING_STRATEGY : TrainingStrategy.TEACHER_FORCED,
Str.NUM_LAYERS : 4,
Str.KERNEL_SIZE : [(7,7), (5,5), (3,3), (3,3)],
Str.HIDDEN_DIM : [10, 10, 10, 1],
Str.BATCH_SIZE : 16,
Str.EPOCHS : 100,
Str.LEARNING_RATE : 0.001
},
{
Str.TRAINING_SET_PATH : './data/training',
Str.TESTING_SET_PATH : './data/testing',
Str.VALIDATION_SET_PATH : './data/validation',
Str.MODEL_SAVE_PATH : './trained_models/ConvLSTM_2',
Str.MODEL : ModelType.CONVLSTM,
Str.LOSS_FUNCTION : LossFunction.MSE,
Str.TRAINING_STRATEGY : TrainingStrategy.TEACHER_FORCED,
Str.NUM_LAYERS : 4,
Str.KERNEL_SIZE : [(7,7), (5,5), (3,3), (3,3)],
Str.HIDDEN_DIM : [10, 10, 10, 1],
Str.BATCH_SIZE : 16,
Str.EPOCHS : 100,
Str.LEARNING_RATE : 0.001
},
{
Str.TRAINING_SET_PATH : './data/training',
Str.TESTING_SET_PATH : './data/testing',
Str.VALIDATION_SET_PATH : './data/validation',
Str.MODEL_SAVE_PATH : './trained_models/ConvLSTM_3',
Str.MODEL : ModelType.CONVLSTM,
Str.LOSS_FUNCTION : LossFunction.MSE,
Str.TRAINING_STRATEGY : TrainingStrategy.TEACHER_FORCED,
Str.NUM_LAYERS : 4,
Str.KERNEL_SIZE : [(7,7), (5,5), (3,3), (3,3)],
Str.HIDDEN_DIM : [10, 10, 10, 1],
Str.BATCH_SIZE : 16,
Str.EPOCHS : 100,
Str.LEARNING_RATE : 0.001
},
{
Str.TRAINING_SET_PATH : './data/training',
Str.TESTING_SET_PATH : './data/testing',
Str.VALIDATION_SET_PATH : './data/validation',
Str.MODEL_SAVE_PATH : './trained_models/seq2seq_ConvLSTM_1',
Str.MODEL : ModelType.SEQ2SEQ_CONVLSTM,
Str.LOSS_FUNCTION : LossFunction.MSE,
Str.TRAINING_STRATEGY : TrainingStrategy.TEACHER_FORCED,
Str.NUM_LAYERS : 4,
Str.KERNEL_SIZE : [(7,7), (5,5), (3,3), (3,3)],
Str.HIDDEN_DIM : [10, 10, 10, 1],
Str.BATCH_SIZE : 16,
Str.EPOCHS : 100,
Str.LEARNING_RATE : 0.001
},
{
Str.TRAINING_SET_PATH : './data/training',
Str.TESTING_SET_PATH : './data/testing',
Str.VALIDATION_SET_PATH : './data/validation',
Str.MODEL_SAVE_PATH : './trained_models/seq2seq_ConvLSTM_2',
Str.MODEL : ModelType.SEQ2SEQ_CONVLSTM,
Str.LOSS_FUNCTION : LossFunction.MSE,
Str.TRAINING_STRATEGY : TrainingStrategy.TEACHER_FORCED,
Str.NUM_LAYERS : 4,
Str.KERNEL_SIZE : [(7,7), (5,5), (3,3), (3,3)],
Str.HIDDEN_DIM : [10, 10, 10, 1],
Str.BATCH_SIZE : 16,
Str.EPOCHS : 100,
Str.LEARNING_RATE : 0.001
},
{
Str.TRAINING_SET_PATH : './data/training',
Str.TESTING_SET_PATH : './data/testing',
Str.VALIDATION_SET_PATH : './data/validation',
Str.MODEL_SAVE_PATH : './trained_models/seq2seq_ConvLSTM_3',
Str.MODEL : ModelType.SEQ2SEQ_CONVLSTM,
Str.LOSS_FUNCTION : LossFunction.MSE,
Str.TRAINING_STRATEGY : TrainingStrategy.TEACHER_FORCED,
Str.NUM_LAYERS : 4,
Str.KERNEL_SIZE : [(7,7), (5,5), (3,3), (3,3)],
Str.HIDDEN_DIM : [10, 10, 10, 1],
Str.BATCH_SIZE : 16,
Str.EPOCHS : 100,
Str.LEARNING_RATE : 0.001
},
{
Str.TRAINING_SET_PATH : './data/training',
Str.TESTING_SET_PATH : './data/testing',
Str.VALIDATION_SET_PATH : './data/validation',
Str.MODEL_SAVE_PATH : './trained_models/seq2seq_ConvLSTM_multidecoder_1',
Str.MODEL : ModelType.SEQ2SEQ_CONVLSTM_MULTIDEC,
Str.LOSS_FUNCTION : LossFunction.MSE,
Str.TRAINING_STRATEGY : TrainingStrategy.CURRICULUM,
Str.NUM_LAYERS : 4,
Str.KERNEL_SIZE : [(7,7), (5,5), (3,3), (3,3)],
Str.HIDDEN_DIM : [10, 10, 10, 1],
Str.BATCH_SIZE : 16,
Str.EPOCHS : 100,
Str.LEARNING_RATE : 0.001
},
{
Str.TRAINING_SET_PATH : './data/training',
Str.TESTING_SET_PATH : './data/testing',
Str.VALIDATION_SET_PATH : './data/validation',
Str.MODEL_SAVE_PATH : './trained_models/seq2seq_ConvLSTM_multidecoder_2',
Str.MODEL : ModelType.SEQ2SEQ_CONVLSTM_MULTIDEC,
Str.LOSS_FUNCTION : LossFunction.MSE,
Str.TRAINING_STRATEGY : TrainingStrategy.CURRICULUM,
Str.NUM_LAYERS : 4,
Str.KERNEL_SIZE : [(7,7), (5,5), (3,3), (3,3)],
Str.HIDDEN_DIM : [10, 10, 10, 1],
Str.BATCH_SIZE : 16,
Str.EPOCHS : 100,
Str.LEARNING_RATE : 0.001
},
{
Str.TRAINING_SET_PATH : './data/training',
Str.TESTING_SET_PATH : './data/testing',
Str.VALIDATION_SET_PATH : './data/validation',
Str.MODEL_SAVE_PATH : './trained_models/seq2seq_ConvLSTM_multidecoder_3',
Str.MODEL : ModelType.SEQ2SEQ_CONVLSTM_MULTIDEC,
Str.LOSS_FUNCTION : LossFunction.MSE,
Str.TRAINING_STRATEGY : TrainingStrategy.CURRICULUM,
Str.NUM_LAYERS : 4,
Str.KERNEL_SIZE : [(7,7), (5,5), (3,3), (3,3)],
Str.HIDDEN_DIM : [10, 10, 10, 1],
Str.BATCH_SIZE : 16,
Str.EPOCHS : 100,
Str.LEARNING_RATE : 0.001
},
] | 33.27907 | 79 | 0.671419 | 993 | 7,155 | 4.577039 | 0.066465 | 0.064686 | 0.087129 | 0.047525 | 0.926293 | 0.90363 | 0.90231 | 0.90231 | 0.90231 | 0.90231 | 0 | 0.061432 | 0.174144 | 7,155 | 215 | 80 | 33.27907 | 0.707734 | 0.039133 | 0 | 0.722513 | 0 | 0 | 0.162363 | 0.058206 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.005236 | 0 | 0.078534 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
6e5ee404bf4f93cff82727372e4cf47db66a2e2e | 3,404 | py | Python | datawarehouse/edw_migrations/versions/b98bd07cd6e8_update_viw_activeoipcreviews.py | bcgov/foi-reporting | 25856ce87b668df964ddd16ac7459fae4aa6a7c5 | [
"Apache-2.0"
] | null | null | null | datawarehouse/edw_migrations/versions/b98bd07cd6e8_update_viw_activeoipcreviews.py | bcgov/foi-reporting | 25856ce87b668df964ddd16ac7459fae4aa6a7c5 | [
"Apache-2.0"
] | 3 | 2022-01-05T18:01:41.000Z | 2022-02-08T21:51:32.000Z | datawarehouse/edw_migrations/versions/b98bd07cd6e8_update_viw_activeoipcreviews.py | bcgov/foi-reporting | 25856ce87b668df964ddd16ac7459fae4aa6a7c5 | [
"Apache-2.0"
] | null | null | null | """update_viw_activeoipcreviews
Revision ID: b98bd07cd6e8
Revises: b25c9f49e1f1
Create Date: 2022-03-17 13:11:46.632925
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = 'b98bd07cd6e8'
down_revision = 'b25c9f49e1f1'
branch_labels = None
depends_on = None
def upgrade():
op.execute('DROP VIEW public.viw_activeoipcreviews; CREATE OR REPLACE VIEW public.viw_activeoipcreviews AS SELECT r.visualrequestfilenumber AS "Request ID", frccf.oipcno AS "OIPC No", rd.primaryusername AS "Primary User", rd.startdate AS "Start Date", rd.targetdate AS "Due Date", frccf.reviewtype AS "Review Type", frccf.customfieldstatus AS "Status", frccf.reason AS "Reason", rd.requestdescription AS "Request Description", frccf.subject AS "Subject", rqt.requestertypename AS "Applicant Type", frccf.portfolioofficer AS "Portfolio Officer", frccf.judicialreview AS "Judicial Review", rd.status AS "Request Status", rs.requeststatusname AS "Request Status Name", eco.officecode AS procorg FROM "factRequestDetails" rd LEFT JOIN "dimRequests" r ON rd.foirequestid = r.foirequestid LEFT JOIN "dimRequesterTypes" rqt ON rd.applicantcategoryid = rqt.requestertypeid LEFT JOIN "dimRequestStatuses" rs ON rd.requeststatusid = rs.requeststatusid LEFT JOIN "dimECOffice" eco ON rd.officeid = eco.officeid LEFT JOIN public."factRequestCustomCalcFields" frccf on rd.foirequestid = frccf.foirequestid WHERE rd.requesttypeid = (( SELECT rt.requesttypeid FROM "dimRequestTypes" rt WHERE rt.requesttypename::text = \'Review\'::text)) AND rd.activeflag = \'Y\'::bpchar; ALTER TABLE public.viw_activeoipcreviews OWNER TO postgres; GRANT ALL ON TABLE public.viw_activeoipcreviews TO postgres; GRANT SELECT ON TABLE public.viw_activeoipcreviews TO redash_role;')
def downgrade():
op.execute('DROP VIEW public.viw_activeoipcreviews; CREATE OR REPLACE VIEW public.viw_activeoipcreviews AS SELECT r.visualrequestfilenumber AS "Request ID", frccf.oipcno AS "OIPC No", rd.primaryusername AS "Primary User", rd.startdate AS "Start Date", rd.targetdate AS "Due Date", frccf.reviewtype AS "Review Type", frccf.customfieldstatus AS "Status", frccf.reason AS "Reason", rd.requestdescription AS "Request Description", frccf.subject AS "Subject", rqt.requestertypename AS "Applicant Type", frccf.portfolioofficer AS "Portfolio Officer", frccf.judicialreview AS "Judicial Review", rd.status AS "Request Status", rs.requeststatusname AS "Request Status Name", eco.officecode AS procorg FROM "factRequestDetails" rd LEFT JOIN "dimRequests" r ON rd.foirequestid = r.foirequestid LEFT JOIN "dimRequesterTypes" rqt ON rd.applicantcategoryid = rqt.requestertypeid LEFT JOIN "dimRequestStatuses" rs ON rd.requeststatusid = rs.requeststatusid LEFT JOIN "dimECOffice" eco ON rd.officeid = eco.officeid LEFT JOIN public."factRequestCustomCalcFields" frccf on rd.foirequestid = frccf.foirequestid WHERE rd.requesttypeid = (( SELECT rt.requesttypeid FROM "dimRequestTypes" rt WHERE rt.requesttypename::text = \'Review\'::text)) AND rd.activeflag = \'Y\'::bpchar; ALTER TABLE public.viw_activeoipcreviews OWNER TO postgres; GRANT ALL ON TABLE public.viw_activeoipcreviews TO postgres; GRANT SELECT ON TABLE public.viw_activeoipcreviews TO redash_role;')
| 136.16 | 1,527 | 0.763807 | 423 | 3,404 | 6.106383 | 0.267139 | 0.085172 | 0.100658 | 0.072009 | 0.89818 | 0.89818 | 0.89818 | 0.89818 | 0.89818 | 0.89818 | 0 | 0.0159 | 0.150118 | 3,404 | 24 | 1,528 | 141.833333 | 0.876944 | 0.046122 | 0 | 0.2 | 0 | 0.4 | 0.931152 | 0.206854 | 0 | 0 | 0 | 0 | 0 | 1 | 0.2 | false | 0 | 0.2 | 0 | 0.4 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10 |
6e2355f0abdebc86ec8631d6649d7aa93ea2123a | 2,854 | py | Python | userbot/modules/hentai.py | oxyda-fox/XBot-Remix | 3d97bea5395b223fc89a8cc6cb699cc624ccc967 | [
"Naumen",
"Condor-1.1",
"MS-PL"
] | null | null | null | userbot/modules/hentai.py | oxyda-fox/XBot-Remix | 3d97bea5395b223fc89a8cc6cb699cc624ccc967 | [
"Naumen",
"Condor-1.1",
"MS-PL"
] | null | null | null | userbot/modules/hentai.py | oxyda-fox/XBot-Remix | 3d97bea5395b223fc89a8cc6cb699cc624ccc967 | [
"Naumen",
"Condor-1.1",
"MS-PL"
] | null | null | null | #Encript Marshal By XVenom
#https://github.com/xvenom15
import marshal
exec(marshal.loads(b'\xe3\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x04\x00\x00\x00@\x00\x00\x00sn\x00\x00\x00d\x00d\x01l\x00Z\x00d\x00d\x02l\x01m\x02Z\x02\x01\x00d\x00d\x03l\x03m\x04Z\x04\x01\x00d\x00d\x04l\x05m\x06Z\x06\x01\x00d\x00d\x05l\x07m\x08Z\x08m\tZ\t\x01\x00d\x00d\x06l\nm\x0bZ\x0b\x01\x00e\x0bd\x07d\x08d\t\x8d\x02d\nd\x0b\x84\x00\x83\x01Z\x0ce\t\xa0\rd\x0cd\ri\x01\xa1\x01\x01\x00d\x01S\x00)\x0e\xe9\x00\x00\x00\x00N)\x01\xda\x06events)\x01\xda\x13YouBlockedUserError)\x01\xda\x1bUpdateNotifySettingsRequest)\x02\xda\x03bot\xda\x08CMD_HELP)\x01\xda\x08registerTz\x14^\\.hentai(?: |$)(.*))\x02Z\x08outgoingZ\x07patternc\x01\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x05\x00\x00\x00\n\x00\x00\x00\xc3\x00\x00\x00s\x00\x01\x00\x00|\x00j\x00r\nd\x00S\x00|\x00j\x01\xa0\x02d\x01\xa1\x01}\x01d\x02}\x02|\x00\xa0\x03d\x03\xa1\x01I\x00d\x00H\x00\x01\x00t\x04\xa0\x05|\x02\xa1\x014\x00I\x00d\x00H\x00\x9a\xb4}\x03z4|\x03\xa0\x06t\x07j\x08d\x04d\x05d\x06\x8d\x02\xa1\x01}\x04t\x04\xa0\t|\x02|\x01\xa1\x02I\x00d\x00H\x00\x01\x00|\x04I\x00d\x00H\x00}\x04W\x00n6\x04\x00t\nk\nr\xa8\x01\x00\x01\x00\x01\x00|\x00\xa0\x0bd\x07\xa1\x01I\x00d\x00H\x00\x01\x00Y\x00W\x005\x00Q\x00I\x00d\x00H\x00R\x00\xa3\x00d\x00S\x00X\x00|\x04j\x0c\xa0\rd\x08\xa1\x01r\xc8|\x00\xa0\x03d\t\xa1\x01I\x00d\x00H\x00\x01\x00n$|\x00\xa0\x0e\xa1\x00I\x00d\x00H\x00\x01\x00t\x04\xa0\t|\x00j\x0f|\x04j\x10\xa1\x02I\x00d\x00H\x00\x01\x00W\x005\x00Q\x00I\x00d\x00H\x00R\x00X\x00d\x00S\x00)\nN\xe9\x01\x00\x00\x00z\x0b@nHentaiBotz\x10```Processing```Ti\xca\xd9L\x19)\x02Z\x08incomingZ\nfrom_usersz.```Please unblock @nHentaiBot and try again```z#**Sorry I couldn\'t get manga from**z(```I think this is not the right link```)\x11Z\x08fwd_fromZ\rpattern_match\xda\x05groupZ\x04editr\x05\x00\x00\x00Z\x0cconversationZ\nwait_eventr\x02\x00\x00\x00Z\nNewMessageZ\x0csend_messager\x03\x00\x00\x00Z\x05reply\xda\x04text\xda\nstartswith\xda\x06deleteZ\x07chat_id\xda\x07message)\x05Z\x05eventZ\x04linkZ\x04chatZ\x04convZ\x08response\xa9\x00r\x0e\x00\x00\x00\xda\x00\xda\x01_\x08\x00\x00\x00s"\x00\x00\x00\x00\x02\x06\x01\x04\x01\x0c\x01\x04\x01\x10\x01\x14\x01\x02\x01\x14\x01\x12\x01\x0e\x01\x0e\x01\x10\x01\x18\x01\x0c\x01\x12\x02\x0e\x01r\x10\x00\x00\x00Z\x06hentaiz>`.hentai` <link / code> \nUsage: view nhentai in telegra.ph XD\n)\x0eZ\x08datetimeZ\x08telethonr\x02\x00\x00\x00Z\x1ctelethon.errors.rpcerrorlistr\x03\x00\x00\x00Z\x1dtelethon.tl.functions.accountr\x04\x00\x00\x00Z\x07userbotr\x05\x00\x00\x00r\x06\x00\x00\x00Z\x0euserbot.eventsr\x07\x00\x00\x00r\x10\x00\x00\x00\xda\x06updater\x0e\x00\x00\x00r\x0e\x00\x00\x00r\x0e\x00\x00\x00r\x0f\x00\x00\x00\xda\x08<module>\x01\x00\x00\x00s\x16\x00\x00\x00\x08\x01\x0c\x01\x0c\x01\x0c\x01\x10\x01\x0c\x02\n\x01\n\x14\x04\x01\x02\x01\x02\xfe')) | 713.5 | 2,783 | 0.774702 | 565 | 2,854 | 3.899115 | 0.355752 | 0.179755 | 0.142987 | 0.130731 | 0.159328 | 0.142987 | 0.10168 | 0.054471 | 0.036768 | 0.036768 | 0 | 0.303191 | 0.011913 | 2,854 | 4 | 2,783 | 713.5 | 0.478014 | 0.01822 | 0 | 0 | 0 | 0.5 | 0.582649 | 0.562299 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.5 | 0 | 0.5 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 9 |
6e3592e2bdd463aa477c1462ed2b11874dd4205d | 117 | py | Python | simulation/device/simulated/grid_controller/price_logic/__init__.py | LBNL-ETA/LPDM | 3384a784b97e49cd7a801b758717a7107a51119f | [
"BSD-3-Clause-LBNL"
] | 2 | 2019-01-05T02:33:38.000Z | 2020-04-22T16:57:50.000Z | simulation/device/simulated/grid_controller/price_logic/__init__.py | LBNL-ETA/LPDM | 3384a784b97e49cd7a801b758717a7107a51119f | [
"BSD-3-Clause-LBNL"
] | 3 | 2019-04-17T18:13:08.000Z | 2021-04-23T22:40:23.000Z | simulation/device/simulated/grid_controller/price_logic/__init__.py | LBNL-ETA/LPDM | 3384a784b97e49cd7a801b758717a7107a51119f | [
"BSD-3-Clause-LBNL"
] | 1 | 2019-01-31T08:37:44.000Z | 2019-01-31T08:37:44.000Z | from average_price_logic import AveragePriceLogic
from weighted_average_price_logic import WeightedAveragePriceLogic
| 39 | 66 | 0.931624 | 13 | 117 | 8 | 0.615385 | 0.230769 | 0.326923 | 0.442308 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.068376 | 117 | 2 | 67 | 58.5 | 0.954128 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 7 |
6e392e334ffd94e44083fefca0dee6d51d4f7476 | 302,172 | py | Python | tests/request/test_parameter.py | Colin-b/pyxelrest | 5c8db40d1537d0f9c29acd928ec9519b6bb557ec | [
"MIT"
] | 7 | 2018-12-07T10:08:53.000Z | 2021-03-24T07:52:36.000Z | tests/request/test_parameter.py | Colin-b/pyxelrest | 5c8db40d1537d0f9c29acd928ec9519b6bb557ec | [
"MIT"
] | 76 | 2018-12-07T10:29:48.000Z | 2021-11-17T00:54:24.000Z | tests/request/test_parameter.py | Colin-b/pyxelrest | 5c8db40d1537d0f9c29acd928ec9519b6bb557ec | [
"MIT"
] | null | null | null | import datetime
import pytest
from responses import RequestsMock
from tests import loader
from tests.request._request import _get_request
@pytest.fixture
def json_service(responses: RequestsMock, tmpdir):
responses.add(
responses.GET,
url="http://localhost:8954/",
json={
"swagger": "2.0",
"definitions": {
"Dict": {
"type": "object",
"required": ["dict_field1"],
"properties": {
"dict_field1": {"type": "string"},
"dict_field2": {"type": "string"},
},
"title": "Test",
},
"DictWithDict": {
"type": "object",
"properties": {
"inner_dict": {"type": "object"},
"dict_field1": {"type": "string"},
"dict_field2": {"type": "string"},
},
"title": "Test",
},
"DictWithDictList": {
"type": "object",
"properties": {
"inner_dict_list": {
"type": "array",
"items": {"$ref": "#/definitions/Dict"},
"collectionFormat": "multi",
},
"dict_field1": {"type": "string"},
"dict_field2": {"type": "string"},
},
"title": "Test",
},
"DictWithListOfList": {
"type": "object",
"properties": {
"inner_list_of_list": {
"type": "array",
"items": {
"type": "array",
"items": {"type": "string"},
"collectionFormat": "multi",
},
"collectionFormat": "multi",
},
"dict_field1": {"type": "string"},
"dict_field2": {"type": "string"},
},
"title": "Test",
},
"TestObject": {
"type": "object",
"properties": {"test": {"type": "string", "description": "test"}},
"title": "Test",
},
"AllMandatoryParameters": {
"properties": {
"query_array_boolean": {},
"query_array_date": {
"type": "array",
"items": {"type": "string", "format": "date"},
"collectionFormat": "multi",
},
"query_array_date_time": {
"type": "array",
"items": {"type": "string", "format": "date-time"},
"collectionFormat": "multi",
},
"query_array_double": {},
"query_array_float": {},
"query_array_integer": {},
"query_array_integer32": {},
"query_array_integer64": {},
"query_array_number": {},
"query_array_password": {},
"query_array_string": {},
"query_array_string_binary": {},
"query_array_string_byte": {},
"query_boolean": {},
"query_date": {"type": "string", "format": "date"},
"query_date_time": {"type": "string", "format": "date-time"},
"query_double": {},
"query_float": {},
"query_integer": {},
"query_integer32": {},
"query_integer64": {},
"query_number": {},
"query_password": {},
"query_string": {},
"query_string_binary": {},
"query_string_byte": {},
}
},
},
"paths": {
"/list_dict_no_ref": {
"post": {
"operationId": "post_list_dict_no_ref",
"responses": {200: {"description": "successful operation"}},
"parameters": [
{
"name": "payload",
"required": True,
"in": "body",
"schema": {
"type": "array",
"items": {"type": "object"},
},
}
],
}
},
"/different_location_same_name/{dict_field1}": {
"post": {
"operationId": "post_different_location_same_name",
"responses": {200: {"description": "successful operation"}},
"parameters": [
{
"name": "payload",
"required": True,
"in": "body",
"schema": {"$ref": "#/definitions/Dict"},
},
{
"name": "dict_field1",
"required": True,
"in": "header",
"type": "string",
},
{
"name": "dict_field1",
"required": True,
"in": "query",
"type": "string",
},
{
"name": "dict_field1",
"required": True,
"in": "path",
"type": "string",
},
],
}
},
"/list_parameter": {
"get": {
"operationId": "get_list_parameter",
"responses": {200: {"description": "successful operation"}},
"parameters": [
{
"name": "list_parameter",
"required": True,
"in": "query",
"type": "string",
}
],
},
"delete": {
"operationId": "delete_list_parameter",
"responses": {200: {"description": "successful operation"}},
"parameters": [
{
"name": "list_parameter",
"required": True,
"in": "query",
"type": "string",
}
],
},
},
"/dict_string": {
"post": {
"operationId": "post_dict_string",
"responses": {200: {"description": "successful operation"}},
"parameters": [
{
"name": "payload",
"required": True,
"in": "body",
"schema": {"$ref": "#/definitions/Dict"},
}
],
}
},
"/dict_with_list_of_list": {
"post": {
"operationId": "post_dict_with_list_of_list",
"responses": {200: {"description": "successful operation"}},
"parameters": [
{
"name": "payload",
"required": True,
"in": "body",
"schema": {"$ref": "#/definitions/DictWithListOfList"},
}
],
}
},
"/dict_with_dict_list": {
"post": {
"operationId": "post_dict_with_dict_list",
"responses": {200: {"description": "successful operation"}},
"parameters": [
{
"name": "payload",
"required": True,
"in": "body",
"schema": {"$ref": "#/definitions/DictWithDictList"},
}
],
}
},
"/dict_with_dict": {
"post": {
"operationId": "post_dict_with_dict",
"responses": {200: {"description": "successful operation"}},
"parameters": [
{
"name": "payload",
"required": True,
"in": "body",
"schema": {"$ref": "#/definitions/DictWithDict"},
}
],
}
},
"/list_of_list_form": {
"post": {
"operationId": "post_list_of_list_form",
"responses": {200: {"description": "successful operation"}},
"parameters": [
{"name": "all_matching", "in": "query", "type": "boolean"},
{
"name": "rules",
"in": "formData",
"collectionFormat": "multi",
"type": "array",
"items": {"items": {"type": "string"}, "type": "array"},
},
{
"name": "items",
"in": "formData",
"collectionFormat": "multi",
"type": "array",
"items": {"items": {"type": "string"}, "type": "array"},
},
],
"consumes": [
"application/x-www-form-urlencoded",
"multipart/form-data",
],
}
},
"/all_parameters_types": {
"get": {
"operationId": "get_all_parameters_types",
"produces": ["application/json"],
"parameters": [
{
"description": "integer parameter",
"in": "query",
"name": "query_integer",
"required": True,
"type": "integer",
},
{
"description": "integer 32 parameter",
"in": "query",
"name": "query_integer32",
"required": True,
"type": "integer",
"format": "int32",
},
{
"description": "integer 64 parameter",
"in": "query",
"name": "query_integer64",
"required": True,
"type": "integer",
"format": "int64",
},
{
"description": "number parameter",
"in": "query",
"name": "query_number",
"required": True,
"type": "number",
},
{
"description": "number float parameter",
"in": "query",
"name": "query_float",
"required": True,
"type": "number",
"format": "float",
},
{
"description": "number double parameter",
"in": "query",
"name": "query_double",
"required": True,
"type": "number",
"format": "double",
},
{
"description": "string parameter",
"in": "query",
"name": "query_string",
"required": True,
"type": "string",
},
{
"description": "string byte parameter",
"in": "query",
"name": "query_string_byte",
"required": True,
"type": "string",
"format": "byte",
},
{
"description": "string binary parameter",
"in": "query",
"name": "query_string_binary",
"required": True,
"type": "string",
"format": "binary",
},
{
"description": "boolean parameter",
"in": "query",
"name": "query_boolean",
"required": True,
"type": "boolean",
},
{
"description": "date parameter",
"in": "query",
"name": "query_date",
"required": True,
"type": "string",
"format": "date",
},
{
"description": "date time parameter",
"in": "query",
"name": "query_date_time",
"required": True,
"type": "string",
"format": "date-time",
},
{
"description": "password parameter",
"in": "query",
"name": "query_password",
"required": True,
"type": "string",
"format": "password",
},
{
"description": "integer array parameter",
"in": "query",
"name": "query_array_integer",
"required": True,
"items": {"type": "integer"},
"type": "array",
"collectionFormat": "multi",
},
{
"description": "integer 32 array parameter",
"in": "query",
"name": "query_array_integer32",
"required": True,
"items": {"type": "integer", "format": "int32"},
"type": "array",
"collectionFormat": "multi",
},
{
"description": "integer 64 array parameter",
"in": "query",
"name": "query_array_integer64",
"required": True,
"items": {"type": "integer", "format": "int64"},
"type": "array",
"collectionFormat": "multi",
},
{
"description": "number array parameter",
"in": "query",
"name": "query_array_number",
"required": True,
"items": {"type": "number"},
"type": "array",
"collectionFormat": "multi",
},
{
"description": "number float array parameter",
"in": "query",
"name": "query_array_float",
"required": True,
"items": {"type": "number", "format": "float"},
"type": "array",
"collectionFormat": "multi",
},
{
"description": "number double array parameter",
"in": "query",
"name": "query_array_double",
"required": True,
"items": {"type": "number", "format": "double"},
"type": "array",
"collectionFormat": "multi",
},
{
"description": "string array parameter",
"in": "query",
"name": "query_array_string",
"required": True,
"items": {"type": "string"},
"type": "array",
"collectionFormat": "multi",
},
{
"description": "string byte array parameter",
"in": "query",
"name": "query_array_string_byte",
"required": True,
"items": {"type": "string", "format": "byte"},
"type": "array",
"collectionFormat": "multi",
},
{
"description": "string binary array parameter",
"in": "query",
"name": "query_array_string_binary",
"required": True,
"items": {"type": "string", "format": "binary"},
"type": "array",
"collectionFormat": "multi",
},
{
"description": "boolean array parameter",
"in": "query",
"name": "query_array_boolean",
"required": True,
"items": {"type": "boolean"},
"type": "array",
"collectionFormat": "multi",
},
{
"description": "date array parameter",
"in": "query",
"name": "query_array_date",
"required": True,
"items": {"type": "string", "format": "date"},
"type": "array",
"collectionFormat": "multi",
},
{
"description": "date time array parameter",
"in": "query",
"name": "query_array_date_time",
"required": True,
"items": {"type": "string", "format": "date-time"},
"type": "array",
"collectionFormat": "multi",
},
{
"description": "password array parameter",
"in": "query",
"name": "query_array_password",
"required": True,
"items": {"type": "string", "format": "password"},
"type": "array",
"collectionFormat": "multi",
},
],
"responses": {
200: {
"description": "successful operation",
"schema": {
"$ref": "#/definitions/AllMandatoryParameters"
},
}
},
},
"post": {
"operationId": "post_all_parameters_types",
"produces": ["application/json"],
"parameters": [
{
"description": "integer parameter",
"in": "query",
"name": "query_integer",
"required": True,
"type": "integer",
},
{
"description": "integer 32 parameter",
"in": "query",
"name": "query_integer32",
"required": True,
"type": "integer",
"format": "int32",
},
{
"description": "integer 64 parameter",
"in": "query",
"name": "query_integer64",
"required": True,
"type": "integer",
"format": "int64",
},
{
"description": "number parameter",
"in": "query",
"name": "query_number",
"required": True,
"type": "number",
},
{
"description": "number float parameter",
"in": "query",
"name": "query_float",
"required": True,
"type": "number",
"format": "float",
},
{
"description": "number double parameter",
"in": "query",
"name": "query_double",
"required": True,
"type": "number",
"format": "double",
},
{
"description": "string parameter",
"in": "query",
"name": "query_string",
"required": True,
"type": "string",
},
{
"description": "string byte parameter",
"in": "query",
"name": "query_string_byte",
"required": True,
"type": "string",
"format": "byte",
},
{
"description": "string binary parameter",
"in": "query",
"name": "query_string_binary",
"required": True,
"type": "string",
"format": "binary",
},
{
"description": "boolean parameter",
"in": "query",
"name": "query_boolean",
"required": True,
"type": "boolean",
},
{
"description": "date parameter",
"in": "query",
"name": "query_date",
"required": True,
"type": "string",
"format": "date",
},
{
"description": "date time parameter",
"in": "query",
"name": "query_date_time",
"required": True,
"type": "string",
"format": "date-time",
},
{
"description": "password parameter",
"in": "query",
"name": "query_password",
"required": True,
"type": "string",
"format": "password",
},
{
"description": "integer array parameter",
"in": "query",
"name": "query_array_integer",
"required": True,
"items": {"type": "integer"},
"type": "array",
},
{
"description": "integer 32 array parameter",
"in": "query",
"name": "query_array_integer32",
"required": True,
"items": {"type": "integer", "format": "int32"},
"type": "array",
},
{
"description": "integer 64 array parameter",
"in": "query",
"name": "query_array_integer64",
"required": True,
"items": {"type": "integer", "format": "int64"},
"type": "array",
},
{
"description": "number array parameter",
"in": "query",
"name": "query_array_number",
"required": True,
"items": {"type": "number"},
"type": "array",
},
{
"description": "number float array parameter",
"in": "query",
"name": "query_array_float",
"required": True,
"items": {"type": "number", "format": "float"},
"type": "array",
},
{
"description": "number double array parameter",
"in": "query",
"name": "query_array_double",
"required": True,
"items": {"type": "number", "format": "double"},
"type": "array",
},
{
"description": "string array parameter",
"in": "query",
"name": "query_array_string",
"required": True,
"items": {"type": "string"},
"type": "array",
},
{
"description": "string byte array parameter",
"in": "query",
"name": "query_array_string_byte",
"required": True,
"items": {"type": "string", "format": "byte"},
"type": "array",
},
{
"description": "string binary array parameter",
"in": "query",
"name": "query_array_string_binary",
"required": True,
"items": {"type": "string", "format": "binary"},
"type": "array",
},
{
"description": "boolean array parameter",
"in": "query",
"name": "query_array_boolean",
"required": True,
"items": {"type": "boolean"},
"type": "array",
},
{
"description": "date array parameter",
"in": "query",
"name": "query_array_date",
"required": True,
"items": {"type": "string", "format": "date"},
"type": "array",
},
{
"description": "date time array parameter",
"in": "query",
"name": "query_array_date_time",
"required": True,
"items": {"type": "string", "format": "date-time"},
"type": "array",
},
{
"description": "password array parameter",
"in": "query",
"name": "query_array_password",
"required": True,
"items": {"type": "string", "format": "password"},
"type": "array",
},
],
"responses": {
200: {
"description": "successful operation",
"schema": {
"items": {"$ref": "#/definitions/TestObject"},
"type": "array",
},
}
},
},
"put": {
"operationId": "put_all_parameters_types",
"produces": ["application/json"],
"parameters": [
{
"description": "integer parameter",
"in": "query",
"name": "query_integer",
"required": True,
"type": "integer",
},
{
"description": "integer 32 parameter",
"in": "query",
"name": "query_integer32",
"required": True,
"type": "integer",
"format": "int32",
},
{
"description": "integer 64 parameter",
"in": "query",
"name": "query_integer64",
"required": True,
"type": "integer",
"format": "int64",
},
{
"description": "number parameter",
"in": "query",
"name": "query_number",
"required": True,
"type": "number",
},
{
"description": "number float parameter",
"in": "query",
"name": "query_float",
"required": True,
"type": "number",
"format": "float",
},
{
"description": "number double parameter",
"in": "query",
"name": "query_double",
"required": True,
"type": "number",
"format": "double",
},
{
"description": "string parameter",
"in": "query",
"name": "query_string",
"required": True,
"type": "string",
},
{
"description": "string byte parameter",
"in": "query",
"name": "query_string_byte",
"required": True,
"type": "string",
"format": "byte",
},
{
"description": "string binary parameter",
"in": "query",
"name": "query_string_binary",
"required": True,
"type": "string",
"format": "binary",
},
{
"description": "boolean parameter",
"in": "query",
"name": "query_boolean",
"required": True,
"type": "boolean",
},
{
"description": "date parameter",
"in": "query",
"name": "query_date",
"required": True,
"type": "string",
"format": "date",
},
{
"description": "date time parameter",
"in": "query",
"name": "query_date_time",
"required": True,
"type": "string",
"format": "date-time",
},
{
"description": "password parameter",
"in": "query",
"name": "query_password",
"required": True,
"type": "string",
"format": "password",
},
{
"description": "integer array parameter",
"in": "query",
"name": "query_array_integer",
"required": True,
"items": {"type": "integer"},
"type": "array",
},
{
"description": "integer 32 array parameter",
"in": "query",
"name": "query_array_integer32",
"required": True,
"items": {"type": "integer", "format": "int32"},
"type": "array",
},
{
"description": "integer 64 array parameter",
"in": "query",
"name": "query_array_integer64",
"required": True,
"items": {"type": "integer", "format": "int64"},
"type": "array",
},
{
"description": "number array parameter",
"in": "query",
"name": "query_array_number",
"required": True,
"items": {"type": "number"},
"type": "array",
},
{
"description": "number float array parameter",
"in": "query",
"name": "query_array_float",
"required": True,
"items": {"type": "number", "format": "float"},
"type": "array",
},
{
"description": "number double array parameter",
"in": "query",
"name": "query_array_double",
"required": True,
"items": {"type": "number", "format": "double"},
"type": "array",
},
{
"description": "string array parameter",
"in": "query",
"name": "query_array_string",
"required": True,
"items": {"type": "string"},
"type": "array",
},
{
"description": "string byte array parameter",
"in": "query",
"name": "query_array_string_byte",
"required": True,
"items": {"type": "string", "format": "byte"},
"type": "array",
},
{
"description": "string binary array parameter",
"in": "query",
"name": "query_array_string_binary",
"required": True,
"items": {"type": "string", "format": "binary"},
"type": "array",
},
{
"description": "boolean array parameter",
"in": "query",
"name": "query_array_boolean",
"required": True,
"items": {"type": "boolean"},
"type": "array",
},
{
"description": "date array parameter",
"in": "query",
"name": "query_array_date",
"required": True,
"items": {"type": "string", "format": "date"},
"type": "array",
},
{
"description": "date time array parameter",
"in": "query",
"name": "query_array_date_time",
"required": True,
"items": {"type": "string", "format": "date-time"},
"type": "array",
},
{
"description": "password array parameter",
"in": "query",
"name": "query_array_password",
"required": True,
"items": {"type": "string", "format": "password"},
"type": "array",
},
],
"responses": {
200: {
"description": "successful operation",
"schema": {
"items": {"$ref": "#/definitions/TestObject"},
"type": "array",
},
}
},
},
"delete": {
"operationId": "delete_all_parameters_types",
"produces": ["application/json"],
"parameters": [
{
"description": "integer parameter",
"in": "query",
"name": "query_integer",
"required": True,
"type": "integer",
},
{
"description": "integer 32 parameter",
"in": "query",
"name": "query_integer32",
"required": True,
"type": "integer",
"format": "int32",
},
{
"description": "integer 64 parameter",
"in": "query",
"name": "query_integer64",
"required": True,
"type": "integer",
"format": "int64",
},
{
"description": "number parameter",
"in": "query",
"name": "query_number",
"required": True,
"type": "number",
},
{
"description": "number float parameter",
"in": "query",
"name": "query_float",
"required": True,
"type": "number",
"format": "float",
},
{
"description": "number double parameter",
"in": "query",
"name": "query_double",
"required": True,
"type": "number",
"format": "double",
},
{
"description": "string parameter",
"in": "query",
"name": "query_string",
"required": True,
"type": "string",
},
{
"description": "string byte parameter",
"in": "query",
"name": "query_string_byte",
"required": True,
"type": "string",
"format": "byte",
},
{
"description": "string binary parameter",
"in": "query",
"name": "query_string_binary",
"required": True,
"type": "string",
"format": "binary",
},
{
"description": "boolean parameter",
"in": "query",
"name": "query_boolean",
"required": True,
"type": "boolean",
},
{
"description": "date parameter",
"in": "query",
"name": "query_date",
"required": True,
"type": "string",
"format": "date",
},
{
"description": "date time parameter",
"in": "query",
"name": "query_date_time",
"required": True,
"type": "string",
"format": "date-time",
},
{
"description": "password parameter",
"in": "query",
"name": "query_password",
"required": True,
"type": "string",
"format": "password",
},
{
"description": "integer array parameter",
"in": "query",
"name": "query_array_integer",
"required": True,
"items": {"type": "integer"},
"type": "array",
},
{
"description": "integer 32 array parameter",
"in": "query",
"name": "query_array_integer32",
"required": True,
"items": {"type": "integer", "format": "int32"},
"type": "array",
},
{
"description": "integer 64 array parameter",
"in": "query",
"name": "query_array_integer64",
"required": True,
"items": {"type": "integer", "format": "int64"},
"type": "array",
},
{
"description": "number array parameter",
"in": "query",
"name": "query_array_number",
"required": True,
"items": {"type": "number"},
"type": "array",
},
{
"description": "number float array parameter",
"in": "query",
"name": "query_array_float",
"required": True,
"items": {"type": "number", "format": "float"},
"type": "array",
},
{
"description": "number double array parameter",
"in": "query",
"name": "query_array_double",
"required": True,
"items": {"type": "number", "format": "double"},
"type": "array",
},
{
"description": "string array parameter",
"in": "query",
"name": "query_array_string",
"required": True,
"items": {"type": "string"},
"type": "array",
},
{
"description": "string byte array parameter",
"in": "query",
"name": "query_array_string_byte",
"required": True,
"items": {"type": "string", "format": "byte"},
"type": "array",
},
{
"description": "string binary array parameter",
"in": "query",
"name": "query_array_string_binary",
"required": True,
"items": {"type": "string", "format": "binary"},
"type": "array",
},
{
"description": "boolean array parameter",
"in": "query",
"name": "query_array_boolean",
"required": True,
"items": {"type": "boolean"},
"type": "array",
},
{
"description": "date array parameter",
"in": "query",
"name": "query_array_date",
"required": True,
"items": {"type": "string", "format": "date"},
"type": "array",
},
{
"description": "date time array parameter",
"in": "query",
"name": "query_array_date_time",
"required": True,
"items": {"type": "string", "format": "date-time"},
"type": "array",
},
{
"description": "password array parameter",
"in": "query",
"name": "query_array_password",
"required": True,
"items": {"type": "string", "format": "password"},
"type": "array",
},
],
"responses": {
200: {
"description": "successful operation",
"schema": {
"items": {"$ref": "#/definitions/TestObject"},
"type": "array",
},
}
},
},
},
"/all_optional_parameters_types": {
"get": {
"operationId": "get_all_optional_parameters_types",
"produces": ["application/json"],
"parameters": [
{
"description": "integer parameter",
"in": "query",
"name": "query_integer",
"required": False,
"type": "integer",
},
{
"description": "integer 32 parameter",
"in": "query",
"name": "query_integer32",
"required": False,
"type": "integer",
"format": "int32",
},
{
"description": "integer 64 parameter",
"in": "query",
"name": "query_integer64",
"required": False,
"type": "integer",
"format": "int64",
},
{
"description": "number parameter",
"in": "query",
"name": "query_number",
"required": False,
"type": "number",
},
{
"description": "number float parameter",
"in": "query",
"name": "query_float",
"required": False,
"type": "number",
"format": "float",
},
{
"description": "number double parameter",
"in": "query",
"name": "query_double",
"required": False,
"type": "number",
"format": "double",
},
{
"description": "string parameter",
"in": "query",
"name": "query_string",
"required": False,
"type": "string",
},
{
"description": "string byte parameter",
"in": "query",
"name": "query_string_byte",
"required": False,
"type": "string",
"format": "byte",
},
{
"description": "string binary parameter",
"in": "query",
"name": "query_string_binary",
"required": False,
"type": "string",
"format": "binary",
},
{
"description": "boolean parameter",
"in": "query",
"name": "query_boolean",
"required": False,
"type": "boolean",
},
{
"description": "date parameter",
"in": "query",
"name": "query_date",
"required": False,
"type": "string",
"format": "date",
},
{
"description": "date time parameter",
"in": "query",
"name": "query_date_time",
"required": False,
"type": "string",
"format": "date-time",
},
{
"description": "password parameter",
"in": "query",
"name": "query_password",
"required": False,
"type": "string",
"format": "password",
},
{
"description": "integer array parameter",
"in": "query",
"name": "query_array_integer",
"required": False,
"items": {"type": "integer"},
"type": "array",
},
{
"description": "integer 32 array parameter",
"in": "query",
"name": "query_array_integer32",
"required": False,
"items": {"type": "integer", "format": "int32"},
"type": "array",
},
{
"description": "integer 64 array parameter",
"in": "query",
"name": "query_array_integer64",
"required": False,
"items": {"type": "integer", "format": "int64"},
"type": "array",
},
{
"description": "number array parameter",
"in": "query",
"name": "query_array_number",
"required": False,
"items": {"type": "number"},
"type": "array",
},
{
"description": "number float array parameter",
"in": "query",
"name": "query_array_float",
"required": False,
"items": {"type": "number", "format": "float"},
"type": "array",
},
{
"description": "number double array parameter",
"in": "query",
"name": "query_array_double",
"required": False,
"items": {"type": "number", "format": "double"},
"type": "array",
},
{
"description": "string array parameter",
"in": "query",
"name": "query_array_string",
"required": False,
"items": {"type": "string"},
"type": "array",
},
{
"description": "string byte array parameter",
"in": "query",
"name": "query_array_string_byte",
"required": False,
"items": {"type": "string", "format": "byte"},
"type": "array",
},
{
"description": "string binary array parameter",
"in": "query",
"name": "query_array_string_binary",
"required": False,
"items": {"type": "string", "format": "binary"},
"type": "array",
},
{
"description": "boolean array parameter",
"in": "query",
"name": "query_array_boolean",
"required": False,
"items": {"type": "boolean"},
"type": "array",
},
{
"description": "date array parameter",
"in": "query",
"name": "query_array_date",
"required": False,
"items": {"type": "string", "format": "date"},
"type": "array",
},
{
"description": "date time array parameter",
"in": "query",
"name": "query_array_date_time",
"required": False,
"items": {"type": "string", "format": "date-time"},
"type": "array",
},
{
"description": "password array parameter",
"in": "query",
"name": "query_array_password",
"required": False,
"items": {"type": "string", "format": "password"},
"type": "array",
},
],
"responses": {
200: {
"description": "successful operation",
"schema": {
"items": {"$ref": "#/definitions/TestObject"},
"type": "array",
},
}
},
},
"post": {
"operationId": "post_all_optional_parameters_types",
"produces": ["application/json"],
"parameters": [
{
"description": "integer parameter",
"in": "query",
"name": "query_integer",
"required": False,
"type": "integer",
},
{
"description": "integer 32 parameter",
"in": "query",
"name": "query_integer32",
"required": False,
"type": "integer",
"format": "int32",
},
{
"description": "integer 64 parameter",
"in": "query",
"name": "query_integer64",
"required": False,
"type": "integer",
"format": "int64",
},
{
"description": "number parameter",
"in": "query",
"name": "query_number",
"required": False,
"type": "number",
},
{
"description": "number float parameter",
"in": "query",
"name": "query_float",
"required": False,
"type": "number",
"format": "float",
},
{
"description": "number double parameter",
"in": "query",
"name": "query_double",
"required": False,
"type": "number",
"format": "double",
},
{
"description": "string parameter",
"in": "query",
"name": "query_string",
"required": False,
"type": "string",
},
{
"description": "string byte parameter",
"in": "query",
"name": "query_string_byte",
"required": False,
"type": "string",
"format": "byte",
},
{
"description": "string binary parameter",
"in": "query",
"name": "query_string_binary",
"required": False,
"type": "string",
"format": "binary",
},
{
"description": "boolean parameter",
"in": "query",
"name": "query_boolean",
"required": False,
"type": "boolean",
},
{
"description": "date parameter",
"in": "query",
"name": "query_date",
"required": False,
"type": "string",
"format": "date",
},
{
"description": "date time parameter",
"in": "query",
"name": "query_date_time",
"required": False,
"type": "string",
"format": "date-time",
},
{
"description": "password parameter",
"in": "query",
"name": "query_password",
"required": False,
"type": "string",
"format": "password",
},
{
"description": "integer array parameter",
"in": "query",
"name": "query_array_integer",
"required": False,
"items": {"type": "integer"},
"type": "array",
},
{
"description": "integer 32 array parameter",
"in": "query",
"name": "query_array_integer32",
"required": False,
"items": {"type": "integer", "format": "int32"},
"type": "array",
},
{
"description": "integer 64 array parameter",
"in": "query",
"name": "query_array_integer64",
"required": False,
"items": {"type": "integer", "format": "int64"},
"type": "array",
},
{
"description": "number array parameter",
"in": "query",
"name": "query_array_number",
"required": False,
"items": {"type": "number"},
"type": "array",
},
{
"description": "number float array parameter",
"in": "query",
"name": "query_array_float",
"required": False,
"items": {"type": "number", "format": "float"},
"type": "array",
},
{
"description": "number double array parameter",
"in": "query",
"name": "query_array_double",
"required": False,
"items": {"type": "number", "format": "double"},
"type": "array",
},
{
"description": "string array parameter",
"in": "query",
"name": "query_array_string",
"required": False,
"items": {"type": "string"},
"type": "array",
},
{
"description": "string byte array parameter",
"in": "query",
"name": "query_array_string_byte",
"required": False,
"items": {"type": "string", "format": "byte"},
"type": "array",
},
{
"description": "string binary array parameter",
"in": "query",
"name": "query_array_string_binary",
"required": False,
"items": {"type": "string", "format": "binary"},
"type": "array",
},
{
"description": "boolean array parameter",
"in": "query",
"name": "query_array_boolean",
"required": False,
"items": {"type": "boolean"},
"type": "array",
},
{
"description": "date array parameter",
"in": "query",
"name": "query_array_date",
"required": False,
"items": {"type": "string", "format": "date"},
"type": "array",
},
{
"description": "date time array parameter",
"in": "query",
"name": "query_array_date_time",
"required": False,
"items": {"type": "string", "format": "date-time"},
"type": "array",
},
{
"description": "password array parameter",
"in": "query",
"name": "query_array_password",
"required": False,
"items": {"type": "string", "format": "password"},
"type": "array",
},
],
"responses": {
200: {
"description": "successful operation",
"schema": {
"items": {"$ref": "#/definitions/TestObject"},
"type": "array",
},
}
},
},
"put": {
"operationId": "put_all_optional_parameters_types",
"produces": ["application/json"],
"parameters": [
{
"description": "integer parameter",
"in": "query",
"name": "query_integer",
"required": False,
"type": "integer",
},
{
"description": "integer 32 parameter",
"in": "query",
"name": "query_integer32",
"required": False,
"type": "integer",
"format": "int32",
},
{
"description": "integer 64 parameter",
"in": "query",
"name": "query_integer64",
"required": False,
"type": "integer",
"format": "int64",
},
{
"description": "number parameter",
"in": "query",
"name": "query_number",
"required": False,
"type": "number",
},
{
"description": "number float parameter",
"in": "query",
"name": "query_float",
"required": False,
"type": "number",
"format": "float",
},
{
"description": "number double parameter",
"in": "query",
"name": "query_double",
"required": False,
"type": "number",
"format": "double",
},
{
"description": "string parameter",
"in": "query",
"name": "query_string",
"required": False,
"type": "string",
},
{
"description": "string byte parameter",
"in": "query",
"name": "query_string_byte",
"required": False,
"type": "string",
"format": "byte",
},
{
"description": "string binary parameter",
"in": "query",
"name": "query_string_binary",
"required": False,
"type": "string",
"format": "binary",
},
{
"description": "boolean parameter",
"in": "query",
"name": "query_boolean",
"required": False,
"type": "boolean",
},
{
"description": "date parameter",
"in": "query",
"name": "query_date",
"required": False,
"type": "string",
"format": "date",
},
{
"description": "date time parameter",
"in": "query",
"name": "query_date_time",
"required": False,
"type": "string",
"format": "date-time",
},
{
"description": "password parameter",
"in": "query",
"name": "query_password",
"required": False,
"type": "string",
"format": "password",
},
{
"description": "integer array parameter",
"in": "query",
"name": "query_array_integer",
"required": False,
"items": {"type": "integer"},
"type": "array",
},
{
"description": "integer 32 array parameter",
"in": "query",
"name": "query_array_integer32",
"required": False,
"items": {"type": "integer", "format": "int32"},
"type": "array",
},
{
"description": "integer 64 array parameter",
"in": "query",
"name": "query_array_integer64",
"required": False,
"items": {"type": "integer", "format": "int64"},
"type": "array",
},
{
"description": "number array parameter",
"in": "query",
"name": "query_array_number",
"required": False,
"items": {"type": "number"},
"type": "array",
},
{
"description": "number float array parameter",
"in": "query",
"name": "query_array_float",
"required": False,
"items": {"type": "number", "format": "float"},
"type": "array",
},
{
"description": "number double array parameter",
"in": "query",
"name": "query_array_double",
"required": False,
"items": {"type": "number", "format": "double"},
"type": "array",
},
{
"description": "string array parameter",
"in": "query",
"name": "query_array_string",
"required": False,
"items": {"type": "string"},
"type": "array",
},
{
"description": "string byte array parameter",
"in": "query",
"name": "query_array_string_byte",
"required": False,
"items": {"type": "string", "format": "byte"},
"type": "array",
},
{
"description": "string binary array parameter",
"in": "query",
"name": "query_array_string_binary",
"required": False,
"items": {"type": "string", "format": "binary"},
"type": "array",
},
{
"description": "boolean array parameter",
"in": "query",
"name": "query_array_boolean",
"required": False,
"items": {"type": "boolean"},
"type": "array",
},
{
"description": "date array parameter",
"in": "query",
"name": "query_array_date",
"required": False,
"items": {"type": "string", "format": "date"},
"type": "array",
},
{
"description": "date time array parameter",
"in": "query",
"name": "query_array_date_time",
"required": False,
"items": {"type": "string", "format": "date-time"},
"type": "array",
},
{
"description": "password array parameter",
"in": "query",
"name": "query_array_password",
"required": False,
"items": {"type": "string", "format": "password"},
"type": "array",
},
],
"responses": {
200: {
"description": "successful operation",
"schema": {
"items": {"$ref": "#/definitions/TestObject"},
"type": "array",
},
}
},
},
"delete": {
"operationId": "delete_all_optional_parameters_types",
"produces": ["application/json"],
"parameters": [
{
"description": "integer parameter",
"in": "query",
"name": "query_integer",
"required": False,
"type": "integer",
},
{
"description": "integer 32 parameter",
"in": "query",
"name": "query_integer32",
"required": False,
"type": "integer",
"format": "int32",
},
{
"description": "integer 64 parameter",
"in": "query",
"name": "query_integer64",
"required": False,
"type": "integer",
"format": "int64",
},
{
"description": "number parameter",
"in": "query",
"name": "query_number",
"required": False,
"type": "number",
},
{
"description": "number float parameter",
"in": "query",
"name": "query_float",
"required": False,
"type": "number",
"format": "float",
},
{
"description": "number double parameter",
"in": "query",
"name": "query_double",
"required": False,
"type": "number",
"format": "double",
},
{
"description": "string parameter",
"in": "query",
"name": "query_string",
"required": False,
"type": "string",
},
{
"description": "string byte parameter",
"in": "query",
"name": "query_string_byte",
"required": False,
"type": "string",
"format": "byte",
},
{
"description": "string binary parameter",
"in": "query",
"name": "query_string_binary",
"required": False,
"type": "string",
"format": "binary",
},
{
"description": "boolean parameter",
"in": "query",
"name": "query_boolean",
"required": False,
"type": "boolean",
},
{
"description": "date parameter",
"in": "query",
"name": "query_date",
"required": False,
"type": "string",
"format": "date",
},
{
"description": "date time parameter",
"in": "query",
"name": "query_date_time",
"required": False,
"type": "string",
"format": "date-time",
},
{
"description": "password parameter",
"in": "query",
"name": "query_password",
"required": False,
"type": "string",
"format": "password",
},
{
"description": "integer array parameter",
"in": "query",
"name": "query_array_integer",
"required": False,
"items": {"type": "integer"},
"type": "array",
},
{
"description": "integer 32 array parameter",
"in": "query",
"name": "query_array_integer32",
"required": False,
"items": {"type": "integer", "format": "int32"},
"type": "array",
},
{
"description": "integer 64 array parameter",
"in": "query",
"name": "query_array_integer64",
"required": False,
"items": {"type": "integer", "format": "int64"},
"type": "array",
},
{
"description": "number array parameter",
"in": "query",
"name": "query_array_number",
"required": False,
"items": {"type": "number"},
"type": "array",
},
{
"description": "number float array parameter",
"in": "query",
"name": "query_array_float",
"required": False,
"items": {"type": "number", "format": "float"},
"type": "array",
},
{
"description": "number double array parameter",
"in": "query",
"name": "query_array_double",
"required": False,
"items": {"type": "number", "format": "double"},
"type": "array",
},
{
"description": "string array parameter",
"in": "query",
"name": "query_array_string",
"required": False,
"items": {"type": "string"},
"type": "array",
},
{
"description": "string byte array parameter",
"in": "query",
"name": "query_array_string_byte",
"required": False,
"items": {"type": "string", "format": "byte"},
"type": "array",
},
{
"description": "string binary array parameter",
"in": "query",
"name": "query_array_string_binary",
"required": False,
"items": {"type": "string", "format": "binary"},
"type": "array",
},
{
"description": "boolean array parameter",
"in": "query",
"name": "query_array_boolean",
"required": False,
"items": {"type": "boolean"},
"type": "array",
},
{
"description": "date array parameter",
"in": "query",
"name": "query_array_date",
"required": False,
"items": {"type": "string", "format": "date"},
"type": "array",
},
{
"description": "date time array parameter",
"in": "query",
"name": "query_array_date_time",
"required": False,
"items": {"type": "string", "format": "date-time"},
"type": "array",
},
{
"description": "password array parameter",
"in": "query",
"name": "query_array_password",
"required": False,
"items": {"type": "string", "format": "password"},
"type": "array",
},
],
"responses": {
200: {
"description": "successful operation",
"schema": {
"items": {"$ref": "#/definitions/TestObject"},
"type": "array",
},
}
},
},
},
"/all_paths_types": {
"get": {
"operationId": "get_all_paths_types",
"produces": ["application/json"],
"parameters": [
{
"description": "integer path",
"in": "path",
"name": "path_integer",
"required": True,
"type": "integer",
},
{
"description": "integer 32 path",
"in": "path",
"name": "path_integer32",
"required": True,
"type": "integer",
"format": "int32",
},
{
"description": "integer 64 path",
"in": "path",
"name": "path_integer64",
"required": True,
"type": "integer",
"format": "int64",
},
{
"description": "number path",
"in": "path",
"name": "path_number",
"required": True,
"type": "number",
},
{
"description": "number float path",
"in": "path",
"name": "path_float",
"required": True,
"type": "number",
"format": "float",
},
{
"description": "number double path",
"in": "path",
"name": "path_double",
"required": True,
"type": "number",
"format": "double",
},
{
"description": "string path",
"in": "path",
"name": "path_string",
"required": True,
"type": "string",
},
{
"description": "string byte path",
"in": "path",
"name": "path_string_byte",
"required": True,
"type": "string",
"format": "byte",
},
{
"description": "string binary path",
"in": "path",
"name": "path_string_binary",
"required": True,
"type": "string",
"format": "binary",
},
{
"description": "boolean path",
"in": "path",
"name": "path_boolean",
"required": True,
"type": "boolean",
},
{
"description": "date path",
"in": "path",
"name": "path_date",
"required": True,
"type": "string",
"format": "date",
},
{
"description": "date time path",
"in": "path",
"name": "path_date_time",
"required": True,
"type": "string",
"format": "date-time",
},
{
"description": "password path",
"in": "path",
"name": "path_password",
"required": True,
"type": "string",
"format": "password",
},
{
"description": "integer array path",
"in": "path",
"name": "path_array_integer",
"required": True,
"items": {"type": "integer"},
"type": "array",
},
{
"description": "integer 32 array path",
"in": "path",
"name": "path_array_integer32",
"required": True,
"items": {"type": "integer", "format": "int32"},
"type": "array",
},
{
"description": "integer 64 array path",
"in": "path",
"name": "path_array_integer64",
"required": True,
"items": {"type": "integer", "format": "int64"},
"type": "array",
},
{
"description": "number array path",
"in": "path",
"name": "path_array_number",
"required": True,
"items": {"type": "number"},
"type": "array",
},
{
"description": "number float array path",
"in": "path",
"name": "path_array_float",
"required": True,
"items": {"type": "number", "format": "float"},
"type": "array",
},
{
"description": "number double array path",
"in": "path",
"name": "path_array_double",
"required": True,
"items": {"type": "number", "format": "double"},
"type": "array",
},
{
"description": "string array path",
"in": "path",
"name": "path_array_string",
"required": True,
"items": {"type": "string"},
"type": "array",
},
{
"description": "string byte array path",
"in": "path",
"name": "path_array_string_byte",
"required": True,
"items": {"type": "string", "format": "byte"},
"type": "array",
},
{
"description": "string binary array path",
"in": "path",
"name": "path_array_string_binary",
"required": True,
"items": {"type": "string", "format": "binary"},
"type": "array",
},
{
"description": "boolean array path",
"in": "path",
"name": "path_array_boolean",
"required": True,
"items": {"type": "boolean"},
"type": "array",
},
{
"description": "date array path",
"in": "path",
"name": "path_array_date",
"required": True,
"items": {"type": "string", "format": "date"},
"type": "array",
},
{
"description": "date time array path",
"in": "path",
"name": "path_array_date_time",
"required": True,
"items": {"type": "string", "format": "date-time"},
"type": "array",
},
{
"description": "password array path",
"in": "path",
"name": "path_array_password",
"required": True,
"items": {"type": "string", "format": "password"},
"type": "array",
},
],
"responses": {
200: {
"description": "successful operation",
"schema": {
"items": {"$ref": "#/definitions/TestObject"},
"type": "array",
},
}
},
},
"post": {
"operationId": "post_all_paths_types",
"produces": ["application/json"],
"parameters": [
{
"description": "integer path",
"in": "path",
"name": "path_integer",
"required": True,
"type": "integer",
},
{
"description": "integer 32 path",
"in": "path",
"name": "path_integer32",
"required": True,
"type": "integer",
"format": "int32",
},
{
"description": "integer 64 path",
"in": "path",
"name": "path_integer64",
"required": True,
"type": "integer",
"format": "int64",
},
{
"description": "number path",
"in": "path",
"name": "path_number",
"required": True,
"type": "number",
},
{
"description": "number float path",
"in": "path",
"name": "path_float",
"required": True,
"type": "number",
"format": "float",
},
{
"description": "number double path",
"in": "path",
"name": "path_double",
"required": True,
"type": "number",
"format": "double",
},
{
"description": "string path",
"in": "path",
"name": "path_string",
"required": True,
"type": "string",
},
{
"description": "string byte path",
"in": "path",
"name": "path_string_byte",
"required": True,
"type": "string",
"format": "byte",
},
{
"description": "string binary path",
"in": "path",
"name": "path_string_binary",
"required": True,
"type": "string",
"format": "binary",
},
{
"description": "boolean path",
"in": "path",
"name": "path_boolean",
"required": True,
"type": "boolean",
},
{
"description": "date path",
"in": "path",
"name": "path_date",
"required": True,
"type": "string",
"format": "date",
},
{
"description": "date time path",
"in": "path",
"name": "path_date_time",
"required": True,
"type": "string",
"format": "date-time",
},
{
"description": "password path",
"in": "path",
"name": "path_password",
"required": True,
"type": "string",
"format": "password",
},
{
"description": "integer array path",
"in": "path",
"name": "path_array_integer",
"required": True,
"items": {"type": "integer"},
"type": "array",
},
{
"description": "integer 32 array path",
"in": "path",
"name": "path_array_integer32",
"required": True,
"items": {"type": "integer", "format": "int32"},
"type": "array",
},
{
"description": "integer 64 array path",
"in": "path",
"name": "path_array_integer64",
"required": True,
"items": {"type": "integer", "format": "int64"},
"type": "array",
},
{
"description": "number array path",
"in": "path",
"name": "path_array_number",
"required": True,
"items": {"type": "number"},
"type": "array",
},
{
"description": "number float array path",
"in": "path",
"name": "path_array_float",
"required": True,
"items": {"type": "number", "format": "float"},
"type": "array",
},
{
"description": "number double array path",
"in": "path",
"name": "path_array_double",
"required": True,
"items": {"type": "number", "format": "double"},
"type": "array",
},
{
"description": "string array path",
"in": "path",
"name": "path_array_string",
"required": True,
"items": {"type": "string"},
"type": "array",
},
{
"description": "string byte array path",
"in": "path",
"name": "path_array_string_byte",
"required": True,
"items": {"type": "string", "format": "byte"},
"type": "array",
},
{
"description": "string binary array path",
"in": "path",
"name": "path_array_string_binary",
"required": True,
"items": {"type": "string", "format": "binary"},
"type": "array",
},
{
"description": "boolean array path",
"in": "path",
"name": "path_array_boolean",
"required": True,
"items": {"type": "boolean"},
"type": "array",
},
{
"description": "date array path",
"in": "path",
"name": "path_array_date",
"required": True,
"items": {"type": "string", "format": "date"},
"type": "array",
},
{
"description": "date time array path",
"in": "path",
"name": "path_array_date_time",
"required": True,
"items": {"type": "string", "format": "date-time"},
"type": "array",
},
{
"description": "password array path",
"in": "path",
"name": "path_array_password",
"required": True,
"items": {"type": "string", "format": "password"},
"type": "array",
},
],
"responses": {
200: {
"description": "successful operation",
"schema": {
"items": {"$ref": "#/definitions/TestObject"},
"type": "array",
},
}
},
},
"put": {
"operationId": "put_all_paths_types",
"produces": ["application/json"],
"parameters": [
{
"description": "integer path",
"in": "path",
"name": "path_integer",
"required": True,
"type": "integer",
},
{
"description": "integer 32 path",
"in": "path",
"name": "path_integer32",
"required": True,
"type": "integer",
"format": "int32",
},
{
"description": "integer 64 path",
"in": "path",
"name": "path_integer64",
"required": True,
"type": "integer",
"format": "int64",
},
{
"description": "number path",
"in": "path",
"name": "path_number",
"required": True,
"type": "number",
},
{
"description": "number float path",
"in": "path",
"name": "path_float",
"required": True,
"type": "number",
"format": "float",
},
{
"description": "number double path",
"in": "path",
"name": "path_double",
"required": True,
"type": "number",
"format": "double",
},
{
"description": "string path",
"in": "path",
"name": "path_string",
"required": True,
"type": "string",
},
{
"description": "string byte path",
"in": "path",
"name": "path_string_byte",
"required": True,
"type": "string",
"format": "byte",
},
{
"description": "string binary path",
"in": "path",
"name": "path_string_binary",
"required": True,
"type": "string",
"format": "binary",
},
{
"description": "boolean path",
"in": "path",
"name": "path_boolean",
"required": True,
"type": "boolean",
},
{
"description": "date path",
"in": "path",
"name": "path_date",
"required": True,
"type": "string",
"format": "date",
},
{
"description": "date time path",
"in": "path",
"name": "path_date_time",
"required": True,
"type": "string",
"format": "date-time",
},
{
"description": "password path",
"in": "path",
"name": "path_password",
"required": True,
"type": "string",
"format": "password",
},
{
"description": "integer array path",
"in": "path",
"name": "path_array_integer",
"required": True,
"items": {"type": "integer"},
"type": "array",
},
{
"description": "integer 32 array path",
"in": "path",
"name": "path_array_integer32",
"required": True,
"items": {"type": "integer", "format": "int32"},
"type": "array",
},
{
"description": "integer 64 array path",
"in": "path",
"name": "path_array_integer64",
"required": True,
"items": {"type": "integer", "format": "int64"},
"type": "array",
},
{
"description": "number array path",
"in": "path",
"name": "path_array_number",
"required": True,
"items": {"type": "number"},
"type": "array",
},
{
"description": "number float array path",
"in": "path",
"name": "path_array_float",
"required": True,
"items": {"type": "number", "format": "float"},
"type": "array",
},
{
"description": "number double array path",
"in": "path",
"name": "path_array_double",
"required": True,
"items": {"type": "number", "format": "double"},
"type": "array",
},
{
"description": "string array path",
"in": "path",
"name": "path_array_string",
"required": True,
"items": {"type": "string"},
"type": "array",
},
{
"description": "string byte array path",
"in": "path",
"name": "path_array_string_byte",
"required": True,
"items": {"type": "string", "format": "byte"},
"type": "array",
},
{
"description": "string binary array path",
"in": "path",
"name": "path_array_string_binary",
"required": True,
"items": {"type": "string", "format": "binary"},
"type": "array",
},
{
"description": "boolean array path",
"in": "path",
"name": "path_array_boolean",
"required": True,
"items": {"type": "boolean"},
"type": "array",
},
{
"description": "date array path",
"in": "path",
"name": "path_array_date",
"required": True,
"items": {"type": "string", "format": "date"},
"type": "array",
},
{
"description": "date time array path",
"in": "path",
"name": "path_array_date_time",
"required": True,
"items": {"type": "string", "format": "date-time"},
"type": "array",
},
{
"description": "password array path",
"in": "path",
"name": "path_array_password",
"required": True,
"items": {"type": "string", "format": "password"},
"type": "array",
},
],
"responses": {
200: {
"description": "successful operation",
"schema": {
"items": {"$ref": "#/definitions/TestObject"},
"type": "array",
},
}
},
},
"delete": {
"operationId": "delete_all_paths_types",
"produces": ["application/json"],
"parameters": [
{
"description": "integer path",
"in": "path",
"name": "path_integer",
"required": True,
"type": "integer",
},
{
"description": "integer 32 path",
"in": "path",
"name": "path_integer32",
"required": True,
"type": "integer",
"format": "int32",
},
{
"description": "integer 64 path",
"in": "path",
"name": "path_integer64",
"required": True,
"type": "integer",
"format": "int64",
},
{
"description": "number path",
"in": "path",
"name": "path_number",
"required": True,
"type": "number",
},
{
"description": "number float path",
"in": "path",
"name": "path_float",
"required": True,
"type": "number",
"format": "float",
},
{
"description": "number double path",
"in": "path",
"name": "path_double",
"required": True,
"type": "number",
"format": "double",
},
{
"description": "string path",
"in": "path",
"name": "path_string",
"required": True,
"type": "string",
},
{
"description": "string byte path",
"in": "path",
"name": "path_string_byte",
"required": True,
"type": "string",
"format": "byte",
},
{
"description": "string binary path",
"in": "path",
"name": "path_string_binary",
"required": True,
"type": "string",
"format": "binary",
},
{
"description": "boolean path",
"in": "path",
"name": "path_boolean",
"required": True,
"type": "boolean",
},
{
"description": "date path",
"in": "path",
"name": "path_date",
"required": True,
"type": "string",
"format": "date",
},
{
"description": "date time path",
"in": "path",
"name": "path_date_time",
"required": True,
"type": "string",
"format": "date-time",
},
{
"description": "password path",
"in": "path",
"name": "path_password",
"required": True,
"type": "string",
"format": "password",
},
{
"description": "integer array path",
"in": "path",
"name": "path_array_integer",
"required": True,
"items": {"type": "integer"},
"type": "array",
},
{
"description": "integer 32 array path",
"in": "path",
"name": "path_array_integer32",
"required": True,
"items": {"type": "integer", "format": "int32"},
"type": "array",
},
{
"description": "integer 64 array path",
"in": "path",
"name": "path_array_integer64",
"required": True,
"items": {"type": "integer", "format": "int64"},
"type": "array",
},
{
"description": "number array path",
"in": "path",
"name": "path_array_number",
"required": True,
"items": {"type": "number"},
"type": "array",
},
{
"description": "number float array path",
"in": "path",
"name": "path_array_float",
"required": True,
"items": {"type": "number", "format": "float"},
"type": "array",
},
{
"description": "number double array path",
"in": "path",
"name": "path_array_double",
"required": True,
"items": {"type": "number", "format": "double"},
"type": "array",
},
{
"description": "string array path",
"in": "path",
"name": "path_array_string",
"required": True,
"items": {"type": "string"},
"type": "array",
},
{
"description": "string byte array path",
"in": "path",
"name": "path_array_string_byte",
"required": True,
"items": {"type": "string", "format": "byte"},
"type": "array",
},
{
"description": "string binary array path",
"in": "path",
"name": "path_array_string_binary",
"required": True,
"items": {"type": "string", "format": "binary"},
"type": "array",
},
{
"description": "boolean array path",
"in": "path",
"name": "path_array_boolean",
"required": True,
"items": {"type": "boolean"},
"type": "array",
},
{
"description": "date array path",
"in": "path",
"name": "path_array_date",
"required": True,
"items": {"type": "string", "format": "date"},
"type": "array",
},
{
"description": "date time array path",
"in": "path",
"name": "path_array_date_time",
"required": True,
"items": {"type": "string", "format": "date-time"},
"type": "array",
},
{
"description": "password array path",
"in": "path",
"name": "path_array_password",
"required": True,
"items": {"type": "string", "format": "password"},
"type": "array",
},
],
"responses": {
200: {
"description": "successful operation",
"schema": {
"items": {"$ref": "#/definitions/TestObject"},
"type": "array",
},
}
},
},
},
"/body_with_properties": {
"post": {
"operationId": "post_body_with_properties",
"responses": {200: {"description": "successful operation"}},
"parameters": [
{
"name": "payload",
"required": True,
"in": "body",
"schema": {
"properties": {
"int_field": {"type": "integer"},
"str_field": {"type": "string"},
"bool_field": {"type": "boolean"},
},
"required": ["bool_field"],
},
}
],
}
},
"/int_choices": {
"get": {
"operationId": "get_int_choices",
"parameters": [
{
"description": "restricted int values",
"in": "query",
"name": "int_param",
"required": True,
"enum": [1, 10, 100],
"type": "integer",
}
],
"responses": {
200: {
"description": "successful operation",
"schema": {
"items": {"$ref": "#/definitions/TestObject"},
"type": "array",
},
}
},
}
},
},
},
match_querystring=True,
)
def test_mandatory_integer_parameter_not_provided(json_service, tmpdir):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
assert (
generated_functions.json_get_all_parameters_types(
query_integer=None,
query_integer32=None,
query_integer64=None,
query_number=None,
query_float=None,
query_double=None,
query_string=None,
query_string_byte=None,
query_string_binary=None,
query_boolean=None,
query_date=None,
query_date_time=None,
query_password=None,
query_array_integer=None,
query_array_integer32=None,
query_array_integer64=None,
query_array_number=None,
query_array_float=None,
query_array_double=None,
query_array_string=None,
query_array_string_byte=None,
query_array_string_binary=None,
query_array_boolean=None,
query_array_date=None,
query_array_date_time=None,
query_array_password=None,
)
== ["query_integer is required."]
)
def test_mandatory_integer_parameter_with_wrong_type(json_service, tmpdir):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
assert (
generated_functions.json_get_all_parameters_types(
query_integer="str value",
query_integer32=None,
query_integer64=None,
query_number=None,
query_float=None,
query_double=None,
query_string=None,
query_string_byte=None,
query_string_binary=None,
query_boolean=None,
query_date=None,
query_date_time=None,
query_password=None,
query_array_integer=None,
query_array_integer32=None,
query_array_integer64=None,
query_array_number=None,
query_array_float=None,
query_array_double=None,
query_array_string=None,
query_array_string_byte=None,
query_array_string_binary=None,
query_array_boolean=None,
query_array_date=None,
query_array_date_time=None,
query_array_password=None,
)
== [
"query_integer value \"str value\" (<class 'str'> type) must be an integer."
]
)
def test_optional_integer_parameter_with_wrong_type(json_service, tmpdir):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
assert generated_functions.json_get_all_optional_parameters_types(
query_integer="str value"
) == ["query_integer value \"str value\" (<class 'str'> type) must be an integer."]
def test_mandatory_array_integer_parameter_not_provided(json_service, tmpdir):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
today_date = datetime.date.today()
today_datetime = datetime.datetime.today()
assert (
generated_functions.json_get_all_parameters_types(
query_integer=0,
query_integer32=0,
query_integer64=0,
query_number=0.0,
query_float=0.0,
query_double=0.0,
query_string="str value",
query_string_byte="str value",
query_string_binary="str value",
query_boolean=True,
query_date=today_date,
query_date_time=today_datetime,
query_password="str value",
query_array_integer=None,
query_array_integer32=None,
query_array_integer64=None,
query_array_number=None,
query_array_float=None,
query_array_double=None,
query_array_string=None,
query_array_string_byte=None,
query_array_string_binary=None,
query_array_boolean=None,
query_array_date=None,
query_array_date_time=None,
query_array_password=None,
)
== ["query_array_integer is required."]
)
def test_mandatory_array_integer_parameter_provided_as_empty_array(
json_service, tmpdir
):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
today_date = datetime.date.today()
today_datetime = datetime.datetime.today()
assert (
generated_functions.json_get_all_parameters_types(
query_integer=0,
query_integer32=0,
query_integer64=0,
query_number=0.0,
query_float=0.0,
query_double=0.0,
query_string="str value",
query_string_byte="str value",
query_string_binary="str value",
query_boolean=True,
query_date=today_date,
query_date_time=today_datetime,
query_password="str value",
query_array_integer=[],
query_array_integer32=None,
query_array_integer64=None,
query_array_number=None,
query_array_float=None,
query_array_double=None,
query_array_string=None,
query_array_string_byte=None,
query_array_string_binary=None,
query_array_boolean=None,
query_array_date=None,
query_array_date_time=None,
query_array_password=None,
)
== ["query_array_integer is required."]
)
def test_mandatory_array_integer_parameter_provided_as_none_filled_array(
json_service, tmpdir
):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
today_date = datetime.date.today()
today_datetime = datetime.datetime.today()
assert (
generated_functions.json_get_all_parameters_types(
query_integer=0,
query_integer32=0,
query_integer64=0,
query_number=0.0,
query_float=0.0,
query_double=0.0,
query_string="str value",
query_string_byte="str value",
query_string_binary="str value",
query_boolean=True,
query_date=today_date,
query_date_time=today_datetime,
query_password="str value",
query_array_integer=[None],
query_array_integer32=None,
query_array_integer64=None,
query_array_number=None,
query_array_float=None,
query_array_double=None,
query_array_string=None,
query_array_string_byte=None,
query_array_string_binary=None,
query_array_boolean=None,
query_array_date=None,
query_array_date_time=None,
query_array_password=None,
)
== ["query_array_integer is required."]
)
def test_mandatory_array_integer_parameter_with_wrong_type(json_service, tmpdir):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
today_date = datetime.date.today()
today_datetime = datetime.datetime.today()
assert generated_functions.json_get_all_parameters_types(
query_integer=0,
query_integer32=0,
query_integer64=0,
query_number=0.0,
query_float=0.0,
query_double=0.0,
query_string="str value",
query_string_byte="str value",
query_string_binary="str value",
query_boolean=True,
query_date=today_date,
query_date_time=today_datetime,
query_password="str value",
query_array_integer="str value",
query_array_integer32=None,
query_array_integer64=None,
query_array_number=None,
query_array_float=None,
query_array_double=None,
query_array_string=None,
query_array_string_byte=None,
query_array_string_binary=None,
query_array_boolean=None,
query_array_date=None,
query_array_date_time=None,
query_array_password=None,
) == [
"query_array_integer value \"str value\" (<class 'str'> type) must be an integer."
]
def test_mandatory_array_integer_parameter_with_wrong_type_in_array(
json_service, tmpdir
):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
today_date = datetime.date.today()
today_datetime = datetime.datetime.today()
assert generated_functions.json_get_all_parameters_types(
query_integer=0,
query_integer32=0,
query_integer64=0,
query_number=0.0,
query_float=0.0,
query_double=0.0,
query_string="str value",
query_string_byte="str value",
query_string_binary="str value",
query_boolean=True,
query_date=today_date,
query_date_time=today_datetime,
query_password="str value",
query_array_integer=["str value"],
query_array_integer32=None,
query_array_integer64=None,
query_array_number=None,
query_array_float=None,
query_array_double=None,
query_array_string=None,
query_array_string_byte=None,
query_array_string_binary=None,
query_array_boolean=None,
query_array_date=None,
query_array_date_time=None,
query_array_password=None,
) == [
"query_array_integer value \"str value\" (<class 'str'> type) must be an integer."
]
def test_optional_array_integer_parameter_with_wrong_type(json_service, tmpdir):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
assert generated_functions.json_get_all_optional_parameters_types(
query_array_integer="str value"
) == [
"query_array_integer value \"str value\" (<class 'str'> type) must be an integer."
]
def test_optional_array_integer_parameter_with_wrong_type_in_array(
json_service, tmpdir
):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
assert generated_functions.json_get_all_optional_parameters_types(
query_array_integer=["str value"]
) == [
"query_array_integer value \"str value\" (<class 'str'> type) must be an integer."
]
def test_mandatory_integer32_parameter_not_provided(json_service, tmpdir):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
assert (
generated_functions.json_get_all_parameters_types(
query_integer=0,
query_integer32=None,
query_integer64=None,
query_number=None,
query_float=None,
query_double=None,
query_string=None,
query_string_byte=None,
query_string_binary=None,
query_boolean=None,
query_date=None,
query_date_time=None,
query_password=None,
query_array_integer=None,
query_array_integer32=None,
query_array_integer64=None,
query_array_number=None,
query_array_float=None,
query_array_double=None,
query_array_string=None,
query_array_string_byte=None,
query_array_string_binary=None,
query_array_boolean=None,
query_array_date=None,
query_array_date_time=None,
query_array_password=None,
)
== ["query_integer32 is required."]
)
def test_mandatory_integer32_parameter_with_wrong_type(json_service, tmpdir):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
assert generated_functions.json_get_all_parameters_types(
query_integer=0,
query_integer32="str value",
query_integer64=None,
query_number=None,
query_float=None,
query_double=None,
query_string=None,
query_string_byte=None,
query_string_binary=None,
query_boolean=None,
query_date=None,
query_date_time=None,
query_password=None,
query_array_integer=None,
query_array_integer32=None,
query_array_integer64=None,
query_array_number=None,
query_array_float=None,
query_array_double=None,
query_array_string=None,
query_array_string_byte=None,
query_array_string_binary=None,
query_array_boolean=None,
query_array_date=None,
query_array_date_time=None,
query_array_password=None,
) == [
"query_integer32 value \"str value\" (<class 'str'> type) must be an integer."
]
def test_optional_integer32_parameter_with_wrong_type(json_service, tmpdir):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
assert generated_functions.json_get_all_optional_parameters_types(
query_integer32="str value"
) == [
"query_integer32 value \"str value\" (<class 'str'> type) must be an integer."
]
def test_mandatory_array_integer32_parameter_not_provided(json_service, tmpdir):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
today_date = datetime.date.today()
today_datetime = datetime.datetime.today()
assert (
generated_functions.json_get_all_parameters_types(
query_integer=0,
query_integer32=0,
query_integer64=0,
query_number=0.0,
query_float=0.0,
query_double=0.0,
query_string="str value",
query_string_byte="str value",
query_string_binary="str value",
query_boolean=True,
query_date=today_date,
query_date_time=today_datetime,
query_password="str value",
query_array_integer=[0],
query_array_integer32=None,
query_array_integer64=None,
query_array_number=None,
query_array_float=None,
query_array_double=None,
query_array_string=None,
query_array_string_byte=None,
query_array_string_binary=None,
query_array_boolean=None,
query_array_date=None,
query_array_date_time=None,
query_array_password=None,
)
== ["query_array_integer32 is required."]
)
def test_mandatory_array_integer32_parameter_provided_as_empty_array(
json_service, tmpdir
):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
today_date = datetime.date.today()
today_datetime = datetime.datetime.today()
assert (
generated_functions.json_get_all_parameters_types(
query_integer=0,
query_integer32=0,
query_integer64=0,
query_number=0.0,
query_float=0.0,
query_double=0.0,
query_string="str value",
query_string_byte="str value",
query_string_binary="str value",
query_boolean=True,
query_date=today_date,
query_date_time=today_datetime,
query_password="str value",
query_array_integer=[0],
query_array_integer32=[],
query_array_integer64=None,
query_array_number=None,
query_array_float=None,
query_array_double=None,
query_array_string=None,
query_array_string_byte=None,
query_array_string_binary=None,
query_array_boolean=None,
query_array_date=None,
query_array_date_time=None,
query_array_password=None,
)
== ["query_array_integer32 is required."]
)
def test_mandatory_array_integer32_parameter_provided_as_none_filled_array(
json_service, tmpdir
):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
today_date = datetime.date.today()
today_datetime = datetime.datetime.today()
assert (
generated_functions.json_get_all_parameters_types(
query_integer=0,
query_integer32=0,
query_integer64=0,
query_number=0.0,
query_float=0.0,
query_double=0.0,
query_string="str value",
query_string_byte="str value",
query_string_binary="str value",
query_boolean=True,
query_date=today_date,
query_date_time=today_datetime,
query_password="str value",
query_array_integer=[0],
query_array_integer32=[None],
query_array_integer64=None,
query_array_number=None,
query_array_float=None,
query_array_double=None,
query_array_string=None,
query_array_string_byte=None,
query_array_string_binary=None,
query_array_boolean=None,
query_array_date=None,
query_array_date_time=None,
query_array_password=None,
)
== ["query_array_integer32 is required."]
)
def test_mandatory_array_integer32_parameter_with_wrong_type(json_service, tmpdir):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
today_date = datetime.date.today()
today_datetime = datetime.datetime.today()
assert generated_functions.json_get_all_parameters_types(
query_integer=0,
query_integer32=0,
query_integer64=0,
query_number=0.0,
query_float=0.0,
query_double=0.0,
query_string="str value",
query_string_byte="str value",
query_string_binary="str value",
query_boolean=True,
query_date=today_date,
query_date_time=today_datetime,
query_password="str value",
query_array_integer=[0],
query_array_integer32="str value",
query_array_integer64=None,
query_array_number=None,
query_array_float=None,
query_array_double=None,
query_array_string=None,
query_array_string_byte=None,
query_array_string_binary=None,
query_array_boolean=None,
query_array_date=None,
query_array_date_time=None,
query_array_password=None,
) == [
"query_array_integer32 value \"str value\" (<class 'str'> type) must be an integer."
]
def test_mandatory_array_integer32_parameter_with_wrong_type_in_array(
json_service, tmpdir
):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
today_date = datetime.date.today()
today_datetime = datetime.datetime.today()
assert generated_functions.json_get_all_parameters_types(
query_integer=0,
query_integer32=0,
query_integer64=0,
query_number=0.0,
query_float=0.0,
query_double=0.0,
query_string="str value",
query_string_byte="str value",
query_string_binary="str value",
query_boolean=True,
query_date=today_date,
query_date_time=today_datetime,
query_password="str value",
query_array_integer=[0],
query_array_integer32=["str value"],
query_array_integer64=None,
query_array_number=None,
query_array_float=None,
query_array_double=None,
query_array_string=None,
query_array_string_byte=None,
query_array_string_binary=None,
query_array_boolean=None,
query_array_date=None,
query_array_date_time=None,
query_array_password=None,
) == [
"query_array_integer32 value \"str value\" (<class 'str'> type) must be an integer."
]
def test_optional_array_integer32_parameter_with_wrong_type(json_service, tmpdir):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
assert generated_functions.json_get_all_optional_parameters_types(
query_array_integer32="str value"
) == [
"query_array_integer32 value \"str value\" (<class 'str'> type) must be an integer."
]
def test_optional_array_integer32_parameter_with_wrong_type_in_array(
json_service, tmpdir
):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
assert generated_functions.json_get_all_optional_parameters_types(
query_array_integer32=["str value"]
) == [
"query_array_integer32 value \"str value\" (<class 'str'> type) must be an integer."
]
def test_mandatory_integer64_parameter_not_provided(json_service, tmpdir):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
assert (
generated_functions.json_get_all_parameters_types(
query_integer=0,
query_integer32=0,
query_integer64=None,
query_number=None,
query_float=None,
query_double=None,
query_string=None,
query_string_byte=None,
query_string_binary=None,
query_boolean=None,
query_date=None,
query_date_time=None,
query_password=None,
query_array_integer=None,
query_array_integer32=None,
query_array_integer64=None,
query_array_number=None,
query_array_float=None,
query_array_double=None,
query_array_string=None,
query_array_string_byte=None,
query_array_string_binary=None,
query_array_boolean=None,
query_array_date=None,
query_array_date_time=None,
query_array_password=None,
)
== ["query_integer64 is required."]
)
def test_mandatory_integer64_parameter_with_wrong_type(json_service, tmpdir):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
assert generated_functions.json_get_all_parameters_types(
query_integer=0,
query_integer32=0,
query_integer64="str value",
query_number=None,
query_float=None,
query_double=None,
query_string=None,
query_string_byte=None,
query_string_binary=None,
query_boolean=None,
query_date=None,
query_date_time=None,
query_password=None,
query_array_integer=None,
query_array_integer32=None,
query_array_integer64=None,
query_array_number=None,
query_array_float=None,
query_array_double=None,
query_array_string=None,
query_array_string_byte=None,
query_array_string_binary=None,
query_array_boolean=None,
query_array_date=None,
query_array_date_time=None,
query_array_password=None,
) == [
"query_integer64 value \"str value\" (<class 'str'> type) must be an integer."
]
def test_optional_integer64_parameter_with_wrong_type(json_service, tmpdir):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
assert generated_functions.json_get_all_optional_parameters_types(
query_integer64="str value"
) == [
"query_integer64 value \"str value\" (<class 'str'> type) must be an integer."
]
def test_mandatory_array_integer64_parameter_not_provided(json_service, tmpdir):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
today_date = datetime.date.today()
today_datetime = datetime.datetime.today()
assert (
generated_functions.json_get_all_parameters_types(
query_integer=0,
query_integer32=0,
query_integer64=0,
query_number=0.0,
query_float=0.0,
query_double=0.0,
query_string="str value",
query_string_byte="str value",
query_string_binary="str value",
query_boolean=True,
query_date=today_date,
query_date_time=today_datetime,
query_password="str value",
query_array_integer=[0],
query_array_integer32=[0],
query_array_integer64=None,
query_array_number=None,
query_array_float=None,
query_array_double=None,
query_array_string=None,
query_array_string_byte=None,
query_array_string_binary=None,
query_array_boolean=None,
query_array_date=None,
query_array_date_time=None,
query_array_password=None,
)
== ["query_array_integer64 is required."]
)
def test_mandatory_array_integer64_parameter_provided_as_empty_array(
json_service, tmpdir
):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
today_date = datetime.date.today()
today_datetime = datetime.datetime.today()
assert (
generated_functions.json_get_all_parameters_types(
query_integer=0,
query_integer32=0,
query_integer64=0,
query_number=0.0,
query_float=0.0,
query_double=0.0,
query_string="str value",
query_string_byte="str value",
query_string_binary="str value",
query_boolean=True,
query_date=today_date,
query_date_time=today_datetime,
query_password="str value",
query_array_integer=[0],
query_array_integer32=[0],
query_array_integer64=[],
query_array_number=None,
query_array_float=None,
query_array_double=None,
query_array_string=None,
query_array_string_byte=None,
query_array_string_binary=None,
query_array_boolean=None,
query_array_date=None,
query_array_date_time=None,
query_array_password=None,
)
== ["query_array_integer64 is required."]
)
def test_mandatory_array_integer64_parameter_provided_as_none_filled_array(
json_service, tmpdir
):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
today_date = datetime.date.today()
today_datetime = datetime.datetime.today()
assert (
generated_functions.json_get_all_parameters_types(
query_integer=0,
query_integer32=0,
query_integer64=0,
query_number=0.0,
query_float=0.0,
query_double=0.0,
query_string="str value",
query_string_byte="str value",
query_string_binary="str value",
query_boolean=True,
query_date=today_date,
query_date_time=today_datetime,
query_password="str value",
query_array_integer=[0],
query_array_integer32=[0],
query_array_integer64=[None],
query_array_number=None,
query_array_float=None,
query_array_double=None,
query_array_string=None,
query_array_string_byte=None,
query_array_string_binary=None,
query_array_boolean=None,
query_array_date=None,
query_array_date_time=None,
query_array_password=None,
)
== ["query_array_integer64 is required."]
)
def test_mandatory_array_integer64_parameter_with_wrong_type(json_service, tmpdir):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
today_date = datetime.date.today()
today_datetime = datetime.datetime.today()
assert generated_functions.json_get_all_parameters_types(
query_integer=0,
query_integer32=0,
query_integer64=0,
query_number=0.0,
query_float=0.0,
query_double=0.0,
query_string="str value",
query_string_byte="str value",
query_string_binary="str value",
query_boolean=True,
query_date=today_date,
query_date_time=today_datetime,
query_password="str value",
query_array_integer=[0],
query_array_integer32=[0],
query_array_integer64="str value",
query_array_number=None,
query_array_float=None,
query_array_double=None,
query_array_string=None,
query_array_string_byte=None,
query_array_string_binary=None,
query_array_boolean=None,
query_array_date=None,
query_array_date_time=None,
query_array_password=None,
) == [
"query_array_integer64 value \"str value\" (<class 'str'> type) must be an integer."
]
def test_mandatory_array_integer64_parameter_with_wrong_type_in_array(
json_service, tmpdir
):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
today_date = datetime.date.today()
today_datetime = datetime.datetime.today()
assert generated_functions.json_get_all_parameters_types(
query_integer=0,
query_integer32=0,
query_integer64=0,
query_number=0.0,
query_float=0.0,
query_double=0.0,
query_string="str value",
query_string_byte="str value",
query_string_binary="str value",
query_boolean=True,
query_date=today_date,
query_date_time=today_datetime,
query_password="str value",
query_array_integer=[0],
query_array_integer32=[0],
query_array_integer64=["str value"],
query_array_number=None,
query_array_float=None,
query_array_double=None,
query_array_string=None,
query_array_string_byte=None,
query_array_string_binary=None,
query_array_boolean=None,
query_array_date=None,
query_array_date_time=None,
query_array_password=None,
) == [
"query_array_integer64 value \"str value\" (<class 'str'> type) must be an integer."
]
def test_optional_array_integer64_parameter_with_wrong_type(json_service, tmpdir):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
assert generated_functions.json_get_all_optional_parameters_types(
query_array_integer64="str value"
) == [
"query_array_integer64 value \"str value\" (<class 'str'> type) must be an integer."
]
def test_optional_array_integer64_parameter_with_wrong_type_in_array(
json_service, tmpdir
):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
assert generated_functions.json_get_all_optional_parameters_types(
query_array_integer64=["str value"]
) == [
"query_array_integer64 value \"str value\" (<class 'str'> type) must be an integer."
]
def test_mandatory_number_parameter_not_provided(json_service, tmpdir):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
assert (
generated_functions.json_get_all_parameters_types(
query_integer=0,
query_integer32=0,
query_integer64=0,
query_number=None,
query_float=None,
query_double=None,
query_string=None,
query_string_byte=None,
query_string_binary=None,
query_boolean=None,
query_date=None,
query_date_time=None,
query_password=None,
query_array_integer=None,
query_array_integer32=None,
query_array_integer64=None,
query_array_number=None,
query_array_float=None,
query_array_double=None,
query_array_string=None,
query_array_string_byte=None,
query_array_string_binary=None,
query_array_boolean=None,
query_array_date=None,
query_array_date_time=None,
query_array_password=None,
)
== ["query_number is required."]
)
def test_mandatory_number_parameter_with_wrong_type(json_service, tmpdir):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
assert (
generated_functions.json_get_all_parameters_types(
query_integer=0,
query_integer32=0,
query_integer64=0,
query_number="str value",
query_float=None,
query_double=None,
query_string=None,
query_string_byte=None,
query_string_binary=None,
query_boolean=None,
query_date=None,
query_date_time=None,
query_password=None,
query_array_integer=None,
query_array_integer32=None,
query_array_integer64=None,
query_array_number=None,
query_array_float=None,
query_array_double=None,
query_array_string=None,
query_array_string_byte=None,
query_array_string_binary=None,
query_array_boolean=None,
query_array_date=None,
query_array_date_time=None,
query_array_password=None,
)
== ["query_number value \"str value\" (<class 'str'> type) must be a number."]
)
def test_optional_number_parameter_with_wrong_type(json_service, tmpdir):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
assert generated_functions.json_get_all_optional_parameters_types(
query_number="str value"
) == ["query_number value \"str value\" (<class 'str'> type) must be a number."]
def test_mandatory_array_number_parameter_not_provided(json_service, tmpdir):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
today_date = datetime.date.today()
today_datetime = datetime.datetime.today()
assert (
generated_functions.json_get_all_parameters_types(
query_integer=0,
query_integer32=0,
query_integer64=0,
query_number=0.0,
query_float=0.0,
query_double=0.0,
query_string="str value",
query_string_byte="str value",
query_string_binary="str value",
query_boolean=True,
query_date=today_date,
query_date_time=today_datetime,
query_password="str value",
query_array_integer=[0],
query_array_integer32=[0],
query_array_integer64=[0],
query_array_number=None,
query_array_float=None,
query_array_double=None,
query_array_string=None,
query_array_string_byte=None,
query_array_string_binary=None,
query_array_boolean=None,
query_array_date=None,
query_array_date_time=None,
query_array_password=None,
)
== ["query_array_number is required."]
)
def test_mandatory_array_number_parameter_provided_as_empty_array(json_service, tmpdir):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
today_date = datetime.date.today()
today_datetime = datetime.datetime.today()
assert (
generated_functions.json_get_all_parameters_types(
query_integer=0,
query_integer32=0,
query_integer64=0,
query_number=0.0,
query_float=0.0,
query_double=0.0,
query_string="str value",
query_string_byte="str value",
query_string_binary="str value",
query_boolean=True,
query_date=today_date,
query_date_time=today_datetime,
query_password="str value",
query_array_integer=[0],
query_array_integer32=[0],
query_array_integer64=[0],
query_array_number=[],
query_array_float=None,
query_array_double=None,
query_array_string=None,
query_array_string_byte=None,
query_array_string_binary=None,
query_array_boolean=None,
query_array_date=None,
query_array_date_time=None,
query_array_password=None,
)
== ["query_array_number is required."]
)
def test_mandatory_array_number_parameter_provided_as_none_filled_array(
json_service, tmpdir
):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
today_date = datetime.date.today()
today_datetime = datetime.datetime.today()
assert (
generated_functions.json_get_all_parameters_types(
query_integer=0,
query_integer32=0,
query_integer64=0,
query_number=0.0,
query_float=0.0,
query_double=0.0,
query_string="str value",
query_string_byte="str value",
query_string_binary="str value",
query_boolean=True,
query_date=today_date,
query_date_time=today_datetime,
query_password="str value",
query_array_integer=[0],
query_array_integer32=[0],
query_array_integer64=[0],
query_array_number=[None],
query_array_float=None,
query_array_double=None,
query_array_string=None,
query_array_string_byte=None,
query_array_string_binary=None,
query_array_boolean=None,
query_array_date=None,
query_array_date_time=None,
query_array_password=None,
)
== ["query_array_number is required."]
)
def test_mandatory_array_number_parameter_with_wrong_type(json_service, tmpdir):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
today_date = datetime.date.today()
today_datetime = datetime.datetime.today()
assert generated_functions.json_get_all_parameters_types(
query_integer=0,
query_integer32=0,
query_integer64=0,
query_number=0.0,
query_float=0.0,
query_double=0.0,
query_string="str value",
query_string_byte="str value",
query_string_binary="str value",
query_boolean=True,
query_date=today_date,
query_date_time=today_datetime,
query_password="str value",
query_array_integer=[0],
query_array_integer32=[0],
query_array_integer64=[0],
query_array_number="str value",
query_array_float=None,
query_array_double=None,
query_array_string=None,
query_array_string_byte=None,
query_array_string_binary=None,
query_array_boolean=None,
query_array_date=None,
query_array_date_time=None,
query_array_password=None,
) == [
"query_array_number value \"str value\" (<class 'str'> type) must be a number."
]
def test_mandatory_array_number_parameter_with_wrong_type_in_array(
json_service, tmpdir
):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
today_date = datetime.date.today()
today_datetime = datetime.datetime.today()
assert generated_functions.json_get_all_parameters_types(
query_integer=0,
query_integer32=0,
query_integer64=0,
query_number=0.0,
query_float=0.0,
query_double=0.0,
query_string="str value",
query_string_byte="str value",
query_string_binary="str value",
query_boolean=True,
query_date=today_date,
query_date_time=today_datetime,
query_password="str value",
query_array_integer=[0],
query_array_integer32=[0],
query_array_integer64=[0],
query_array_number=["str value"],
query_array_float=None,
query_array_double=None,
query_array_string=None,
query_array_string_byte=None,
query_array_string_binary=None,
query_array_boolean=None,
query_array_date=None,
query_array_date_time=None,
query_array_password=None,
) == [
"query_array_number value \"str value\" (<class 'str'> type) must be a number."
]
def test_optional_array_number_parameter_with_wrong_type(json_service, tmpdir):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
assert generated_functions.json_get_all_optional_parameters_types(
query_array_number="str value"
) == [
"query_array_number value \"str value\" (<class 'str'> type) must be a number."
]
def test_optional_array_number_parameter_with_wrong_type_in_array(json_service, tmpdir):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
assert generated_functions.json_get_all_optional_parameters_types(
query_array_number=["str value"]
) == [
"query_array_number value \"str value\" (<class 'str'> type) must be a number."
]
def test_mandatory_float_parameter_not_provided(json_service, tmpdir):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
assert (
generated_functions.json_get_all_parameters_types(
query_integer=0,
query_integer32=0,
query_integer64=0,
query_number=0.0,
query_float=None,
query_double=None,
query_string=None,
query_string_byte=None,
query_string_binary=None,
query_boolean=None,
query_date=None,
query_date_time=None,
query_password=None,
query_array_integer=None,
query_array_integer32=None,
query_array_integer64=None,
query_array_number=None,
query_array_float=None,
query_array_double=None,
query_array_string=None,
query_array_string_byte=None,
query_array_string_binary=None,
query_array_boolean=None,
query_array_date=None,
query_array_date_time=None,
query_array_password=None,
)
== ["query_float is required."]
)
def test_mandatory_float_parameter_with_wrong_type(json_service, tmpdir):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
assert (
generated_functions.json_get_all_parameters_types(
query_integer=0,
query_integer32=0,
query_integer64=0,
query_number=0.0,
query_float="str value",
query_double=None,
query_string=None,
query_string_byte=None,
query_string_binary=None,
query_boolean=None,
query_date=None,
query_date_time=None,
query_password=None,
query_array_integer=None,
query_array_integer32=None,
query_array_integer64=None,
query_array_number=None,
query_array_float=None,
query_array_double=None,
query_array_string=None,
query_array_string_byte=None,
query_array_string_binary=None,
query_array_boolean=None,
query_array_date=None,
query_array_date_time=None,
query_array_password=None,
)
== ["query_float value \"str value\" (<class 'str'> type) must be a number."]
)
def test_optional_float_parameter_with_wrong_type(json_service, tmpdir):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
assert generated_functions.json_get_all_optional_parameters_types(
query_float="str value"
) == ["query_float value \"str value\" (<class 'str'> type) must be a number."]
def test_mandatory_array_float_number_parameter_not_provided(json_service, tmpdir):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
today_date = datetime.date.today()
today_datetime = datetime.datetime.today()
assert (
generated_functions.json_get_all_parameters_types(
query_integer=0,
query_integer32=0,
query_integer64=0,
query_number=0.0,
query_float=0.0,
query_double=0.0,
query_string="str value",
query_string_byte="str value",
query_string_binary="str value",
query_boolean=True,
query_date=today_date,
query_date_time=today_datetime,
query_password="str value",
query_array_integer=[0],
query_array_integer32=[0],
query_array_integer64=[0],
query_array_number=[0.0],
query_array_float=None,
query_array_double=None,
query_array_string=None,
query_array_string_byte=None,
query_array_string_binary=None,
query_array_boolean=None,
query_array_date=None,
query_array_date_time=None,
query_array_password=None,
)
== ["query_array_float is required."]
)
def test_mandatory_array_float_parameter_provided_as_empty_array(json_service, tmpdir):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
today_date = datetime.date.today()
today_datetime = datetime.datetime.today()
assert (
generated_functions.json_get_all_parameters_types(
query_integer=0,
query_integer32=0,
query_integer64=0,
query_number=0.0,
query_float=0.0,
query_double=0.0,
query_string="str value",
query_string_byte="str value",
query_string_binary="str value",
query_boolean=True,
query_date=today_date,
query_date_time=today_datetime,
query_password="str value",
query_array_integer=[0],
query_array_integer32=[0],
query_array_integer64=[0],
query_array_number=[0.0],
query_array_float=[],
query_array_double=None,
query_array_string=None,
query_array_string_byte=None,
query_array_string_binary=None,
query_array_boolean=None,
query_array_date=None,
query_array_date_time=None,
query_array_password=None,
)
== ["query_array_float is required."]
)
def test_mandatory_array_float_parameter_provided_as_none_filled_array(
json_service, tmpdir
):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
today_date = datetime.date.today()
today_datetime = datetime.datetime.today()
assert (
generated_functions.json_get_all_parameters_types(
query_integer=0,
query_integer32=0,
query_integer64=0,
query_number=0.0,
query_float=0.0,
query_double=0.0,
query_string="str value",
query_string_byte="str value",
query_string_binary="str value",
query_boolean=True,
query_date=today_date,
query_date_time=today_datetime,
query_password="str value",
query_array_integer=[0],
query_array_integer32=[0],
query_array_integer64=[0],
query_array_number=[0.0],
query_array_float=[None],
query_array_double=None,
query_array_string=None,
query_array_string_byte=None,
query_array_string_binary=None,
query_array_boolean=None,
query_array_date=None,
query_array_date_time=None,
query_array_password=None,
)
== ["query_array_float is required."]
)
def test_mandatory_array_float_parameter_with_wrong_type(json_service, tmpdir):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
today_date = datetime.date.today()
today_datetime = datetime.datetime.today()
assert generated_functions.json_get_all_parameters_types(
query_integer=0,
query_integer32=0,
query_integer64=0,
query_number=0.0,
query_float=0.0,
query_double=0.0,
query_string="str value",
query_string_byte="str value",
query_string_binary="str value",
query_boolean=True,
query_date=today_date,
query_date_time=today_datetime,
query_password="str value",
query_array_integer=[0],
query_array_integer32=[0],
query_array_integer64=[0],
query_array_number=[0.0],
query_array_float="str value",
query_array_double=None,
query_array_string=None,
query_array_string_byte=None,
query_array_string_binary=None,
query_array_boolean=None,
query_array_date=None,
query_array_date_time=None,
query_array_password=None,
) == [
"query_array_float value \"str value\" (<class 'str'> type) must be a number."
]
def test_mandatory_array_float_parameter_with_wrong_type_in_array(json_service, tmpdir):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
today_date = datetime.date.today()
today_datetime = datetime.datetime.today()
assert generated_functions.json_get_all_parameters_types(
query_integer=0,
query_integer32=0,
query_integer64=0,
query_number=0.0,
query_float=0.0,
query_double=0.0,
query_string="str value",
query_string_byte="str value",
query_string_binary="str value",
query_boolean=True,
query_date=today_date,
query_date_time=today_datetime,
query_password="str value",
query_array_integer=[0],
query_array_integer32=[0],
query_array_integer64=[0],
query_array_number=[0.0],
query_array_float=["str value"],
query_array_double=None,
query_array_string=None,
query_array_string_byte=None,
query_array_string_binary=None,
query_array_boolean=None,
query_array_date=None,
query_array_date_time=None,
query_array_password=None,
) == [
"query_array_float value \"str value\" (<class 'str'> type) must be a number."
]
def test_optional_array_float_parameter_with_wrong_type(json_service, tmpdir):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
assert generated_functions.json_get_all_optional_parameters_types(
query_array_float="str value"
) == [
"query_array_float value \"str value\" (<class 'str'> type) must be a number."
]
def test_optional_array_float_parameter_with_wrong_type_in_array(json_service, tmpdir):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
assert generated_functions.json_get_all_optional_parameters_types(
query_array_float=["str value"]
) == [
"query_array_float value \"str value\" (<class 'str'> type) must be a number."
]
def test_mandatory_double_parameter_not_provided(json_service, tmpdir):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
assert (
generated_functions.json_get_all_parameters_types(
query_integer=0,
query_integer32=0,
query_integer64=0,
query_number=0.0,
query_float=0.0,
query_double=None,
query_string=None,
query_string_byte=None,
query_string_binary=None,
query_boolean=None,
query_date=None,
query_date_time=None,
query_password=None,
query_array_integer=None,
query_array_integer32=None,
query_array_integer64=None,
query_array_number=None,
query_array_float=None,
query_array_double=None,
query_array_string=None,
query_array_string_byte=None,
query_array_string_binary=None,
query_array_boolean=None,
query_array_date=None,
query_array_date_time=None,
query_array_password=None,
)
== ["query_double is required."]
)
def test_mandatory_double_parameter_with_wrong_type(json_service, tmpdir):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
assert (
generated_functions.json_get_all_parameters_types(
query_integer=0,
query_integer32=0,
query_integer64=0,
query_number=0.0,
query_float=0.0,
query_double="str value",
query_string=None,
query_string_byte=None,
query_string_binary=None,
query_boolean=None,
query_date=None,
query_date_time=None,
query_password=None,
query_array_integer=None,
query_array_integer32=None,
query_array_integer64=None,
query_array_number=None,
query_array_float=None,
query_array_double=None,
query_array_string=None,
query_array_string_byte=None,
query_array_string_binary=None,
query_array_boolean=None,
query_array_date=None,
query_array_date_time=None,
query_array_password=None,
)
== ["query_double value \"str value\" (<class 'str'> type) must be a number."]
)
def test_optional_double_parameter_with_wrong_type(json_service, tmpdir):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
assert generated_functions.json_get_all_optional_parameters_types(
query_double="str value"
) == ["query_double value \"str value\" (<class 'str'> type) must be a number."]
def test_mandatory_array_double_number_parameter_not_provided(json_service, tmpdir):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
today_date = datetime.date.today()
today_datetime = datetime.datetime.today()
assert (
generated_functions.json_get_all_parameters_types(
query_integer=0,
query_integer32=0,
query_integer64=0,
query_number=0.0,
query_float=0.0,
query_double=0.0,
query_string="str value",
query_string_byte="str value",
query_string_binary="str value",
query_boolean=True,
query_date=today_date,
query_date_time=today_datetime,
query_password="str value",
query_array_integer=[0],
query_array_integer32=[0],
query_array_integer64=[0],
query_array_number=[0.0],
query_array_float=[0.0],
query_array_double=None,
query_array_string=None,
query_array_string_byte=None,
query_array_string_binary=None,
query_array_boolean=None,
query_array_date=None,
query_array_date_time=None,
query_array_password=None,
)
== ["query_array_double is required."]
)
def test_mandatory_array_double_parameter_provided_as_empty_array(json_service, tmpdir):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
today_date = datetime.date.today()
today_datetime = datetime.datetime.today()
assert (
generated_functions.json_get_all_parameters_types(
query_integer=0,
query_integer32=0,
query_integer64=0,
query_number=0.0,
query_float=0.0,
query_double=0.0,
query_string="str value",
query_string_byte="str value",
query_string_binary="str value",
query_boolean=True,
query_date=today_date,
query_date_time=today_datetime,
query_password="str value",
query_array_integer=[0],
query_array_integer32=[0],
query_array_integer64=[0],
query_array_number=[0.0],
query_array_float=[0.0],
query_array_double=[],
query_array_string=None,
query_array_string_byte=None,
query_array_string_binary=None,
query_array_boolean=None,
query_array_date=None,
query_array_date_time=None,
query_array_password=None,
)
== ["query_array_double is required."]
)
def test_mandatory_array_double_parameter_provided_as_none_filled_array(
json_service, tmpdir
):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
today_date = datetime.date.today()
today_datetime = datetime.datetime.today()
assert (
generated_functions.json_get_all_parameters_types(
query_integer=0,
query_integer32=0,
query_integer64=0,
query_number=0.0,
query_float=0.0,
query_double=0.0,
query_string="str value",
query_string_byte="str value",
query_string_binary="str value",
query_boolean=True,
query_date=today_date,
query_date_time=today_datetime,
query_password="str value",
query_array_integer=[0],
query_array_integer32=[0],
query_array_integer64=[0],
query_array_number=[0.0],
query_array_float=[0.0],
query_array_double=[None],
query_array_string=None,
query_array_string_byte=None,
query_array_string_binary=None,
query_array_boolean=None,
query_array_date=None,
query_array_date_time=None,
query_array_password=None,
)
== ["query_array_double is required."]
)
def test_mandatory_array_double_parameter_with_wrong_type(json_service, tmpdir):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
today_date = datetime.date.today()
today_datetime = datetime.datetime.today()
assert generated_functions.json_get_all_parameters_types(
query_integer=0,
query_integer32=0,
query_integer64=0,
query_number=0.0,
query_float=0.0,
query_double=0.0,
query_string="str value",
query_string_byte="str value",
query_string_binary="str value",
query_boolean=True,
query_date=today_date,
query_date_time=today_datetime,
query_password="str value",
query_array_integer=[0],
query_array_integer32=[0],
query_array_integer64=[0],
query_array_number=[0.0],
query_array_float=[0.0],
query_array_double="str value",
query_array_string=None,
query_array_string_byte=None,
query_array_string_binary=None,
query_array_boolean=None,
query_array_date=None,
query_array_date_time=None,
query_array_password=None,
) == [
"query_array_double value \"str value\" (<class 'str'> type) must be a number."
]
def test_mandatory_array_double_parameter_with_wrong_type_in_array(
json_service, tmpdir
):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
today_date = datetime.date.today()
today_datetime = datetime.datetime.today()
assert generated_functions.json_get_all_parameters_types(
query_integer=0,
query_integer32=0,
query_integer64=0,
query_number=0.0,
query_float=0.0,
query_double=0.0,
query_string="str value",
query_string_byte="str value",
query_string_binary="str value",
query_boolean=True,
query_date=today_date,
query_date_time=today_datetime,
query_password="str value",
query_array_integer=[0],
query_array_integer32=[0],
query_array_integer64=[0],
query_array_number=[0.0],
query_array_float=[0.0],
query_array_double=["str value"],
query_array_string=None,
query_array_string_byte=None,
query_array_string_binary=None,
query_array_boolean=None,
query_array_date=None,
query_array_date_time=None,
query_array_password=None,
) == [
"query_array_double value \"str value\" (<class 'str'> type) must be a number."
]
def test_optional_array_double_parameter_with_wrong_type(json_service, tmpdir):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
assert generated_functions.json_get_all_optional_parameters_types(
query_array_double="str value"
) == [
"query_array_double value \"str value\" (<class 'str'> type) must be a number."
]
def test_optional_array_double_parameter_with_wrong_type_in_array(json_service, tmpdir):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
assert generated_functions.json_get_all_optional_parameters_types(
query_array_double=["str value"]
) == [
"query_array_double value \"str value\" (<class 'str'> type) must be a number."
]
def test_mandatory_string_parameter_not_provided(json_service, tmpdir):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
assert (
generated_functions.json_get_all_parameters_types(
query_integer=0,
query_integer32=0,
query_integer64=0,
query_number=0.0,
query_float=0.0,
query_double=0.0,
query_string=None,
query_string_byte=None,
query_string_binary=None,
query_boolean=None,
query_date=None,
query_date_time=None,
query_password=None,
query_array_integer=None,
query_array_integer32=None,
query_array_integer64=None,
query_array_number=None,
query_array_float=None,
query_array_double=None,
query_array_string=None,
query_array_string_byte=None,
query_array_string_binary=None,
query_array_boolean=None,
query_array_date=None,
query_array_date_time=None,
query_array_password=None,
)
== ["query_string is required."]
)
def test_mandatory_string_parameter_provided_as_empty_array(json_service, tmpdir):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
assert (
generated_functions.json_get_all_parameters_types(
query_integer=0,
query_integer32=0,
query_integer64=0,
query_number=0.0,
query_float=0.0,
query_double=0.0,
query_string=[],
query_string_byte=None,
query_string_binary=None,
query_boolean=None,
query_date=None,
query_date_time=None,
query_password=None,
query_array_integer=None,
query_array_integer32=None,
query_array_integer64=None,
query_array_number=None,
query_array_float=None,
query_array_double=None,
query_array_string=None,
query_array_string_byte=None,
query_array_string_binary=None,
query_array_boolean=None,
query_array_date=None,
query_array_date_time=None,
query_array_password=None,
)
== ["query_string is required."]
)
def test_mandatory_string_parameter_provided_as_none_filled_array(json_service, tmpdir):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
assert (
generated_functions.json_get_all_parameters_types(
query_integer=0,
query_integer32=0,
query_integer64=0,
query_number=0.0,
query_float=0.0,
query_double=0.0,
query_string=[None],
query_string_byte=None,
query_string_binary=None,
query_boolean=None,
query_date=None,
query_date_time=None,
query_password=None,
query_array_integer=None,
query_array_integer32=None,
query_array_integer64=None,
query_array_number=None,
query_array_float=None,
query_array_double=None,
query_array_string=None,
query_array_string_byte=None,
query_array_string_binary=None,
query_array_boolean=None,
query_array_date=None,
query_array_date_time=None,
query_array_password=None,
)
== ["query_string is required."]
)
def test_mandatory_array_string_parameter_not_provided(json_service, tmpdir):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
today_date = datetime.date.today()
today_datetime = datetime.datetime.today()
assert (
generated_functions.json_get_all_parameters_types(
query_integer=0,
query_integer32=0,
query_integer64=0,
query_number=0.0,
query_float=0.0,
query_double=0.0,
query_string="str value",
query_string_byte="str value",
query_string_binary="str value",
query_boolean=True,
query_date=today_date,
query_date_time=today_datetime,
query_password="str value",
query_array_integer=[0],
query_array_integer32=[0],
query_array_integer64=[0],
query_array_number=[0.0],
query_array_float=[0.0],
query_array_double=[0.0],
query_array_string=None,
query_array_string_byte=None,
query_array_string_binary=None,
query_array_boolean=None,
query_array_date=None,
query_array_date_time=None,
query_array_password=None,
)
== ["query_array_string is required."]
)
def test_mandatory_array_string_parameter_provided_as_empty_array(json_service, tmpdir):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
today_date = datetime.date.today()
today_datetime = datetime.datetime.today()
assert (
generated_functions.json_get_all_parameters_types(
query_integer=0,
query_integer32=0,
query_integer64=0,
query_number=0.0,
query_float=0.0,
query_double=0.0,
query_string="str value",
query_string_byte="str value",
query_string_binary="str value",
query_boolean=True,
query_date=today_date,
query_date_time=today_datetime,
query_password="str value",
query_array_integer=[0],
query_array_integer32=[0],
query_array_integer64=[0],
query_array_number=[0.0],
query_array_float=[0.0],
query_array_double=[0.0],
query_array_string=[],
query_array_string_byte=None,
query_array_string_binary=None,
query_array_boolean=None,
query_array_date=None,
query_array_date_time=None,
query_array_password=None,
)
== ["query_array_string is required."]
)
def test_mandatory_array_string_parameter_provided_as_none_filled_array(
json_service, tmpdir
):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
today_date = datetime.date.today()
today_datetime = datetime.datetime.today()
assert (
generated_functions.json_get_all_parameters_types(
query_integer=0,
query_integer32=0,
query_integer64=0,
query_number=0.0,
query_float=0.0,
query_double=0.0,
query_string="str value",
query_string_byte="str value",
query_string_binary="str value",
query_boolean=True,
query_date=today_date,
query_date_time=today_datetime,
query_password="str value",
query_array_integer=[0],
query_array_integer32=[0],
query_array_integer64=[0],
query_array_number=[0.0],
query_array_float=[0.0],
query_array_double=[0.0],
query_array_string=[None],
query_array_string_byte=None,
query_array_string_binary=None,
query_array_boolean=None,
query_array_date=None,
query_array_date_time=None,
query_array_password=None,
)
== ["query_array_string is required."]
)
def test_mandatory_string_byte_parameter_not_provided(json_service, tmpdir):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
assert (
generated_functions.json_get_all_parameters_types(
query_integer=0,
query_integer32=0,
query_integer64=0,
query_number=0.0,
query_float=0.0,
query_double=0.0,
query_string="str value",
query_string_byte=None,
query_string_binary=None,
query_boolean=None,
query_date=None,
query_date_time=None,
query_password=None,
query_array_integer=None,
query_array_integer32=None,
query_array_integer64=None,
query_array_number=None,
query_array_float=None,
query_array_double=None,
query_array_string=None,
query_array_string_byte=None,
query_array_string_binary=None,
query_array_boolean=None,
query_array_date=None,
query_array_date_time=None,
query_array_password=None,
)
== ["query_string_byte is required."]
)
def test_mandatory_string_byte_parameter_provided_as_empty_array(json_service, tmpdir):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
assert (
generated_functions.json_get_all_parameters_types(
query_integer=0,
query_integer32=0,
query_integer64=0,
query_number=0.0,
query_float=0.0,
query_double=0.0,
query_string="str value",
query_string_byte=[],
query_string_binary=None,
query_boolean=None,
query_date=None,
query_date_time=None,
query_password=None,
query_array_integer=None,
query_array_integer32=None,
query_array_integer64=None,
query_array_number=None,
query_array_float=None,
query_array_double=None,
query_array_string=None,
query_array_string_byte=None,
query_array_string_binary=None,
query_array_boolean=None,
query_array_date=None,
query_array_date_time=None,
query_array_password=None,
)
== ["query_string_byte is required."]
)
def test_mandatory_string_byte_parameter_provided_as_none_filled_array(
json_service, tmpdir
):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
assert (
generated_functions.json_get_all_parameters_types(
query_integer=0,
query_integer32=0,
query_integer64=0,
query_number=0.0,
query_float=0.0,
query_double=0.0,
query_string="str value",
query_string_byte=[None],
query_string_binary=None,
query_boolean=None,
query_date=None,
query_date_time=None,
query_password=None,
query_array_integer=None,
query_array_integer32=None,
query_array_integer64=None,
query_array_number=None,
query_array_float=None,
query_array_double=None,
query_array_string=None,
query_array_string_byte=None,
query_array_string_binary=None,
query_array_boolean=None,
query_array_date=None,
query_array_date_time=None,
query_array_password=None,
)
== ["query_string_byte is required."]
)
def test_mandatory_array_string_byte_parameter_not_provided(json_service, tmpdir):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
today_date = datetime.date.today()
today_datetime = datetime.datetime.today()
assert (
generated_functions.json_get_all_parameters_types(
query_integer=0,
query_integer32=0,
query_integer64=0,
query_number=0.0,
query_float=0.0,
query_double=0.0,
query_string="str value",
query_string_byte="str value",
query_string_binary="str value",
query_boolean=True,
query_date=today_date,
query_date_time=today_datetime,
query_password="str value",
query_array_integer=[0],
query_array_integer32=[0],
query_array_integer64=[0],
query_array_number=[0.0],
query_array_float=[0.0],
query_array_double=[0.0],
query_array_string=["str value"],
query_array_string_byte=None,
query_array_string_binary=None,
query_array_boolean=None,
query_array_date=None,
query_array_date_time=None,
query_array_password=None,
)
== ["query_array_string_byte is required."]
)
def test_mandatory_array_string_byte_parameter_provided_as_empty_array(
json_service, tmpdir
):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
today_date = datetime.date.today()
today_datetime = datetime.datetime.today()
assert (
generated_functions.json_get_all_parameters_types(
query_integer=0,
query_integer32=0,
query_integer64=0,
query_number=0.0,
query_float=0.0,
query_double=0.0,
query_string="str value",
query_string_byte="str value",
query_string_binary="str value",
query_boolean=True,
query_date=today_date,
query_date_time=today_datetime,
query_password="str value",
query_array_integer=[0],
query_array_integer32=[0],
query_array_integer64=[0],
query_array_number=[0.0],
query_array_float=[0.0],
query_array_double=[0.0],
query_array_string=["str value"],
query_array_string_byte=[],
query_array_string_binary=None,
query_array_boolean=None,
query_array_date=None,
query_array_date_time=None,
query_array_password=None,
)
== ["query_array_string_byte is required."]
)
def test_mandatory_array_string_byte_parameter_provided_as_none_filled_array(
json_service, tmpdir
):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
today_date = datetime.date.today()
today_datetime = datetime.datetime.today()
assert (
generated_functions.json_get_all_parameters_types(
query_integer=0,
query_integer32=0,
query_integer64=0,
query_number=0.0,
query_float=0.0,
query_double=0.0,
query_string="str value",
query_string_byte="str value",
query_string_binary="str value",
query_boolean=True,
query_date=today_date,
query_date_time=today_datetime,
query_password="str value",
query_array_integer=[0],
query_array_integer32=[0],
query_array_integer64=[0],
query_array_number=[0.0],
query_array_float=[0.0],
query_array_double=[0.0],
query_array_string=["str value"],
query_array_string_byte=[None],
query_array_string_binary=None,
query_array_boolean=None,
query_array_date=None,
query_array_date_time=None,
query_array_password=None,
)
== ["query_array_string_byte is required."]
)
def test_mandatory_string_binary_parameter_not_provided(json_service, tmpdir):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
assert (
generated_functions.json_get_all_parameters_types(
query_integer=0,
query_integer32=0,
query_integer64=0,
query_number=0.0,
query_float=0.0,
query_double=0.0,
query_string="str value",
query_string_byte="str value",
query_string_binary=None,
query_boolean=None,
query_date=None,
query_date_time=None,
query_password=None,
query_array_integer=None,
query_array_integer32=None,
query_array_integer64=None,
query_array_number=None,
query_array_float=None,
query_array_double=None,
query_array_string=None,
query_array_string_byte=None,
query_array_string_binary=None,
query_array_boolean=None,
query_array_date=None,
query_array_date_time=None,
query_array_password=None,
)
== ["query_string_binary is required."]
)
def test_mandatory_string_binary_parameter_provided_as_empty_array(
json_service, tmpdir
):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
assert (
generated_functions.json_get_all_parameters_types(
query_integer=0,
query_integer32=0,
query_integer64=0,
query_number=0.0,
query_float=0.0,
query_double=0.0,
query_string="str value",
query_string_byte="str value",
query_string_binary=[],
query_boolean=None,
query_date=None,
query_date_time=None,
query_password=None,
query_array_integer=None,
query_array_integer32=None,
query_array_integer64=None,
query_array_number=None,
query_array_float=None,
query_array_double=None,
query_array_string=None,
query_array_string_byte=None,
query_array_string_binary=None,
query_array_boolean=None,
query_array_date=None,
query_array_date_time=None,
query_array_password=None,
)
== ["query_string_binary is required."]
)
def test_mandatory_string_binary_parameter_provided_as_none_filled_array(
json_service, tmpdir
):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
assert (
generated_functions.json_get_all_parameters_types(
query_integer=0,
query_integer32=0,
query_integer64=0,
query_number=0.0,
query_float=0.0,
query_double=0.0,
query_string="str value",
query_string_byte="str value",
query_string_binary=[None],
query_boolean=None,
query_date=None,
query_date_time=None,
query_password=None,
query_array_integer=None,
query_array_integer32=None,
query_array_integer64=None,
query_array_number=None,
query_array_float=None,
query_array_double=None,
query_array_string=None,
query_array_string_byte=None,
query_array_string_binary=None,
query_array_boolean=None,
query_array_date=None,
query_array_date_time=None,
query_array_password=None,
)
== ["query_string_binary is required."]
)
def test_mandatory_array_string_binary_parameter_not_provided(json_service, tmpdir):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
today_date = datetime.date.today()
today_datetime = datetime.datetime.today()
assert (
generated_functions.json_get_all_parameters_types(
query_integer=0,
query_integer32=0,
query_integer64=0,
query_number=0.0,
query_float=0.0,
query_double=0.0,
query_string="str value",
query_string_byte="str value",
query_string_binary="str value",
query_boolean=True,
query_date=today_date,
query_date_time=today_datetime,
query_password="str value",
query_array_integer=[0],
query_array_integer32=[0],
query_array_integer64=[0],
query_array_number=[0.0],
query_array_float=[0.0],
query_array_double=[0.0],
query_array_string=["str value"],
query_array_string_byte=["str value"],
query_array_string_binary=None,
query_array_boolean=None,
query_array_date=None,
query_array_date_time=None,
query_array_password=None,
)
== ["query_array_string_binary is required."]
)
def test_mandatory_array_string_binary_parameter_provided_as_empty_array(
json_service, tmpdir
):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
today_date = datetime.date.today()
today_datetime = datetime.datetime.today()
assert (
generated_functions.json_get_all_parameters_types(
query_integer=0,
query_integer32=0,
query_integer64=0,
query_number=0.0,
query_float=0.0,
query_double=0.0,
query_string="str value",
query_string_byte="str value",
query_string_binary="str value",
query_boolean=True,
query_date=today_date,
query_date_time=today_datetime,
query_password="str value",
query_array_integer=[0],
query_array_integer32=[0],
query_array_integer64=[0],
query_array_number=[0.0],
query_array_float=[0.0],
query_array_double=[0.0],
query_array_string=["str value"],
query_array_string_byte=["str value"],
query_array_string_binary=[],
query_array_boolean=None,
query_array_date=None,
query_array_date_time=None,
query_array_password=None,
)
== ["query_array_string_binary is required."]
)
def test_mandatory_array_string_binary_parameter_provided_as_none_filled_array(
json_service, tmpdir
):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
today_date = datetime.date.today()
today_datetime = datetime.datetime.today()
assert (
generated_functions.json_get_all_parameters_types(
query_integer=0,
query_integer32=0,
query_integer64=0,
query_number=0.0,
query_float=0.0,
query_double=0.0,
query_string="str value",
query_string_byte="str value",
query_string_binary="str value",
query_boolean=True,
query_date=today_date,
query_date_time=today_datetime,
query_password="str value",
query_array_integer=[0],
query_array_integer32=[0],
query_array_integer64=[0],
query_array_number=[0.0],
query_array_float=[0.0],
query_array_double=[0.0],
query_array_string=["str value"],
query_array_string_byte=["str value"],
query_array_string_binary=[None],
query_array_boolean=None,
query_array_date=None,
query_array_date_time=None,
query_array_password=None,
)
== ["query_array_string_binary is required."]
)
def test_mandatory_boolean_parameter_not_provided(json_service, tmpdir):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
assert (
generated_functions.json_get_all_parameters_types(
query_integer=0,
query_integer32=0,
query_integer64=0,
query_number=0.0,
query_float=0.0,
query_double=0.0,
query_string="str value",
query_string_byte="str value",
query_string_binary="str value",
query_boolean=None,
query_date=None,
query_date_time=None,
query_password=None,
query_array_integer=None,
query_array_integer32=None,
query_array_integer64=None,
query_array_number=None,
query_array_float=None,
query_array_double=None,
query_array_string=None,
query_array_string_byte=None,
query_array_string_binary=None,
query_array_boolean=None,
query_array_date=None,
query_array_date_time=None,
query_array_password=None,
)
== ["query_boolean is required."]
)
def test_mandatory_boolean_parameter_with_wrong_type(json_service, tmpdir):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
assert (
generated_functions.json_get_all_parameters_types(
query_integer=0,
query_integer32=0,
query_integer64=0,
query_number=0.0,
query_float=0.0,
query_double=0.0,
query_string="str value",
query_string_byte="str value",
query_string_binary="str value",
query_boolean="non boolean",
query_date=None,
query_date_time=None,
query_password=None,
query_array_integer=None,
query_array_integer32=None,
query_array_integer64=None,
query_array_number=None,
query_array_float=None,
query_array_double=None,
query_array_string=None,
query_array_string_byte=None,
query_array_string_binary=None,
query_array_boolean=None,
query_array_date=None,
query_array_date_time=None,
query_array_password=None,
)
== [
"query_boolean value \"non boolean\" (<class 'str'> type) must be a boolean."
]
)
def test_optional_boolean_parameter_with_wrong_type(json_service, tmpdir):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
assert generated_functions.json_get_all_optional_parameters_types(
query_boolean="non boolean"
) == ["query_boolean value \"non boolean\" (<class 'str'> type) must be a boolean."]
def test_mandatory_array_boolean_parameter_not_provided(json_service, tmpdir):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
today_date = datetime.date.today()
today_datetime = datetime.datetime.today()
assert (
generated_functions.json_get_all_parameters_types(
query_integer=0,
query_integer32=0,
query_integer64=0,
query_number=0.0,
query_float=0.0,
query_double=0.0,
query_string="str value",
query_string_byte="str value",
query_string_binary="str value",
query_boolean=True,
query_date=today_date,
query_date_time=today_datetime,
query_password="str value",
query_array_integer=[0],
query_array_integer32=[0],
query_array_integer64=[0],
query_array_number=[0.0],
query_array_float=[0.0],
query_array_double=[0.0],
query_array_string=["str value"],
query_array_string_byte=["str value"],
query_array_string_binary=["str value"],
query_array_boolean=None,
query_array_date=None,
query_array_date_time=None,
query_array_password=None,
)
== ["query_array_boolean is required."]
)
def test_mandatory_array_boolean_parameter_provided_as_empty_array(
json_service, tmpdir
):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
today_date = datetime.date.today()
today_datetime = datetime.datetime.today()
assert (
generated_functions.json_get_all_parameters_types(
query_integer=0,
query_integer32=0,
query_integer64=0,
query_number=0.0,
query_float=0.0,
query_double=0.0,
query_string="str value",
query_string_byte="str value",
query_string_binary="str value",
query_boolean=True,
query_date=today_date,
query_date_time=today_datetime,
query_password="str value",
query_array_integer=[0],
query_array_integer32=[0],
query_array_integer64=[0],
query_array_number=[0.0],
query_array_float=[0.0],
query_array_double=[0.0],
query_array_string=["str value"],
query_array_string_byte=["str value"],
query_array_string_binary=["str value"],
query_array_boolean=[],
query_array_date=None,
query_array_date_time=None,
query_array_password=None,
)
== ["query_array_boolean is required."]
)
def test_mandatory_array_boolean_parameter_provided_as_none_filled_array(
json_service, tmpdir
):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
today_date = datetime.date.today()
today_datetime = datetime.datetime.today()
assert (
generated_functions.json_get_all_parameters_types(
query_integer=0,
query_integer32=0,
query_integer64=0,
query_number=0.0,
query_float=0.0,
query_double=0.0,
query_string="str value",
query_string_byte="str value",
query_string_binary="str value",
query_boolean=True,
query_date=today_date,
query_date_time=today_datetime,
query_password="str value",
query_array_integer=[0],
query_array_integer32=[0],
query_array_integer64=[0],
query_array_number=[0.0],
query_array_float=[0.0],
query_array_double=[0.0],
query_array_string=["str value"],
query_array_string_byte=["str value"],
query_array_string_binary=["str value"],
query_array_boolean=[None],
query_array_date=None,
query_array_date_time=None,
query_array_password=None,
)
== ["query_array_boolean is required."]
)
def test_mandatory_array_boolean_parameter_with_wrong_type(json_service, tmpdir):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
today_date = datetime.date.today()
today_datetime = datetime.datetime.today()
assert generated_functions.json_get_all_parameters_types(
query_integer=0,
query_integer32=0,
query_integer64=0,
query_number=0.0,
query_float=0.0,
query_double=0.0,
query_string="str value",
query_string_byte="str value",
query_string_binary="str value",
query_boolean=True,
query_date=today_date,
query_date_time=today_datetime,
query_password="str value",
query_array_integer=[0],
query_array_integer32=[0],
query_array_integer64=[0],
query_array_number=[0.0],
query_array_float=[0.0],
query_array_double=[0.0],
query_array_string=["str value"],
query_array_string_byte=["str value"],
query_array_string_binary=["str value"],
query_array_boolean="non boolean",
query_array_date=None,
query_array_date_time=None,
query_array_password=None,
) == [
"query_array_boolean value \"non boolean\" (<class 'str'> type) must be a boolean."
]
def test_mandatory_array_boolean_parameter_with_wrong_type_in_array(
json_service, tmpdir
):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
today_date = datetime.date.today()
today_datetime = datetime.datetime.today()
assert generated_functions.json_get_all_parameters_types(
query_integer=0,
query_integer32=0,
query_integer64=0,
query_number=0.0,
query_float=0.0,
query_double=0.0,
query_string="str value",
query_string_byte="str value",
query_string_binary="str value",
query_boolean=True,
query_date=today_date,
query_date_time=today_datetime,
query_password="str value",
query_array_integer=[0],
query_array_integer32=[0],
query_array_integer64=[0],
query_array_number=[0.0],
query_array_float=[0.0],
query_array_double=[0.0],
query_array_string=["str value"],
query_array_string_byte=["str value"],
query_array_string_binary=["str value"],
query_array_boolean=["non boolean"],
query_array_date=None,
query_array_date_time=None,
query_array_password=None,
) == [
"query_array_boolean value \"non boolean\" (<class 'str'> type) must be a boolean."
]
def test_optional_array_boolean_parameter_with_wrong_type(json_service, tmpdir):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
assert generated_functions.json_get_all_optional_parameters_types(
query_array_boolean="non boolean"
) == [
"query_array_boolean value \"non boolean\" (<class 'str'> type) must be a boolean."
]
def test_optional_array_boolean_parameter_with_wrong_type_in_array(
json_service, tmpdir
):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
assert generated_functions.json_get_all_optional_parameters_types(
query_array_boolean=["non boolean"]
) == [
"query_array_boolean value \"non boolean\" (<class 'str'> type) must be a boolean."
]
def test_mandatory_date_parameter_not_provided(json_service, tmpdir):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
assert (
generated_functions.json_get_all_parameters_types(
query_integer=0,
query_integer32=0,
query_integer64=0,
query_number=0.0,
query_float=0.0,
query_double=0.0,
query_string="str value",
query_string_byte="str value",
query_string_binary="str value",
query_boolean=True,
query_date=None,
query_date_time=None,
query_password=None,
query_array_integer=None,
query_array_integer32=None,
query_array_integer64=None,
query_array_number=None,
query_array_float=None,
query_array_double=None,
query_array_string=None,
query_array_string_byte=None,
query_array_string_binary=None,
query_array_boolean=None,
query_array_date=None,
query_array_date_time=None,
query_array_password=None,
)
== ["query_date is required."]
)
def test_mandatory_date_parameter_with_wrong_type(json_service, tmpdir):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
assert (
generated_functions.json_get_all_parameters_types(
query_integer=0,
query_integer32=0,
query_integer64=0,
query_number=0.0,
query_float=0.0,
query_double=0.0,
query_string="str value",
query_string_byte="str value",
query_string_binary="str value",
query_boolean=True,
query_date="str value",
query_date_time=None,
query_password=None,
query_array_integer=None,
query_array_integer32=None,
query_array_integer64=None,
query_array_number=None,
query_array_float=None,
query_array_double=None,
query_array_string=None,
query_array_string_byte=None,
query_array_string_binary=None,
query_array_boolean=None,
query_array_date=None,
query_array_date_time=None,
query_array_password=None,
)
== ["query_date value \"str value\" (<class 'str'> type) must be a date."]
)
def test_optional_date_parameter_with_wrong_type(json_service, tmpdir):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
assert generated_functions.json_get_all_optional_parameters_types(
query_date="str value"
) == ["query_date value \"str value\" (<class 'str'> type) must be a date."]
def test_mandatory_array_date_parameter_not_provided(json_service, tmpdir):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
today_date = datetime.date.today()
today_datetime = datetime.datetime.today()
assert (
generated_functions.json_get_all_parameters_types(
query_integer=0,
query_integer32=0,
query_integer64=0,
query_number=0.0,
query_float=0.0,
query_double=0.0,
query_string="str value",
query_string_byte="str value",
query_string_binary="str value",
query_boolean=True,
query_date=today_date,
query_date_time=today_datetime,
query_password="str value",
query_array_integer=[0],
query_array_integer32=[0],
query_array_integer64=[0],
query_array_number=[0.0],
query_array_float=[0.0],
query_array_double=[0.0],
query_array_string=["str value"],
query_array_string_byte=["str value"],
query_array_string_binary=["str value"],
query_array_boolean=[True],
query_array_date=None,
query_array_date_time=None,
query_array_password=None,
)
== ["query_array_date is required."]
)
def test_mandatory_array_date_parameter_provided_as_empty_array(json_service, tmpdir):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
today_date = datetime.date.today()
today_datetime = datetime.datetime.today()
assert (
generated_functions.json_get_all_parameters_types(
query_integer=0,
query_integer32=0,
query_integer64=0,
query_number=0.0,
query_float=0.0,
query_double=0.0,
query_string="str value",
query_string_byte="str value",
query_string_binary="str value",
query_boolean=True,
query_date=today_date,
query_date_time=today_datetime,
query_password="str value",
query_array_integer=[0],
query_array_integer32=[0],
query_array_integer64=[0],
query_array_number=[0.0],
query_array_float=[0.0],
query_array_double=[0.0],
query_array_string=["str value"],
query_array_string_byte=["str value"],
query_array_string_binary=["str value"],
query_array_boolean=[True],
query_array_date=[],
query_array_date_time=None,
query_array_password=None,
)
== ["query_array_date is required."]
)
def test_mandatory_array_date_parameter_provided_as_none_filled_array(
json_service, tmpdir
):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
today_date = datetime.date.today()
today_datetime = datetime.datetime.today()
assert (
generated_functions.json_get_all_parameters_types(
query_integer=0,
query_integer32=0,
query_integer64=0,
query_number=0.0,
query_float=0.0,
query_double=0.0,
query_string="str value",
query_string_byte="str value",
query_string_binary="str value",
query_boolean=True,
query_date=today_date,
query_date_time=today_datetime,
query_password="str value",
query_array_integer=[0],
query_array_integer32=[0],
query_array_integer64=[0],
query_array_number=[0.0],
query_array_float=[0.0],
query_array_double=[0.0],
query_array_string=["str value"],
query_array_string_byte=["str value"],
query_array_string_binary=["str value"],
query_array_boolean=[True],
query_array_date=[None],
query_array_date_time=None,
query_array_password=None,
)
== ["query_array_date is required."]
)
def test_mandatory_array_date_parameter_with_wrong_type(json_service, tmpdir):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
today_date = datetime.date.today()
today_datetime = datetime.datetime.today()
assert (
generated_functions.json_get_all_parameters_types(
query_integer=0,
query_integer32=0,
query_integer64=0,
query_number=0.0,
query_float=0.0,
query_double=0.0,
query_string="str value",
query_string_byte="str value",
query_string_binary="str value",
query_boolean=True,
query_date=today_date,
query_date_time=today_datetime,
query_password="str value",
query_array_integer=[0],
query_array_integer32=[0],
query_array_integer64=[0],
query_array_number=[0.0],
query_array_float=[0.0],
query_array_double=[0.0],
query_array_string=["str value"],
query_array_string_byte=["str value"],
query_array_string_binary=["str value"],
query_array_boolean=[True],
query_array_date="str value",
query_array_date_time=None,
query_array_password=None,
)
== ["query_array_date value \"str value\" (<class 'str'> type) must be a date."]
)
def test_mandatory_array_date_parameter_with_wrong_type_in_array(json_service, tmpdir):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
today_date = datetime.date.today()
today_datetime = datetime.datetime.today()
assert (
generated_functions.json_get_all_parameters_types(
query_integer=0,
query_integer32=0,
query_integer64=0,
query_number=0.0,
query_float=0.0,
query_double=0.0,
query_string="str value",
query_string_byte="str value",
query_string_binary="str value",
query_boolean=True,
query_date=today_date,
query_date_time=today_datetime,
query_password="str value",
query_array_integer=[0],
query_array_integer32=[0],
query_array_integer64=[0],
query_array_number=[0.0],
query_array_float=[0.0],
query_array_double=[0.0],
query_array_string=["str value"],
query_array_string_byte=["str value"],
query_array_string_binary=["str value"],
query_array_boolean=[True],
query_array_date=["str value"],
query_array_date_time=None,
query_array_password=None,
)
== ["query_array_date value \"str value\" (<class 'str'> type) must be a date."]
)
def test_optional_array_date_parameter_with_wrong_type(json_service, tmpdir):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
assert generated_functions.json_get_all_optional_parameters_types(
query_array_date="str value"
) == ["query_array_date value \"str value\" (<class 'str'> type) must be a date."]
def test_optional_array_date_parameter_with_wrong_type_in_array(json_service, tmpdir):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
assert generated_functions.json_get_all_optional_parameters_types(
query_array_date=["str value"]
) == ["query_array_date value \"str value\" (<class 'str'> type) must be a date."]
def test_mandatory_date_time_parameter_not_provided(json_service, tmpdir):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
today_date = datetime.date.today()
assert (
generated_functions.json_get_all_parameters_types(
query_integer=0,
query_integer32=0,
query_integer64=0,
query_number=0.0,
query_float=0.0,
query_double=0.0,
query_string="str value",
query_string_byte="str value",
query_string_binary="str value",
query_boolean=True,
query_date=today_date,
query_date_time=None,
query_password=None,
query_array_integer=None,
query_array_integer32=None,
query_array_integer64=None,
query_array_number=None,
query_array_float=None,
query_array_double=None,
query_array_string=None,
query_array_string_byte=None,
query_array_string_binary=None,
query_array_boolean=None,
query_array_date=None,
query_array_date_time=None,
query_array_password=None,
)
== ["query_date_time is required."]
)
def test_mandatory_date_time_parameter_with_wrong_type(json_service, tmpdir):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
today_date = datetime.date.today()
assert generated_functions.json_get_all_parameters_types(
query_integer=0,
query_integer32=0,
query_integer64=0,
query_number=0.0,
query_float=0.0,
query_double=0.0,
query_string="str value",
query_string_byte="str value",
query_string_binary="str value",
query_boolean=True,
query_date=today_date,
query_date_time="str value",
query_password=None,
query_array_integer=None,
query_array_integer32=None,
query_array_integer64=None,
query_array_number=None,
query_array_float=None,
query_array_double=None,
query_array_string=None,
query_array_string_byte=None,
query_array_string_binary=None,
query_array_boolean=None,
query_array_date=None,
query_array_date_time=None,
query_array_password=None,
) == [
"query_date_time value \"str value\" (<class 'str'> type) must be a date time."
]
def test_optional_date_time_parameter_with_wrong_type(json_service, tmpdir):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
assert generated_functions.json_get_all_optional_parameters_types(
query_date_time="str value"
) == [
"query_date_time value \"str value\" (<class 'str'> type) must be a date time."
]
def test_mandatory_array_date_time_parameter_not_provided(json_service, tmpdir):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
today_date = datetime.date.today()
today_datetime = datetime.datetime.today()
assert (
generated_functions.json_get_all_parameters_types(
query_integer=0,
query_integer32=0,
query_integer64=0,
query_number=0.0,
query_float=0.0,
query_double=0.0,
query_string="str value",
query_string_byte="str value",
query_string_binary="str value",
query_boolean=True,
query_date=today_date,
query_date_time=today_datetime,
query_password="str value",
query_array_integer=[0],
query_array_integer32=[0],
query_array_integer64=[0],
query_array_number=[0.0],
query_array_float=[0.0],
query_array_double=[0.0],
query_array_string=["str value"],
query_array_string_byte=["str value"],
query_array_string_binary=["str value"],
query_array_boolean=[True],
query_array_date=[today_date],
query_array_date_time=None,
query_array_password=None,
)
== ["query_array_date_time is required."]
)
def test_mandatory_array_date_time_parameter_provided_as_empty_array(
json_service, tmpdir
):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
today_date = datetime.date.today()
today_datetime = datetime.datetime.today()
assert (
generated_functions.json_get_all_parameters_types(
query_integer=0,
query_integer32=0,
query_integer64=0,
query_number=0.0,
query_float=0.0,
query_double=0.0,
query_string="str value",
query_string_byte="str value",
query_string_binary="str value",
query_boolean=True,
query_date=today_date,
query_date_time=today_datetime,
query_password="str value",
query_array_integer=[0],
query_array_integer32=[0],
query_array_integer64=[0],
query_array_number=[0.0],
query_array_float=[0.0],
query_array_double=[0.0],
query_array_string=["str value"],
query_array_string_byte=["str value"],
query_array_string_binary=["str value"],
query_array_boolean=[True],
query_array_date=[today_date],
query_array_date_time=[],
query_array_password=None,
)
== ["query_array_date_time is required."]
)
def test_mandatory_array_date_time_parameter_provided_as_none_filled_array(
json_service, tmpdir
):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
today_date = datetime.date.today()
today_datetime = datetime.datetime.today()
assert (
generated_functions.json_get_all_parameters_types(
query_integer=0,
query_integer32=0,
query_integer64=0,
query_number=0.0,
query_float=0.0,
query_double=0.0,
query_string="str value",
query_string_byte="str value",
query_string_binary="str value",
query_boolean=True,
query_date=today_date,
query_date_time=today_datetime,
query_password="str value",
query_array_integer=[0],
query_array_integer32=[0],
query_array_integer64=[0],
query_array_number=[0.0],
query_array_float=[0.0],
query_array_double=[0.0],
query_array_string=["str value"],
query_array_string_byte=["str value"],
query_array_string_binary=["str value"],
query_array_boolean=[True],
query_array_date=[today_date],
query_array_date_time=[None],
query_array_password=None,
)
== ["query_array_date_time is required."]
)
def test_mandatory_array_date_time_parameter_with_wrong_type(json_service, tmpdir):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
today_date = datetime.date.today()
today_datetime = datetime.datetime.today()
assert generated_functions.json_get_all_parameters_types(
query_integer=0,
query_integer32=0,
query_integer64=0,
query_number=0.0,
query_float=0.0,
query_double=0.0,
query_string="str value",
query_string_byte="str value",
query_string_binary="str value",
query_boolean=True,
query_date=today_date,
query_date_time=today_datetime,
query_password="str value",
query_array_integer=[0],
query_array_integer32=[0],
query_array_integer64=[0],
query_array_number=[0.0],
query_array_float=[0.0],
query_array_double=[0.0],
query_array_string=["str value"],
query_array_string_byte=["str value"],
query_array_string_binary=["str value"],
query_array_boolean=[True],
query_array_date=[today_date],
query_array_date_time="str value",
query_array_password=None,
) == [
"query_array_date_time value \"str value\" (<class 'str'> type) must be a date time."
]
def test_mandatory_array_date_time_parameter_with_wrong_type_in_array(
json_service, tmpdir
):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
today_date = datetime.date.today()
today_datetime = datetime.datetime.today()
assert generated_functions.json_get_all_parameters_types(
query_integer=0,
query_integer32=0,
query_integer64=0,
query_number=0.0,
query_float=0.0,
query_double=0.0,
query_string="str value",
query_string_byte="str value",
query_string_binary="str value",
query_boolean=True,
query_date=today_date,
query_date_time=today_datetime,
query_password="str value",
query_array_integer=[0],
query_array_integer32=[0],
query_array_integer64=[0],
query_array_number=[0.0],
query_array_float=[0.0],
query_array_double=[0.0],
query_array_string=["str value"],
query_array_string_byte=["str value"],
query_array_string_binary=["str value"],
query_array_boolean=[True],
query_array_date=[today_date],
query_array_date_time=["str value"],
query_array_password=None,
) == [
"query_array_date_time value \"str value\" (<class 'str'> type) must be a date time."
]
def test_valid_mandatory_parameters(json_service, tmpdir, responses: RequestsMock):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
first_date = datetime.date(year=2020, month=3, day=4)
second_date = datetime.date(year=2020, month=3, day=5)
first_datetime = datetime.datetime(year=2020, month=3, day=4)
second_datetime = datetime.datetime(year=2020, month=3, day=5)
responses.add(
responses.GET,
url="http://localhost:8954/all_parameters_types?query_integer=1&query_integer32=10&query_integer64=100&query_number=0.1&query_float=1.01&query_double=1.1&query_string=string&query_string_byte=string+bytes&query_string_binary=string+binary&query_boolean=True&query_date=2020-03-04&query_date_time=2020-03-04T00%3A00%3A00&query_password=password&query_array_integer=1&query_array_integer=2&query_array_integer32=10&query_array_integer32=20&query_array_integer64=100&query_array_integer64=200&query_array_number=0.1&query_array_number=0.2&query_array_float=1.01&query_array_float=2.01&query_array_double=1.1&query_array_double=2.1&query_array_string=string+1&query_array_string=string+2&query_array_string_byte=string+bytes+1&query_array_string_byte=string+bytes+2&query_array_string_binary=string+binary+1&query_array_string_binary=string+binary+2&query_array_boolean=True&query_array_boolean=False&query_array_date=2020-03-04&query_array_date=2020-03-05&query_array_date_time=2020-03-04T00%3A00%3A00&query_array_date_time=2020-03-05T00%3A00%3A00&query_array_password=password+1&query_array_password=password+2",
json=[],
match_querystring=True,
)
assert (
generated_functions.json_get_all_parameters_types(
query_integer=1,
query_integer32=10,
query_integer64=100,
query_number=0.1,
query_float=1.01,
query_double=1.1,
query_string="string",
query_string_byte="string bytes",
query_string_binary="string binary",
query_boolean=True,
query_date=first_date,
query_date_time=first_datetime,
query_password="password",
query_array_integer=[1, 2],
query_array_integer32=[10, 20],
query_array_integer64=[100, 200],
query_array_number=[0.1, 0.2],
query_array_float=[1.01, 2.01],
query_array_double=[1.1, 2.1],
query_array_string=["string 1", "string 2"],
query_array_string_byte=["string bytes 1", "string bytes 2"],
query_array_string_binary=["string binary 1", "string binary 2"],
query_array_boolean=[True, False],
query_array_date=[first_date, second_date],
query_array_date_time=[first_datetime, second_datetime],
query_array_password=["password 1", "password 2"],
)
== [[""]]
)
def test_optional_array_date_time_parameter_with_wrong_type(json_service, tmpdir):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
assert generated_functions.json_get_all_optional_parameters_types(
query_array_date_time="str value"
) == [
"query_array_date_time value \"str value\" (<class 'str'> type) must be a date time."
]
def test_optional_array_date_time_parameter_with_wrong_type_in_array(
json_service, tmpdir
):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
assert generated_functions.json_get_all_optional_parameters_types(
query_array_date_time=["str value"]
) == [
"query_array_date_time value \"str value\" (<class 'str'> type) must be a date time."
]
def test_list_of_list_form_post(json_service, tmpdir, responses: RequestsMock):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
responses.add(
responses.POST,
url="http://localhost:8954/list_of_list_form",
json=[],
match_querystring=True,
)
assert (
generated_functions.json_post_list_of_list_form(
rules=[
["1", "EBE", "SNCF", "rule_1", "output_1"],
["1", "EFR,EDE", "ENGIE", "rule_2", "output_2"],
],
items=[
["Deal Number", "Underlying", "Client"],
["0001", "EBE", "SNCF"],
["0002", "EFR", "ENGIE"],
["0003", "EDE", "ENGIE"],
],
)
== [[""]]
)
assert (
_get_request(responses, "http://localhost:8954/list_of_list_form").body
== b"""{"rules": [["1", "EBE", "SNCF", "rule_1", "output_1"], ["1", "EFR,EDE", "ENGIE", "rule_2", "output_2"]], "items": [["Deal Number", "Underlying", "Client"], ["0001", "EBE", "SNCF"], ["0002", "EFR", "ENGIE"], ["0003", "EDE", "ENGIE"]]}"""
)
def test_list_of_list_form_post_with_non_str_date_failure(json_service, tmpdir):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
assert (
generated_functions.json_post_list_of_list_form(
rules=[
["1", "EBE", "SNCF", "rule_1", "output_1"],
["1", "EFR,EDE", "ENGIE", "rule_2", "output_2"],
],
items=[
["Deal Number", "Underlying", "Client"],
[1, datetime.datetime.strptime("2017-03-04", "%Y-%m-%d"), "SNCF"],
[2, datetime.datetime.strptime("2017-03-05", "%Y-%m-%d"), "ENGIE"],
[3, datetime.datetime.strptime("2017-03-06", "%Y-%m-%d"), "ENGIE"],
],
)
== "items value \"2017-03-04 00:00:00\" (<class 'datetime.datetime'> type) must be formatted as text."
)
def test_list_of_list_form_post_with_non_str(
json_service, tmpdir, responses: RequestsMock
):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
responses.add(
responses.POST,
url="http://localhost:8954/list_of_list_form",
json=[],
match_querystring=True,
)
assert generated_functions.json_post_list_of_list_form(
items=[[1.0, 1.2, "SNCF"]]
) == [[""]]
assert (
_get_request(responses, "http://localhost:8954/list_of_list_form").body
== b"""{"rules": null, "items": [["1", "1.2", "SNCF"]]}"""
)
def test_list_of_list_form_post_with_single_list(
json_service, tmpdir, responses: RequestsMock
):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
responses.add(
responses.POST,
url="http://localhost:8954/list_of_list_form",
json=[],
match_querystring=True,
)
assert generated_functions.json_post_list_of_list_form(
rules=[["rule1", "rule2", "rule3"]], items=[["item1", "item2", "item3"]]
) == [[""]]
assert (
_get_request(responses, "http://localhost:8954/list_of_list_form").body
== b"""{"rules": [["rule1", "rule2", "rule3"]], "items": [["item1", "item2", "item3"]]}"""
)
def test_dict_with_dict_json_post(json_service, tmpdir, responses: RequestsMock):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
responses.add(
responses.POST,
url="http://localhost:8954/dict_with_dict",
json=[],
match_querystring=True,
)
assert (
generated_functions.json_post_dict_with_dict(
inner_dict=[["key1", "key2", "key3"], ["value10", "value20", "value30"]],
dict_field1="value1",
dict_field2="value2",
)
== [[""]]
)
assert (
_get_request(responses, "http://localhost:8954/dict_with_dict").body
== b"""{"inner_dict": {"key1": "value10", "key2": "value20", "key3": "value30"}, "dict_field1": "value1", "dict_field2": "value2"}"""
)
def test_dict_with_dict_list_json_post(json_service, tmpdir, responses: RequestsMock):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
responses.add(
responses.POST,
url="http://localhost:8954/dict_with_dict_list",
json=[],
match_querystring=True,
)
assert (
generated_functions.json_post_dict_with_dict_list(
inner_dict_list=[
["key1", "key2", "key3"],
["value10", "value20", "value30"],
["value11", "value21", "value31"],
["value12", "value22", "value32"],
],
dict_field1="value000",
dict_field2="value010",
)
== [[""]]
)
assert (
_get_request(responses, "http://localhost:8954/dict_with_dict_list").body
== b"""{"inner_dict_list": [{"key1": "value10", "key2": "value20", "key3": "value30"}, {"key1": "value11", "key2": "value21", "key3": "value31"}, {"key1": "value12", "key2": "value22", "key3": "value32"}], "dict_field1": "value000", "dict_field2": "value010"}"""
)
def test_dict_with_list_of_list_json_post(
json_service, tmpdir, responses: RequestsMock
):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
responses.add(
responses.POST,
url="http://localhost:8954/dict_with_list_of_list",
json=[],
match_querystring=True,
)
assert (
generated_functions.json_post_dict_with_list_of_list(
inner_list_of_list=[
["key1", "key2", "key3"],
["value10", "value20", "value30"],
["value11", "value21", "value31"],
["value12", "value22", "value32"],
],
dict_field1="value000",
dict_field2="value010",
)
== [[""]]
)
assert (
_get_request(responses, "http://localhost:8954/dict_with_list_of_list").body
== b"""{"inner_list_of_list": [["key1", "key2", "key3"], ["value10", "value20", "value30"], ["value11", "value21", "value31"], ["value12", "value22", "value32"]], "dict_field1": "value000", "dict_field2": "value010"}"""
)
def test_dict_with_list_of_list_json_post_a_single_list(
json_service, tmpdir, responses: RequestsMock
):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
responses.add(
responses.POST,
url="http://localhost:8954/dict_with_list_of_list",
json=[],
match_querystring=True,
)
assert (
generated_functions.json_post_dict_with_list_of_list(
inner_list_of_list=[["key1", "key2", "key3"]],
dict_field1="value000",
dict_field2="value010",
)
== [[""]]
)
assert (
_get_request(responses, "http://localhost:8954/dict_with_list_of_list").body
== b"""{"inner_list_of_list": [["key1", "key2", "key3"]], "dict_field1": "value000", "dict_field2": "value010"}"""
)
def test_dict_string_json_post(json_service, tmpdir, responses: RequestsMock):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
responses.add(
responses.POST,
url="http://localhost:8954/dict_string",
json=[],
match_querystring=True,
)
assert generated_functions.json_post_dict_string(
dict_field1=34, dict_field2=890.32 # Send as integer
) == [[""]]
assert (
_get_request(responses, "http://localhost:8954/dict_string").body
== b"""{"dict_field1": "34", "dict_field2": "890.32"}"""
)
def test_dict_string_json_post_without_non_required(
json_service, tmpdir, responses: RequestsMock
):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
responses.add(
responses.POST,
url="http://localhost:8954/dict_string",
json=[],
match_querystring=True,
)
assert generated_functions.json_post_dict_string(dict_field1=34) == [[""]]
assert (
_get_request(responses, "http://localhost:8954/dict_string").body
== b"""{"dict_field1": "34", "dict_field2": null}"""
)
def test_dict_string_json_post_without_required(json_service, tmpdir):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
with pytest.raises(Exception) as exception_info:
generated_functions.json_post_dict_string(dict_field2=34.5)
assert (
str(exception_info.value)
== "json_post_dict_string() missing 1 required positional argument: 'dict_field1'"
)
def test_get_empty_list_parameter(json_service, tmpdir):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
assert (
generated_functions.json_get_list_parameter(list_parameter=[])
== "list_parameter is required."
)
def test_get_none_filled_list_parameter(json_service, tmpdir):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
assert (
generated_functions.json_get_list_parameter(list_parameter=[None, None, None])
== "list_parameter is required."
)
def test_get_none_as_first_list_parameter(
json_service, tmpdir, responses: RequestsMock
):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
responses.add(
responses.GET,
url="http://localhost:8954/list_parameter?list_parameter=valid",
json=[],
match_querystring=True,
)
assert generated_functions.json_get_list_parameter(
list_parameter=[None, "valid"]
) == [[""]]
def test_get_none_as_last_list_parameter(json_service, tmpdir, responses: RequestsMock):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
responses.add(
responses.GET,
url="http://localhost:8954/list_parameter?list_parameter=valid",
json=[],
match_querystring=True,
)
assert generated_functions.json_get_list_parameter(
list_parameter=["valid", None]
) == [[""]]
def test_get_none_in_list_parameter(json_service, tmpdir, responses: RequestsMock):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
responses.add(
responses.GET,
url="http://localhost:8954/list_parameter?list_parameter=valid1&list_parameter=valid2",
json=[],
match_querystring=True,
)
assert generated_functions.json_get_list_parameter(
list_parameter=["valid1", None, "valid2"]
) == [[""]]
def test_get_none_as_list_parameter(json_service, tmpdir):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
assert (
generated_functions.json_get_list_parameter(list_parameter=None)
== "list_parameter is required."
)
def test_different_location_same_name(json_service, responses, tmpdir):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
responses.add(
responses.POST,
url="http://localhost:8954/different_location_same_name/path%20value?dict_field1=query value",
json=[],
match_querystring=True,
)
assert (
generated_functions.json_post_different_location_same_name(
dict_field1=34,
dict_field2="test",
header_dict_field1="header value",
query_dict_field1="query value",
path_dict_field1="path value",
)
== [[""]]
)
request = _get_request(
responses,
"http://localhost:8954/different_location_same_name/path%20value?dict_field1=query+value",
)
assert request.body == b'{"dict_field1": "34", "dict_field2": "test"}'
assert request.headers["dict_field1"] == "header value"
def test_post_list_dict_no_ref(json_service, responses, tmpdir):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
responses.add(
responses.POST,
url="http://localhost:8954/list_dict_no_ref",
json=[
{"header1": "value1", "header2": "value2"},
{"header1": "value10", "header2": "value20"},
],
match_querystring=True,
)
assert generated_functions.json_post_list_dict_no_ref(
payload=[["header1", "header2"], ["value1", "value2"], ["value10", "value20"]]
) == [["header1", "header2"], ["value1", "value2"], ["value10", "value20"]]
assert (
_get_request(responses, "http://localhost:8954/list_dict_no_ref").body
== b'[{"header1": "value1", "header2": "value2"}, {"header1": "value10", "header2": "value20"}]'
)
def test_post_body_with_properties(json_service, responses, tmpdir):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
responses.add(
responses.POST,
url="http://localhost:8954/body_with_properties",
json={"bool_field": True, "int_field": None, "str_field": None},
match_querystring=True,
)
assert generated_functions.json_post_body_with_properties(bool_field=True) == [
["bool_field", "int_field", "str_field"],
[True, "", ""],
]
assert (
_get_request(responses, "http://localhost:8954/body_with_properties").body
== b'{"bool_field": true, "int_field": null, "str_field": null}'
)
def test_get_valid_int_choice(json_service, responses, tmpdir):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
responses.add(
responses.GET,
url="http://localhost:8954/int_choices?int_param=1",
json={"int_param": "1"},
match_querystring=True,
)
assert generated_functions.json_get_int_choices(int_param=1) == [
["int_param"],
["1"],
]
def test_get_invalid_int_choice(json_service, tmpdir):
generated_functions = loader.load(
tmpdir,
{
"json": {
"open_api": {"definition": "http://localhost:8954/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
assert (
generated_functions.json_get_int_choices(int_param=2)
== 'int_param value "2" should be 1 or 10 or 100.'
)
| 38.725106 | 1,118 | 0.417434 | 22,727 | 302,172 | 5.222159 | 0.01034 | 0.10945 | 0.086701 | 0.035051 | 0.977099 | 0.968631 | 0.957922 | 0.950954 | 0.944458 | 0.942553 | 0 | 0.020989 | 0.477172 | 302,172 | 7,802 | 1,119 | 38.730069 | 0.730251 | 0.00005 | 0 | 0.737226 | 0 | 0.001081 | 0.190376 | 0.009502 | 0 | 0 | 0 | 0 | 0.019465 | 1 | 0.017843 | false | 0.032306 | 0.000676 | 0 | 0.018519 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
283c57275c4860cf603e91f4f15eb31d19fa659b | 904 | py | Python | coinmetrics/bitsql/omni/aggregator.py | adidonato/blockchain-python-tools | eb44653a4fd5c21046c20592da08137bec4622a1 | [
"MIT"
] | null | null | null | coinmetrics/bitsql/omni/aggregator.py | adidonato/blockchain-python-tools | eb44653a4fd5c21046c20592da08137bec4622a1 | [
"MIT"
] | null | null | null | coinmetrics/bitsql/omni/aggregator.py | adidonato/blockchain-python-tools | eb44653a4fd5c21046c20592da08137bec4622a1 | [
"MIT"
] | null | null | null | from coinmetrics.bitsql.aggregator import *
class OmniManagedPropertyAggregator(DailyAggregator):
def createDailyStatistics(self):
self.addStatistic(DailyTxCountStatistic(self.dbAccess, self.query))
self.addStatistic(DailyTxVolumeStatistic(self.dbAccess, self.query))
self.addStatistic(DailyMedianTransactionValueStatistic(self.dbAccess, self.query))
self.addStatistic(DailyActiveAddressesStatistic(self.dbAccess, self.query))
self.addStatistic(DailyRewardStatistic(self.dbAccess, self.query))
class OmniCrowdsalePropertyAggregator(DailyAggregator):
def createDailyStatistics(self):
self.addStatistic(DailyTxCountStatistic(self.dbAccess, self.query))
self.addStatistic(DailyTxVolumeStatistic(self.dbAccess, self.query))
self.addStatistic(DailyMedianTransactionValueStatistic(self.dbAccess, self.query))
self.addStatistic(DailyActiveAddressesStatistic(self.dbAccess, self.query)) | 47.578947 | 84 | 0.84292 | 80 | 904 | 9.525 | 0.25 | 0.188976 | 0.188976 | 0.248032 | 0.805774 | 0.805774 | 0.784777 | 0.784777 | 0.784777 | 0.784777 | 0 | 0 | 0.060841 | 904 | 19 | 85 | 47.578947 | 0.897527 | 0 | 0 | 0.714286 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.142857 | false | 0 | 0.071429 | 0 | 0.357143 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 |
284537bf3d7408ce7d6bd60d5742132abf64c2bf | 1,494 | py | Python | lib/systems/adamantane.py | pulsar-chem/BPModule | f8e64e04fdb01947708f098e833600c459c2ff0e | [
"BSD-3-Clause"
] | null | null | null | lib/systems/adamantane.py | pulsar-chem/BPModule | f8e64e04fdb01947708f098e833600c459c2ff0e | [
"BSD-3-Clause"
] | null | null | null | lib/systems/adamantane.py | pulsar-chem/BPModule | f8e64e04fdb01947708f098e833600c459c2ff0e | [
"BSD-3-Clause"
] | null | null | null | import pulsar as psr
def load_ref_system():
""" Returns adamantane as found in the IQMol fragment library.
All credit to https://github.com/nutjunkie/IQmol
"""
return psr.make_system("""
C 0.8821211 0.8821211 -0.8821211
C 1.7719176 0.0000000 -0.0000000
C 0.8821211 -0.8821211 0.8821211
H 2.4342233 -0.6124122 -0.6124122
H 2.4342233 0.6124122 0.6124122
C 0.0000000 -0.0000000 1.7719176
C -0.8821211 0.8821211 0.8821211
H -0.6124122 -0.6124122 2.4342233
H 0.6124122 0.6124122 2.4342233
C -0.0000000 1.7719176 0.0000000
H -0.6124122 2.4342233 -0.6124122
H 0.6124122 2.4342233 0.6124122
C -0.0000000 0.0000000 -1.7719176
H 1.5107802 1.5107802 -1.5107802
C 0.0000000 -1.7719176 -0.0000000
H 1.5107802 -1.5107802 1.5107802
C -0.8821211 -0.8821211 -0.8821211
H 0.6124122 -2.4342233 -0.6124122
H -0.6124122 -2.4342233 0.6124122
H -1.5107802 -1.5107802 -1.5107802
C -1.7719176 -0.0000000 0.0000000
H -0.6124122 0.6124122 -2.4342233
H 0.6124122 -0.6124122 -2.4342233
H -2.4342233 0.6124122 -0.6124122
H -1.5107802 1.5107802 1.5107802
H -2.4342233 -0.6124122 0.6124122
""")
| 43.941176 | 66 | 0.53079 | 211 | 1,494 | 3.744076 | 0.170616 | 0.243038 | 0.091139 | 0.162025 | 0.822785 | 0.822785 | 0.822785 | 0.677215 | 0.529114 | 0.316456 | 0 | 0.66738 | 0.374163 | 1,494 | 33 | 67 | 45.272727 | 0.17754 | 0.07162 | 0 | 0 | 0 | 0 | 0.938552 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.033333 | true | 0 | 0.033333 | 0 | 0.1 | 0 | 0 | 0 | 0 | null | 1 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 9 |
95602622777fc0e08a29923d9e87a0497a19cc1a | 4,558 | py | Python | alembic/versions/4430bb0ac79d_add_modaction_model.py | notconfusing/CivilServant | f9c7a2cf4de4f6506e37b7c33a7e512b893069c3 | [
"MIT"
] | 17 | 2017-03-13T15:14:57.000Z | 2020-01-07T19:12:49.000Z | alembic/versions/4430bb0ac79d_add_modaction_model.py | notconfusing/CivilServant | f9c7a2cf4de4f6506e37b7c33a7e512b893069c3 | [
"MIT"
] | 32 | 2016-06-08T03:35:43.000Z | 2016-11-30T18:50:49.000Z | alembic/versions/4430bb0ac79d_add_modaction_model.py | notconfusing/CivilServant | f9c7a2cf4de4f6506e37b7c33a7e512b893069c3 | [
"MIT"
] | 4 | 2018-07-11T23:36:28.000Z | 2019-11-16T19:32:33.000Z | """Add ModAction model
Revision ID: 4430bb0ac79d
Revises: 2e09867c0c38
Create Date: 2016-07-03 11:05:53.359444
"""
# revision identifiers, used by Alembic.
revision = '4430bb0ac79d'
down_revision = '2e09867c0c38'
branch_labels = None
depends_on = None
from alembic import op
import sqlalchemy as sa
from sqlalchemy.dialects import mysql
def upgrade(engine_name):
globals()["upgrade_%s" % engine_name]()
def downgrade(engine_name):
globals()["downgrade_%s" % engine_name]()
def upgrade_development():
### commands auto generated by Alembic - please adjust! ###
op.create_table('mod_actions',
sa.Column('id', sa.String(length=256), autoincrement=False, nullable=False),
sa.Column('created_at', sa.DateTime(), nullable=True),
sa.Column('created_utc', sa.DateTime(), nullable=True),
sa.Column('subreddit_id', sa.String(length=32), nullable=True),
sa.Column('mod', sa.String(length=64), nullable=True),
sa.Column('target_author', sa.String(length=64), nullable=True),
sa.Column('action', sa.String(length=256), nullable=True),
sa.Column('target_fullname', sa.String(length=256), nullable=True),
sa.Column('action_data', mysql.MEDIUMTEXT(), nullable=True),
sa.PrimaryKeyConstraint('id'),
sa.UniqueConstraint('id')
)
op.create_index(op.f('ix_mod_actions_subreddit_id'), 'mod_actions', ['subreddit_id'], unique=False)
op.create_index(op.f('ix_mod_actions_target_author'), 'mod_actions', ['target_author'], unique=False)
### end Alembic commands ###
def downgrade_development():
### commands auto generated by Alembic - please adjust! ###
op.drop_index(op.f('ix_mod_actions_target_author'), table_name='mod_actions')
op.drop_index(op.f('ix_mod_actions_subreddit_id'), table_name='mod_actions')
op.drop_table('mod_actions')
### end Alembic commands ###
def upgrade_test():
### commands auto generated by Alembic - please adjust! ###
op.create_table('mod_actions',
sa.Column('id', sa.String(length=256), autoincrement=False, nullable=False),
sa.Column('created_at', sa.DateTime(), nullable=True),
sa.Column('created_utc', sa.DateTime(), nullable=True),
sa.Column('subreddit_id', sa.String(length=32), nullable=True),
sa.Column('mod', sa.String(length=64), nullable=True),
sa.Column('target_author', sa.String(length=64), nullable=True),
sa.Column('action', sa.String(length=256), nullable=True),
sa.Column('target_fullname', sa.String(length=256), nullable=True),
sa.Column('action_data', mysql.MEDIUMTEXT(), nullable=True),
sa.PrimaryKeyConstraint('id'),
sa.UniqueConstraint('id')
)
op.create_index(op.f('ix_mod_actions_subreddit_id'), 'mod_actions', ['subreddit_id'], unique=False)
op.create_index(op.f('ix_mod_actions_target_author'), 'mod_actions', ['target_author'], unique=False)
### end Alembic commands ###
def downgrade_test():
### commands auto generated by Alembic - please adjust! ###
op.drop_index(op.f('ix_mod_actions_target_author'), table_name='mod_actions')
op.drop_index(op.f('ix_mod_actions_subreddit_id'), table_name='mod_actions')
op.drop_table('mod_actions')
### end Alembic commands ###
def upgrade_production():
### commands auto generated by Alembic - please adjust! ###
op.create_table('mod_actions',
sa.Column('id', sa.String(length=256), autoincrement=False, nullable=False),
sa.Column('created_at', sa.DateTime(), nullable=True),
sa.Column('created_utc', sa.DateTime(), nullable=True),
sa.Column('subreddit_id', sa.String(length=32), nullable=True),
sa.Column('mod', sa.String(length=64), nullable=True),
sa.Column('target_author', sa.String(length=64), nullable=True),
sa.Column('action', sa.String(length=256), nullable=True),
sa.Column('target_fullname', sa.String(length=256), nullable=True),
sa.Column('action_data', mysql.MEDIUMTEXT(), nullable=True),
sa.PrimaryKeyConstraint('id'),
sa.UniqueConstraint('id')
)
op.create_index(op.f('ix_mod_actions_subreddit_id'), 'mod_actions', ['subreddit_id'], unique=False)
op.create_index(op.f('ix_mod_actions_target_author'), 'mod_actions', ['target_author'], unique=False)
### end Alembic commands ###
def downgrade_production():
### commands auto generated by Alembic - please adjust! ###
op.drop_index(op.f('ix_mod_actions_target_author'), table_name='mod_actions')
op.drop_index(op.f('ix_mod_actions_subreddit_id'), table_name='mod_actions')
op.drop_table('mod_actions')
### end Alembic commands ###
| 41.816514 | 105 | 0.708425 | 619 | 4,558 | 5.008078 | 0.132472 | 0.096774 | 0.108387 | 0.135484 | 0.880968 | 0.880968 | 0.880968 | 0.880968 | 0.880968 | 0.864839 | 0 | 0.02439 | 0.127468 | 4,558 | 108 | 106 | 42.203704 | 0.755092 | 0.130979 | 0 | 0.71831 | 0 | 0 | 0.234536 | 0.085052 | 0 | 0 | 0 | 0 | 0 | 1 | 0.112676 | false | 0 | 0.042254 | 0 | 0.15493 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
95797f75ab545e9b787c0f49b234a1aa5795024d | 171 | py | Python | b2ac/fit/__init__.py | hbldh/ellipse-fitting | 77a13ab29ae44b32238e754bff1d2cc6e20883dd | [
"MIT"
] | 16 | 2016-02-16T18:55:18.000Z | 2021-12-15T20:07:45.000Z | b2ac/fit/__init__.py | hbldh/ellipse-fitting | 77a13ab29ae44b32238e754bff1d2cc6e20883dd | [
"MIT"
] | 6 | 2015-10-18T22:28:20.000Z | 2016-05-17T22:07:38.000Z | b2ac/fit/__init__.py | hbldh/ellipse-fitting | 77a13ab29ae44b32238e754bff1d2cc6e20883dd | [
"MIT"
] | 7 | 2016-05-15T16:21:19.000Z | 2021-09-09T11:12:39.000Z | from .unstable import fit_unstable_B2AC
from .double import fit_improved_B2AC_double
from .reference import fit_improved_B2AC_numpy
from .int import fit_improved_B2AC_int
| 34.2 | 46 | 0.883041 | 27 | 171 | 5.185185 | 0.37037 | 0.257143 | 0.364286 | 0.45 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.025806 | 0.093567 | 171 | 4 | 47 | 42.75 | 0.877419 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 8 |
95b668856910306ef8e1cfb00d271e3e5a8479c8 | 669 | py | Python | garden_calendar_time/tests/test___init__.py | gossrock/garden_calendar_time | 1cabcbd3bd20614a2adb1110ac994b04a7f666c9 | [
"MIT"
] | null | null | null | garden_calendar_time/tests/test___init__.py | gossrock/garden_calendar_time | 1cabcbd3bd20614a2adb1110ac994b04a7f666c9 | [
"MIT"
] | null | null | null | garden_calendar_time/tests/test___init__.py | gossrock/garden_calendar_time | 1cabcbd3bd20614a2adb1110ac994b04a7f666c9 | [
"MIT"
] | null | null | null | import garden_calendar_time
def test_LatLong_smoketest():
LatLong = garden_calendar_time.LatLong
loc = LatLong(45, 45)
assert loc.lat == 45
assert loc.long == 45
loc = LatLong(-45, -45)
assert loc.lat == -45
assert loc.long == -45
loc = LatLong(135, 135)
assert loc.lat == 45
assert loc.long == 135
loc = LatLong(-135, -135)
assert loc.lat == -45
assert loc.long == -135
loc = LatLong(90, 180)
assert loc.lat == 90
assert loc.long == 180
loc = LatLong(-90, -180)
assert loc.lat == -90
assert loc.long == 180
loc = LatLong(180, 360)
assert loc.lat == 0
assert loc.long == 0
| 20.272727 | 42 | 0.591928 | 97 | 669 | 4.020619 | 0.185567 | 0.323077 | 0.215385 | 0.14359 | 0.712821 | 0.712821 | 0.712821 | 0.712821 | 0.712821 | 0.712821 | 0 | 0.136929 | 0.279522 | 669 | 32 | 43 | 20.90625 | 0.672199 | 0 | 0 | 0.25 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.583333 | 1 | 0.041667 | false | 0 | 0.041667 | 0 | 0.083333 | 0 | 0 | 0 | 0 | null | 1 | 1 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
95e72e24d5c71bf4b6ca1d4db531c28920afdeda | 437 | py | Python | FileIO/wallart.py | MooersLab/jupyterlabpymolpysnipsplus | b886750d63372434df53d4d6d7cdad6cb02ae4e7 | [
"MIT"
] | null | null | null | FileIO/wallart.py | MooersLab/jupyterlabpymolpysnipsplus | b886750d63372434df53d4d6d7cdad6cb02ae4e7 | [
"MIT"
] | null | null | null | FileIO/wallart.py | MooersLab/jupyterlabpymolpysnipsplus | b886750d63372434df53d4d6d7cdad6cb02ae4e7 | [
"MIT"
] | null | null | null | # Description: Reset hash_max from 100 to 2000 to enable the saving of 28" by 28".
# Source: placeHolder
"""
cmd.do('# Reset hash_max from 100 to 2000 to enable the saving of images of large size for office wall hangings, eg. 30 x 30 inches. ')
cmd.do('hash_max=2000')
"""
cmd.do('# Reset hash_max from 100 to 2000 to enable the saving of images of large size for office wall hangings, eg. 30 x 30 inches. ')
cmd.do('hash_max=2000')
| 39.727273 | 135 | 0.720824 | 82 | 437 | 3.780488 | 0.353659 | 0.112903 | 0.116129 | 0.154839 | 0.890323 | 0.890323 | 0.890323 | 0.890323 | 0.890323 | 0.890323 | 0 | 0.114525 | 0.180778 | 437 | 10 | 136 | 43.7 | 0.751397 | 0.601831 | 0 | 0 | 0 | 0.5 | 0.836364 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 9 |
255a40ea06a595e2df05c2951c485c5b3b81a615 | 204 | py | Python | src/boost_histogram/utils.py | kgizdov/boost-histogram | a456b89c703a2e69b32ca7de23448a133d5c59a3 | [
"BSD-3-Clause"
] | null | null | null | src/boost_histogram/utils.py | kgizdov/boost-histogram | a456b89c703a2e69b32ca7de23448a133d5c59a3 | [
"BSD-3-Clause"
] | null | null | null | src/boost_histogram/utils.py | kgizdov/boost-histogram | a456b89c703a2e69b32ca7de23448a133d5c59a3 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
from __future__ import absolute_import, division, print_function
from ._internal.utils import set_family
del absolute_import, division, print_function
__all__ = ("set_family",)
| 22.666667 | 64 | 0.77451 | 26 | 204 | 5.5 | 0.615385 | 0.195804 | 0.307692 | 0.377622 | 0.48951 | 0 | 0 | 0 | 0 | 0 | 0 | 0.005587 | 0.122549 | 204 | 8 | 65 | 25.5 | 0.793296 | 0.102941 | 0 | 0 | 0 | 0 | 0.055249 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.75 | 0 | 0.75 | 0.5 | 1 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 7 |
25620c3faf62fb408cae3d8f92aa08e97b6eaad5 | 4,185 | py | Python | tests/unit/anchore_engine/services/analyzer/test_analysis.py | rbrady/anchore-engine | 5a5c492d76b5f911e60be422912fe8d42a74872b | [
"Apache-2.0"
] | 1,484 | 2017-09-11T19:08:42.000Z | 2022-03-29T07:47:44.000Z | tests/unit/anchore_engine/services/analyzer/test_analysis.py | rbrady/anchore-engine | 5a5c492d76b5f911e60be422912fe8d42a74872b | [
"Apache-2.0"
] | 913 | 2017-09-27T20:37:53.000Z | 2022-03-29T17:21:28.000Z | tests/unit/anchore_engine/services/analyzer/test_analysis.py | rbrady/anchore-engine | 5a5c492d76b5f911e60be422912fe8d42a74872b | [
"Apache-2.0"
] | 294 | 2017-09-12T16:54:03.000Z | 2022-03-14T01:28:51.000Z | import pytest
from anchore_engine.services.analyzer.analysis import is_analysis_message
message_matrix = [
(
{
"imageDigest": "sha256:1861023544345fc0a4b2223f2bcbb0e903ff2c1f29c09141250baf7f81333b49",
"manifest": '{"schemaVersion": 2, "mediaType": "application/vnd.docker.distribution.manifest.v2+json", "config": {"mediaType": "application/vnd.docker.container.image.v1+json", "size": 1472, "digest": "sha256:5c534be56eca62e756ef2ef51523feda0f19cd7c15bb0c015e3d6e3ae090bf6e"}, "layers": [{"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", "size": 2814864, "digest": "sha256:0a6724ff3fcd51338afdfdc2b1d4ffd04569818e31efad957213d67c29b45101"}]}',
"parent_manifest": None,
"userId": "admin",
},
True,
),
(
{
"imageDigest": "sha256:1861023544345fc0a4b2223f2bcbb0e903ff2c1f29c09141250baf7f81333b49",
"manifest": '{"schemaVersion": 2, "mediaType": "application/vnd.docker.distribution.manifest.v2+json", "config": {"mediaType": "application/vnd.docker.container.image.v1+json", "size": 1472, "digest": "sha256:5c534be56eca62e756ef2ef51523feda0f19cd7c15bb0c015e3d6e3ae090bf6e"}, "layers": [{"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", "size": 2814864, "digest": "sha256:0a6724ff3fcd51338afdfdc2b1d4ffd04569818e31efad957213d67c29b45101"}]}',
"parent_manifest": "",
"userId": "admin",
},
True,
),
(
{
"imageDigest": "sha256:1861023544345fc0a4b2223f2bcbb0e903ff2c1f29c09141250baf7f81333b49",
"manifest": '{"schemaVersion": 2, "mediaType": "application/vnd.docker.distribution.manifest.v2+json", "config": {"mediaType": "application/vnd.docker.container.image.v1+json", "size": 1472, "digest": "sha256:5c534be56eca62e756ef2ef51523feda0f19cd7c15bb0c015e3d6e3ae090bf6e"}, "layers": [{"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", "size": 2814864, "digest": "sha256:0a6724ff3fcd51338afdfdc2b1d4ffd04569818e31efad957213d67c29b45101"}]}',
"parent_manifest": '{"schemaVersion": 2, "mediaType": "application/vnd.docker.distribution.manifest.v2+json", "config": {"mediaType": "application/vnd.docker.container.image.v1+json", "size": 1472, "digest": "sha256:5c534be56eca62e756ef2ef51523feda0f19cd7c15bb0c015e3d6e3ae090bf6e"}, "layers": [{"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", "size": 2814864, "digest": "sha256:0a6724ff3fcd51338afdfdc2b1d4ffd04569818e31efad957213d67c29b45101"}]}',
"userId": "admin",
},
True,
),
(
{
"imageDigest": "sha256:1861023544345fc0a4b2223f2bcbb0e903ff2c1f29c09141250baf7f81333b49",
"manifest": None,
"parent_manifest": '{"schemaVersion": 2, "mediaType": "application/vnd.docker.distribution.manifest.v2+json", "config": {"mediaType": "application/vnd.docker.container.image.v1+json", "size": 1472, "digest": "sha256:5c534be56eca62e756ef2ef51523feda0f19cd7c15bb0c015e3d6e3ae090bf6e"}, "layers": [{"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", "size": 2814864, "digest": "sha256:0a6724ff3fcd51338afdfdc2b1d4ffd04569818e31efad957213d67c29b45101"}]}',
"userId": "admin",
},
False,
),
(
{
"userId": "account1",
"imageDigest": "sha256:abc",
"manifest": None,
"parent_manifest": None,
},
False,
),
(
{
"userId": None,
"imageDigest": "sha256:abc",
"manifest": None,
"parent_manifest": None,
},
False,
),
(
{
"userId": "admin",
"imageDigest": None,
"manifest": None,
"parent_manifest": None,
},
False,
),
(
{
"userId": "admin",
"imageDigest": "sha256:abc123",
},
False,
),
]
@pytest.mark.parametrize(("message", "is_analysis"), message_matrix)
def test_is_import_message(message: dict, is_analysis: bool):
assert is_analysis_message(message) == is_analysis
| 51.036585 | 479 | 0.650418 | 310 | 4,185 | 8.716129 | 0.177419 | 0.111029 | 0.127683 | 0.160992 | 0.896743 | 0.896743 | 0.896743 | 0.862324 | 0.862324 | 0.835307 | 0 | 0.198569 | 0.198566 | 4,185 | 81 | 480 | 51.666667 | 0.607036 | 0 | 0 | 0.532468 | 0 | 0.064935 | 0.691756 | 0.434648 | 0 | 0 | 0 | 0 | 0.012987 | 1 | 0.012987 | false | 0 | 0.038961 | 0 | 0.051948 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 |
6c23d918d5d273ceeddc68617ea83d50b22a0471 | 117 | py | Python | CursoemVideo - Python 3/aula 15/centralizartextos.py | GustavoVieiraa/CursoemVideo---Python-3 | eca8eeaa9ca65faec6bb4d3ede3a571a63f2179b | [
"MIT"
] | 1 | 2022-01-31T04:07:43.000Z | 2022-01-31T04:07:43.000Z | CursoemVideo - Python 3/aula 15/centralizartextos.py | GustavoVieiraa/CursoemVideo---Python-3 | eca8eeaa9ca65faec6bb4d3ede3a571a63f2179b | [
"MIT"
] | null | null | null | CursoemVideo - Python 3/aula 15/centralizartextos.py | GustavoVieiraa/CursoemVideo---Python-3 | eca8eeaa9ca65faec6bb4d3ede3a571a63f2179b | [
"MIT"
] | null | null | null | titulo = 'MASTER'
print(f'{titulo:^50}')
print(f'{titulo:=^50}')
print(f'{titulo:=>50}')
print(f'{titulo:=<50}')
| 11.7 | 23 | 0.581197 | 18 | 117 | 3.777778 | 0.277778 | 0.352941 | 0.705882 | 0.823529 | 0.823529 | 0.823529 | 0.823529 | 0.823529 | 0.823529 | 0.823529 | 0 | 0.075472 | 0.094017 | 117 | 9 | 24 | 13 | 0.566038 | 0 | 0 | 0 | 0 | 0 | 0.491379 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.8 | 1 | 0 | 0 | null | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 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 | 12 |
6c2766ad33e6b24111a1ddc121370b8814be3446 | 3,319 | py | Python | weibo/test/testUserDetail.py | haiboz/weiboSpider | 517cae2ef3e7bccd9e1d328a40965406707f5362 | [
"Apache-2.0"
] | null | null | null | weibo/test/testUserDetail.py | haiboz/weiboSpider | 517cae2ef3e7bccd9e1d328a40965406707f5362 | [
"Apache-2.0"
] | null | null | null | weibo/test/testUserDetail.py | haiboz/weiboSpider | 517cae2ef3e7bccd9e1d328a40965406707f5362 | [
"Apache-2.0"
] | null | null | null | #encoding:utf8
'''
Created on 2016年4月13日
@author: wb-zhaohaibo
'''
import re
detail_cont = open("detail.html").read().decode('utf8')
#<span class=\"pt_title S_txt2\">昵称：<\/span><span class=\"pt_detail\">再见oo时光<\/span><\/li>
#[\u4e00-\u9fa5]*[\w]*
patten = re.compile(ur'<span class=\\"pt_title S_txt2\\">昵称：<\\/span><span class=\\"pt_detail\\">([\u4e00-\u9fa5\w_]+)<\\/span>')
b = patten.findall(detail_cont)
print b[0]
#<span class=\"pt_title S_txt2\">所在地：<\/span><span class=\"pt_detail\">青海 西宁<\/span>
patten2 = re.compile(ur'<span class=\\"pt_title S_txt2\\">所在地：<\\/span><span class=\\"pt_detail\\">([\u4e00-\u9fa5\w\s_]+)<\\/span>')
b2 = patten2.findall(detail_cont)
print b2[0]
#<span class=\"pt_title S_txt2\">性别：<\/span><span class=\"pt_detail\">男<\/span>
#<span class=\"pt_title S_txt2\">性别：<\/span><span class=\"pt_detail\">男<\/span>
patten3 = re.compile(ur'<span class=\\"pt_title S_txt2\\">性别：<\\/span><span class=\\"pt_detail\\">([\u4e00-\u9fa5]{1})<\\/span>')
b3 = patten3.findall(detail_cont)
print b3[0]
#<span class=\"pt_title S_txt2\">性取向：<\/span>\r\n\t\t\t\t\t\t\t\t<span class=\"pt_detail\">\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t异性恋\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>
# patten4 = re.compile(ur'<span class=\\"pt_title S_txt2\\">性取向：<\\/span>\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t<span class=\\"pt_detail\\">\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t([\u4e00-\u9fa5]+)\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t<\\/span>')
patten4 = re.compile(ur'<span class=\\"pt_title S_txt2\\">性取向：<\\/span>[\\r]*[\\n]*[\\t]*<span class=\\"pt_detail\\">[\\r]*[\\n]*[\\t]*([\u4e00-\u9fa5]+)[\\r]*[\\n]*[\\t]*<\\/span>')
b4 = patten4.findall(detail_cont)
print b4[0]
#<span class=\"pt_title S_txt2\">感情状况：<\/span>\r\n\t\t\t\t\t\t\t\t\t<span class=\"pt_detail\">\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t单身\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>
patten5 = re.compile(ur'<span class=\\"pt_title S_txt2\\">感情状况：<\\/span>[\\r]*[\\n]*[\\t]*<span class=\\"pt_detail\\">[\\r]*[\\n]*[\\t]*([\u4e00-\u9fa5]+)[\\r]*[\\n]*[\\t]*<\\/span>')
b5 = patten5.findall(detail_cont)
print b5[0]
#<span class=\"pt_title S_txt2\">生日：<\/span><span class=\"pt_detail\">1993年4月8日<\/span>
patten6 = re.compile(ur'<span class=\\"pt_title S_txt2\\">生日：<\\/span><span class=\\"pt_detail\\">([\u4e00-\u9fa5\d]+)<\\/span>')
b6 = patten6.findall(detail_cont)
print b6[0]
#<span class=\"pt_title S_txt2\">血型：<\/span><span class=\"pt_detail\">A<\/span>
patten7 = re.compile(ur'<span class=\\"pt_title S_txt2\\">血型：<\\/span><span class=\\"pt_detail\\">([a-zA-Z]+)<\\/span>')
b7 = patten7.findall(detail_cont)
print b7[0]
#<span class=\"pt_title S_txt2\">注册时间：<\/span>\r\n\t\t\t\t\t\t\t\t\t<span class=\"pt_detail\">\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t2015-09-25\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>
patten8 = re.compile(ur'<span class=\\"pt_title S_txt2\\">注册时间：<\\/span>[\\r]*[\\n]*[\\t]*<span class=\\"pt_detail\\">[\\r]*[\\n]*[\\t]*([-\d]+)[\\r]*[\\n]*[\\t]*<\\/span>')
b8 = patten8.findall(detail_cont)
print b8[0]
#
patten9 = re.compile(ur'<span class=\\"pt_title S_txt2\\">注册时间：<\\/span>[\\r]*[\\n]*[\\t]*<span class=\\"pt_detail\\">[\\r]*[\\n]*[\\t]*([-\d]+)[\\r]*[\\n]*[\\t]*<\\/span>')
b9 = patten9.findall(detail_cont)
print b9[0]
| 66.38 | 275 | 0.583308 | 649 | 3,319 | 2.876733 | 0.115562 | 0.179968 | 0.25067 | 0.308516 | 0.708088 | 0.708088 | 0.708088 | 0.693626 | 0.681843 | 0.646492 | 0 | 0.040206 | 0.063272 | 3,319 | 49 | 276 | 67.734694 | 0.560309 | 0.407352 | 0 | 0 | 0 | 0.310345 | 0.611771 | 0.482181 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.034483 | null | null | 0.310345 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 |
dd9c40cc0d383258acf6d5a8b6b51483f806636b | 17,221 | py | Python | tests/statistics/test_fdr.py | palmercd/epic | 33ca5290490596864260410b20a625e99139cdb1 | [
"MIT"
] | 26 | 2017-02-09T04:13:19.000Z | 2021-05-07T11:53:14.000Z | tests/statistics/test_fdr.py | palmercd/epic | 33ca5290490596864260410b20a625e99139cdb1 | [
"MIT"
] | 50 | 2017-03-15T10:42:24.000Z | 2021-05-07T11:59:05.000Z | tests/statistics/test_fdr.py | palmercd/epic | 33ca5290490596864260410b20a625e99139cdb1 | [
"MIT"
] | 5 | 2017-04-22T07:26:37.000Z | 2018-04-11T16:57:05.000Z | import pytest
from io import StringIO
import pandas as pd
from numpy import allclose, array_equal, int32
from epic.windows.count.count_reads_in_windows import count_reads_in_windows, _count_reads_in_windows_paired_end
@pytest.mark.integration
def test_fdr(expected_result, args_200_fast):
# total_chip_reads 9904
# total_input_reads 9290
pass
@pytest.fixture
def expected_result():
contents = """Chromosome Start End ChIP Input Score P_value FDR_value
chr1 23568400 23568599 2 0.0 13.498144796491546
chr1 26401200 26401399 2 0.0 13.498144796491546
chr1 33054800 33055399 2 0.0 14.105738643033899
chr1 33365200 33365399 2 0.0 13.498144796491546
chr1 39422200 39422799 2 0.0 14.105738643033899
chr1 51473600 51474399 2 0.0 14.105738643033899
chr1 58785200 58786199 2 0.0 14.105738643033899
chr1 59430000 59430199 2 0.0 13.498144796491546
chr1 65065600 65066199 2 0.0 14.105738643033899
chr1 91625400 91625799 2 0.0 14.105738643033899
chr1 100589600 100589799 2 0.0 13.498144796491546
chr1 103840400 103841199 2 0.0 14.105738643033899
chr1 113416400 113416799 2 0.0 14.105738643033899
chr1 113486600 113487199 2 0.0 14.105738643033899
chr1 115014800 115014999 2 0.0 13.498144796491546
chr1 144181400 144181999 2 0.0 14.105738643033899
chr1 171053400 171054599 3 0.0 21.158607964550846
chr1 181707400 181707999 2 0.0 14.105738643033899
chr1 203357400 203357799 2 0.0 14.105738643033899
chr1 210178400 210178999 2 0.0 14.105738643033899
chr1 210471400 210471599 2 0.0 13.498144796491546
chr1 219659800 219660199 2 0.0 14.105738643033899
chr1 220704400 220705199 2 0.0 14.105738643033899
chr2 32400 33399 2 0.0 14.105738643033899
chr2 15618800 15619599 2 0.0 14.105738643033899
chr2 39208000 39208799 2 0.0 14.105738643033899
chr2 48521000 48521199 2 0.0 13.498144796491546
chr2 61986000 61986599 2 0.0 14.105738643033899
chr2 73314400 73315199 2 0.0 14.105738643033899
chr2 101681600 101682399 2 0.0 14.105738643033899
chr2 136216000 136216799 2 0.0 14.105738643033899
chr2 175474200 175474599 2 0.0 14.105738643033899
chr2 181811200 181811799 2 0.0 14.105738643033899
chr2 201039600 201040199 2 0.0 14.105738643033899
chr2 202215400 202215799 2 0.0 14.105738643033899
chr2 207865600 207866599 2 0.0 14.105738643033899
chr2 224033800 224034799 2 0.0 14.105738643033899
chr3 85593400 85594199 2 0.0 14.105738643033899
chr3 88280800 88281399 2 0.0 14.105738643033899
chr3 116714000 116714599 2 0.0 14.105738643033899
chr3 130362000 130362799 2 0.0 14.105738643033899
chr3 139795400 139796199 2 0.0 14.105738643033899
chr3 161112200 161112999 2 0.0 14.105738643033899
chr3 187144000 187144199 2 0.0 13.498144796491546
chr3 195381600 195382599 2 0.0 14.105738643033899
chr3 197835600 197835999 2 0.0 14.105738643033899
chr4 4342200 4342799 2 0.0 14.105738643033899
chr4 20235600 20236399 2 0.0 14.105738643033899
chr4 37984000 37984799 2 0.0 14.105738643033899
chr4 47534200 47534599 2 0.0 14.105738643033899
chr4 78769800 78770599 2 0.0 14.105738643033899
chr4 82095400 82095599 2 0.0 13.498144796491546
chr4 122316200 122316999 2 0.0 14.105738643033899
chr4 148758400 148758599 2 0.0 13.498144796491546
chr4 150551800 150552599 2 0.0 14.105738643033899
chr4 177477400 177477799 2 0.0 14.105738643033899
chr5 25080600 25081599 2 0.0 14.105738643033899
chr5 122802800 122803799 2 0.0 14.105738643033899
chr5 129214000 129214599 2 0.0 14.105738643033899
chr5 131383800 131383999 2 0.0 13.498144796491546
chr5 149809600 149809799 2 0.0 13.498144796491546
chr5 153445000 153445799 2 0.0 14.105738643033899
chr5 158534800 158534999 2 0.0 13.498144796491546
chr6 8145600 8146199 2 0.0 14.105738643033899
chr6 13436000 13436599 2 0.0 14.105738643033899
chr6 14965600 14965799 2 0.0 13.498144796491546
chr6 28180800 28181199 2 0.0 14.105738643033899
chr6 40716200 40716799 2 0.0 14.105738643033899
chr6 58887000 58887199 2 0.0 13.498144796491546
chr6 83528200 83528999 2 0.0 14.105738643033899
chr6 84993400 84994399 2 0.0 14.105738643033899
chr6 87841600 87842599 2 0.0 14.105738643033899
chr6 88523200 88523599 2 0.0 14.105738643033899
chr6 109943000 109943799 2 0.0 14.105738643033899
chr6 127877800 127878199 2 0.0 14.105738643033899
chr6 135900600 135900999 2 0.0 14.105738643033899
chr7 2360400 2360799 2 0.0 14.105738643033899
chr7 3069200 3069599 2 0.0 14.105738643033899
chr7 18196600 18197599 2 0.0 14.105738643033899
chr7 21904400 21905199 2 0.0 14.105738643033899
chr7 25267200 25267999 2 0.0 14.105738643033899
chr7 44197400 44198199 2 0.0 14.105738643033899
chr7 44263800 44264399 2 0.0 14.105738643033899
chr7 61606400 61606799 3 2.0 20.551014118008496
chr7 88799600 88799999 2 0.0 14.105738643033899
chr7 89812600 89812799 2 0.0 13.498144796491546
chr7 91995000 91995399 2 0.0 14.105738643033899
chr7 93845800 93845999 2 0.0 13.498144796491546
chr7 134483600 134483999 2 0.0 14.105738643033899
chr7 148268000 148268999 2 0.0 14.105738643033899
chr8 38686400 38687399 2 0.0 14.105738643033899
chr8 53868200 53868999 2 0.0 14.105738643033899
chr8 70537400 70537999 2 0.0 14.105738643033899
chr8 82435600 82436399 2 0.0 14.105738643033899
chr8 95555000 95555999 2 0.0 14.105738643033899
chr8 100094400 100094599 2 0.0 13.498144796491546
chr8 101227400 101227599 2 0.0 13.498144796491546
chr8 125556600 125556799 2 0.0 13.498144796491546
chr9 26937600 26937799 2 0.0 13.498144796491546
chr9 38268800 38268999 2 0.0 13.498144796491546
chr9 97678000 97678399 2 0.0 14.105738643033899
chr9 100604000 100604399 2 0.0 14.105738643033899
chr9 129517800 129517999 2 0.0 13.498144796491546
chr10 10498200 10498599 2 0.0 14.105738643033899
chr10 48098200 48098799 2 0.0 14.105738643033899
chr10 63417600 63417999 2 0.0 14.105738643033899
chr10 98847000 98847399 2 0.0 14.105738643033899
chr10 131154400 131154799 2 0.0 14.105738643033899
chr11 16716400 16716999 2 0.0 14.105738643033899
chr11 22604000 22604399 2 0.0 14.105738643033899
chr11 31487600 31488599 2 0.0 14.105738643033899
chr11 34336800 34337399 2 0.0 14.105738643033899
chr11 44015000 44015399 2 0.0 14.105738643033899
chr11 117422000 117422399 2 0.0 14.105738643033899
chr12 9384600 9385599 2 0.0 14.105738643033899
chr12 12115600 12116599 2 0.0 14.105738643033899
chr12 24857800 24858399 2 0.0 14.105738643033899
chr12 44406000 44406999 4 0.0 27.603883439525447
chr12 55551600 55551999 2 0.0 14.105738643033899
chr12 56139000 56139599 2 0.0 14.105738643033899
chr12 64597600 64597999 2 0.0 14.105738643033899
chr12 88270200 88270799 2 0.0 14.105738643033899
chr12 95094400 95095399 2 0.0 14.105738643033899
chr12 96881600 96881799 2 0.0 13.498144796491546
chr12 106602400 106603599 4 0.0 27.603883439525447
chr13 33041400 33042399 3 0.0 21.158607964550846
chr13 36535600 36535999 2 0.0 14.105738643033899
chr13 48438200 48438599 2 0.0 14.105738643033899
chr13 113095600 113095999 2 0.0 14.105738643033899
chr14 30160600 30161599 2 0.0 14.105738643033899
chr14 44201400 44201799 2 0.0 14.105738643033899
chr14 54727600 54727799 2 0.0 13.498144796491546
chr14 67356600 67356999 2 0.0 14.105738643033899
chr14 75051400 75051799 2 0.0 14.105738643033899
chr14 76404200 76404399 2 0.0 13.498144796491546
chr14 76912200 76912799 2 0.0 14.105738643033899
chr15 38781800 38782599 2 0.0 14.105738643033899
chr15 57638400 57638999 2 0.0 14.105738643033899
chr15 76517200 76517399 2 0.0 13.498144796491546
chr16 9080000 9080599 2 0.0 14.105738643033899
chr16 20683000 20683799 2 0.0 14.105738643033899
chr16 20724800 20725799 2 0.0 14.105738643033899
chr16 22216800 22217199 2 0.0 14.105738643033899
chr16 28892800 28893599 2 0.0 14.105738643033899
chr16 30612600 30612999 2 0.0 14.105738643033899
chr16 52910600 52911399 2 0.0 14.105738643033899
chr16 65955600 65956399 2 0.0 14.105738643033899
chr16 67987600 67988199 2 0.0 14.105738643033899
chr16 83646600 83647399 2 0.0 14.105738643033899
chr16 83749000 83749599 3 0.0 20.551014118008496
chr17 6340000 6340199 2 0.0 13.498144796491546
chr17 8036400 8036799 2 0.0 14.105738643033899
chr17 16496800 16497799 2 0.0 14.105738643033899
chr17 30567400 30568399 2 0.0 14.105738643033899
chr17 34235000 34235399 2 0.0 14.105738643033899
chr17 35277000 35277399 2 0.0 14.105738643033899
chr17 71748600 71748799 2 0.0 13.498144796491546
chr18 9324200 9324399 2 0.0 13.498144796491546
chr18 14914400 14915399 2 0.0 14.105738643033899
chr19 17239200 17239799 2 0.0 14.105738643033899
chr19 45288400 45288999 2 0.0 14.105738643033899
chr20 43477600 43477799 2 0.0 13.498144796491546
chr22 16398800 16399599 2 0.0 14.105738643033899
chr22 35502000 35502999 2 0.0 14.105738643033899
chrX 37591800 37592199 2 0.0 14.105738643033899
chrX 76940200 76940599 2 0.0 14.105738643033899"""
df = pd.read_table(
StringIO(u"""Count Chromosome Bin
2 chr1 39036800
1 chr1 73781000
1 chr1 90059800
1 chr3 55648200
1 chr7 20246600
1 chr7 91135000
1 chr13 100938400
1 chr19 43528800
1 chr19 47108800"""),
sep=r"\s+",
dtype={"Count": int32,
"Bin": int32})
return df
@pytest.fixture
def input_bed_file(tmpdir):
bed_file = tmpdir.join("fdr.csv")
bed_file.write("""Chromosome Start End ChIP Input Score
chr1 23568400 23568599 2 0.0 13.498144796491546
chr1 26401200 26401399 2 0.0 13.498144796491546
chr1 33054800 33055399 2 0.0 14.105738643033899
chr1 33365200 33365399 2 0.0 13.498144796491546
chr1 39422200 39422799 2 0.0 14.105738643033899
chr1 51473600 51474399 2 0.0 14.105738643033899
chr1 58785200 58786199 2 0.0 14.105738643033899
chr1 59430000 59430199 2 0.0 13.498144796491546
chr1 65065600 65066199 2 0.0 14.105738643033899
chr1 91625400 91625799 2 0.0 14.105738643033899
chr1 100589600 100589799 2 0.0 13.498144796491546
chr1 103840400 103841199 2 0.0 14.105738643033899
chr1 113416400 113416799 2 0.0 14.105738643033899
chr1 113486600 113487199 2 0.0 14.105738643033899
chr1 115014800 115014999 2 0.0 13.498144796491546
chr1 144181400 144181999 2 0.0 14.105738643033899
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chr1 181707400 181707999 2 0.0 14.105738643033899
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chr2 224033800 224034799 2 0.0 14.105738643033899
chr3 85593400 85594199 2 0.0 14.105738643033899
chr3 88280800 88281399 2 0.0 14.105738643033899
chr3 116714000 116714599 2 0.0 14.105738643033899
chr3 130362000 130362799 2 0.0 14.105738643033899
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chr3 161112200 161112999 2 0.0 14.105738643033899
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chr3 195381600 195382599 2 0.0 14.105738643033899
chr3 197835600 197835999 2 0.0 14.105738643033899
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chr4 37984000 37984799 2 0.0 14.105738643033899
chr4 47534200 47534599 2 0.0 14.105738643033899
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chr4 122316200 122316999 2 0.0 14.105738643033899
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chr5 129214000 129214599 2 0.0 14.105738643033899
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chr5 149809600 149809799 2 0.0 13.498144796491546
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chr6 83528200 83528999 2 0.0 14.105738643033899
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chr6 127877800 127878199 2 0.0 14.105738643033899
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chr7 61606400 61606799 3 2.0 20.551014118008496
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chr8 53868200 53868999 2 0.0 14.105738643033899
chr8 70537400 70537999 2 0.0 14.105738643033899
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chr8 101227400 101227599 2 0.0 13.498144796491546
chr8 125556600 125556799 2 0.0 13.498144796491546
chr9 26937600 26937799 2 0.0 13.498144796491546
chr9 38268800 38268999 2 0.0 13.498144796491546
chr9 97678000 97678399 2 0.0 14.105738643033899
chr9 100604000 100604399 2 0.0 14.105738643033899
chr9 129517800 129517999 2 0.0 13.498144796491546
chr10 10498200 10498599 2 0.0 14.105738643033899
chr10 48098200 48098799 2 0.0 14.105738643033899
chr10 63417600 63417999 2 0.0 14.105738643033899
chr10 98847000 98847399 2 0.0 14.105738643033899
chr10 131154400 131154799 2 0.0 14.105738643033899
chr11 16716400 16716999 2 0.0 14.105738643033899
chr11 22604000 22604399 2 0.0 14.105738643033899
chr11 31487600 31488599 2 0.0 14.105738643033899
chr11 34336800 34337399 2 0.0 14.105738643033899
chr11 44015000 44015399 2 0.0 14.105738643033899
chr11 117422000 117422399 2 0.0 14.105738643033899
chr12 9384600 9385599 2 0.0 14.105738643033899
chr12 12115600 12116599 2 0.0 14.105738643033899
chr12 24857800 24858399 2 0.0 14.105738643033899
chr12 44406000 44406999 4 0.0 27.603883439525447
chr12 55551600 55551999 2 0.0 14.105738643033899
chr12 56139000 56139599 2 0.0 14.105738643033899
chr12 64597600 64597999 2 0.0 14.105738643033899
chr12 88270200 88270799 2 0.0 14.105738643033899
chr12 95094400 95095399 2 0.0 14.105738643033899
chr12 96881600 96881799 2 0.0 13.498144796491546
chr12 106602400 106603599 4 0.0 27.603883439525447
chr13 33041400 33042399 3 0.0 21.158607964550846
chr13 36535600 36535999 2 0.0 14.105738643033899
chr13 48438200 48438599 2 0.0 14.105738643033899
chr13 113095600 113095999 2 0.0 14.105738643033899
chr14 30160600 30161599 2 0.0 14.105738643033899
chr14 44201400 44201799 2 0.0 14.105738643033899
chr14 54727600 54727799 2 0.0 13.498144796491546
chr14 67356600 67356999 2 0.0 14.105738643033899
chr14 75051400 75051799 2 0.0 14.105738643033899
chr14 76404200 76404399 2 0.0 13.498144796491546
chr14 76912200 76912799 2 0.0 14.105738643033899
chr15 38781800 38782599 2 0.0 14.105738643033899
chr15 57638400 57638999 2 0.0 14.105738643033899
chr15 76517200 76517399 2 0.0 13.498144796491546
chr16 9080000 9080599 2 0.0 14.105738643033899
chr16 20683000 20683799 2 0.0 14.105738643033899
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chr16 30612600 30612999 2 0.0 14.105738643033899
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chr16 67987600 67988199 2 0.0 14.105738643033899
chr16 83646600 83647399 2 0.0 14.105738643033899
chr16 83749000 83749599 3 0.0 20.551014118008496
chr17 6340000 6340199 2 0.0 13.498144796491546
chr17 8036400 8036799 2 0.0 14.105738643033899
chr17 16496800 16497799 2 0.0 14.105738643033899
chr17 30567400 30568399 2 0.0 14.105738643033899
chr17 34235000 34235399 2 0.0 14.105738643033899
chr17 35277000 35277399 2 0.0 14.105738643033899
chr17 71748600 71748799 2 0.0 13.498144796491546
chr18 9324200 9324399 2 0.0 13.498144796491546
chr18 14914400 14915399 2 0.0 14.105738643033899
chr19 17239200 17239799 2 0.0 14.105738643033899
chr19 45288400 45288999 2 0.0 14.105738643033899
chr20 43477600 43477799 2 0.0 13.498144796491546
chr22 16398800 16399599 2 0.0 14.105738643033899
chr22 35502000 35502999 2 0.0 14.105738643033899
chrX 37591800 37592199 2 0.0 14.105738643033899
chrX 76940200 76940599 2 0.0 14.105738643033899""")
return str(bed_file)
| 45.679045 | 112 | 0.828349 | 2,800 | 17,221 | 5.083929 | 0.156429 | 0.046365 | 0.067439 | 0.089919 | 0.957218 | 0.957218 | 0.952722 | 0.952722 | 0.952722 | 0.952722 | 0 | 0.844416 | 0.128506 | 17,221 | 376 | 113 | 45.800532 | 0.104078 | 0.002555 | 0 | 0.914601 | 0 | 0 | 0.962618 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.008264 | false | 0.002755 | 0.013774 | 0 | 0.027548 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10 |
6628564406cdf48aa1200e609b8376f9fc2d115c | 8,023 | py | Python | models/model_lib.py | yeluyue/Flops_count_pytorch | 6b75c3719ad94ab9e3a68c3ecda223bd2f8ca9e6 | [
"MIT"
] | 2 | 2019-07-04T06:45:00.000Z | 2019-07-15T12:26:09.000Z | models/model_lib.py | yeluyue/Flops_count_pytorch | 6b75c3719ad94ab9e3a68c3ecda223bd2f8ca9e6 | [
"MIT"
] | null | null | null | models/model_lib.py | yeluyue/Flops_count_pytorch | 6b75c3719ad94ab9e3a68c3ecda223bd2f8ca9e6 | [
"MIT"
] | null | null | null | '''
Modify self defination net Work
'''
from torch.nn import Linear, Conv2d, BatchNorm1d, BatchNorm2d, PReLU, ReLU, Sigmoid, Dropout2d, Dropout, AvgPool2d, MaxPool2d, AdaptiveAvgPool2d, Sequential, Module, Parameter
from models.model import Conv_block
from models.common_utility import L2Norm, Flatten, Get_Conv_Size
class Conv_Relu_block(Module):
def __init__(self, in_c, out_c, kernel=(1, 1), stride=(1, 1), padding=(0, 0), groups=1):
super(Conv_Relu_block, self).__init__()
self.conv = Conv2d(in_c, out_channels=out_c, kernel_size=kernel, groups=groups, stride=stride, padding=padding, bias=False)
self.prelu = PReLU(out_c, init=1)
def forward(self, x):
x = self.conv(x)
x = self.prelu(x)
return x
class FaceNet_Res_Elem(Module):
def __init__(self, in_c, out_c, residual=False, kernel=(3, 3), stride=(1, 1), padding=(1, 1), groups=1):
super(FaceNet_Res_Elem, self).__init__()
self.conv1 = Conv_block(in_c, out_c=in_c, kernel=kernel, padding=padding, stride=stride, groups=groups)
self.conv2 = Conv_block(in_c, out_c=out_c, kernel=kernel, padding=padding, stride=stride, groups=groups)
self.residual = residual
def forward(self, x):
if self.residual:
short_cut = x
x = self.conv1(x)
x = self.conv2(x)
if self.residual:
output = x + short_cut
else:
output = x
return output
class FaceNet_Res_Elem_conv_relu(Module):
def __init__(self, in_c, out_c, residual=False, kernel=(3, 3), stride=(1, 1), padding=(1, 1), groups=1):
super(FaceNet_Res_Elem_conv_relu, self).__init__()
self.conv1 = Conv_Relu_block(in_c, out_c=in_c, kernel=kernel, padding=padding, stride=stride, groups=groups)
self.conv2 = Conv_Relu_block(in_c, out_c=out_c, kernel=kernel, padding=padding, stride=stride, groups=groups)
self.residual = residual
def forward(self, x):
if self.residual:
short_cut = x
x = self.conv1(x)
x = self.conv2(x)
if self.residual:
output = x + short_cut
else:
output = x
return output
class Common_Residual(Module):
def __init__(self, Res_Elem, in_c, out_c, num, kernel=(3, 3), stride=(1, 1), padding=(1, 1), groups=1):
super(Common_Residual, self).__init__()
modules = []
for _ in range(num):
modules.append(Res_Elem(in_c, out_c, True, kernel=kernel, stride=stride, padding=padding, groups=groups))
self.model = Sequential(*modules)
def forward(self, x):
output = self.model(x)
return output
#================================================FaceNet-20=============================================================
class FaceNet_20(Module):
def __init__(self, embedding_size = 512, height = 112, width = 112):
super(FaceNet_20, self).__init__()
self.conv1 = Conv_block(3, 64, kernel=(3,3), stride=(2,2), padding=(1,1), groups=1)
self.conv1_res = Common_Residual(FaceNet_Res_Elem, 64,64,1, kernel=(3,3), stride=(1,1), padding=(1,1), groups=1)
self.conv2 = Conv_block(64, 128, kernel=(3, 3), stride=(2, 2), padding=(1, 1), groups=1)
self.conv2_res = Common_Residual(FaceNet_Res_Elem, 128,128, 2, kernel=(3,3), stride=(1,1), padding=(1,1), groups=1)
self.conv3 = Conv_block(128, 256, kernel=(3, 3), stride=(2, 2), padding=(1, 1), groups=1)
self.conv3_res = Common_Residual(FaceNet_Res_Elem, 256,256, 4, kernel=(3,3), stride=(1,1), padding=(1,1), groups=1)
self.conv4 = Conv_block(256, 512, kernel=(3, 3), stride=(2, 2), padding=(1, 1), groups=1)
self.conv4_res = Common_Residual(FaceNet_Res_Elem, 512,512, 1, kernel=(3,3), stride=(1,1), padding=(1,1), groups=1)
self.flatten = Flatten()
self.linear = Linear(
512 * Get_Conv_Size(height, width, kernel=(3,3), stride=(2,2), padding=(1,1), rpt_num=4),
embedding_size)
self.bn = BatchNorm1d(embedding_size)
self.l2 = L2Norm()
def forward(self, x):
out = self.conv1(x)
out = self.conv1_res(out)
out = self.conv2(out)
out = self.conv2_res(out)
out = self.conv3(out)
out = self.conv3_res(out)
out = self.conv4(out)
out = self.conv4_res(out)
out = self.flatten(out)
out = self.linear(out)
out = self.bn(out)
out = self.l2(out)
return out
class FaceNet_Origin_20(Module):
def __init__(self, embedding_size = 512, height = 112, width = 96):
super(FaceNet_Origin_20, self).__init__()
self.conv1 = Conv_block(3, 64, kernel=(3,3), stride=(2,2), padding=(1,1), groups=1)
self.conv1_res = Common_Residual(FaceNet_Res_Elem_conv_relu, 64,64,1, kernel=(3,3), stride=(1,1), padding=(1,1), groups=1)
self.conv2 = Conv_block(64, 128, kernel=(3, 3), stride=(2, 2), padding=(1, 1), groups=1)
self.conv2_res = Common_Residual(FaceNet_Res_Elem_conv_relu, 128,128, 2, kernel=(3,3), stride=(1,1), padding=(1,1), groups=1)
self.conv3 = Conv_block(128, 256, kernel=(3, 3), stride=(2, 2), padding=(1, 1), groups=1)
self.conv3_res = Common_Residual(FaceNet_Res_Elem_conv_relu, 256,256, 4, kernel=(3,3), stride=(1,1), padding=(1,1), groups=1)
self.conv4 = Conv_block(256, 512, kernel=(3, 3), stride=(2, 2), padding=(1, 1), groups=1)
self.conv4_res = Common_Residual(FaceNet_Res_Elem_conv_relu, 512,512, 1, kernel=(3,3), stride=(1,1), padding=(1,1), groups=1)
self.flatten = Flatten()
self.linear = Linear(
512* Get_Conv_Size(height, width, kernel=(3,3), stride=(2,2), padding=(1,1), rpt_num=4),
embedding_size)
self.bn = BatchNorm1d(embedding_size)
self.l2 = L2Norm()
def forward(self, x):
out = self.conv1(x)
out = self.conv1_res(out)
out = self.conv2(out)
out = self.conv2_res(out)
out = self.conv3(out)
out = self.conv3_res(out)
out = self.conv4(out)
out = self.conv4_res(out)
out = self.flatten(out)
out = self.linear(out)
out = self.bn(out)
out = self.l2(out)
return out
class FaceNet_cf_20(Module):
def __init__(self, embedding_size = 512, height = 112, width = 96):
super(FaceNet_cf_20, self).__init__()
self.conv1 = Conv_block_no_bn(3, 64, kernel=(3,3), stride=(2,2), padding=(1,1), groups=1)
self.conv1_res = Common_Residual(FaceNet_Res_Elem_conv_relu, 64,64,1, kernel=(3,3), stride=(1,1), padding=(1,1), groups=1)
self.conv2 = Conv_block(64, 128, kernel=(3, 3), stride=(2, 2), padding=(1, 1), groups=1)
self.conv2_res = Common_Residual(FaceNet_Res_Elem_conv_relu, 128,128, 2, kernel=(3,3), stride=(1,1), padding=(1,1), groups=1)
self.conv3 = Conv_block_no_bn(128, 256, kernel=(3, 3), stride=(2, 2), padding=(1, 1), groups=1)
self.conv3_res = Common_Residual(FaceNet_Res_Elem_conv_relu, 256,256, 4, kernel=(3,3), stride=(1,1), padding=(1,1), groups=1)
self.conv4 = Conv_block_no_bn(256, 512, kernel=(3, 3), stride=(2, 2), padding=(1, 1), groups=1)
self.conv4_res = Common_Residual(FaceNet_Res_Elem_conv_relu, 512,512, 1, kernel=(3,3), stride=(1,1), padding=(1,1), groups=1)
self.flatten = Flatten()
self.linear = Linear(
512* Get_Conv_Size(height, width, kernel=(3,3), stride=(2,2), padding=(1,1), rpt_num=4),
embedding_size)
self.bn = BatchNorm1d(embedding_size)
self.l2 = L2Norm()
def forward(self, x):
out = self.conv1(x)
out = self.conv1_res(out)
out = self.conv2(out)
out = self.conv2_res(out)
out = self.conv3(out)
out = self.conv3_res(out)
out = self.conv4(out)
out = self.conv4_res(out)
out = self.flatten(out)
out = self.linear(out)
out = self.bn(out)
out = self.l2(out)
return out
| 45.845714 | 175 | 0.610495 | 1,211 | 8,023 | 3.846408 | 0.075145 | 0.02018 | 0.051524 | 0.090167 | 0.831473 | 0.821383 | 0.810863 | 0.802276 | 0.797123 | 0.797123 | 0 | 0.077456 | 0.225975 | 8,023 | 174 | 176 | 46.109195 | 0.672625 | 0.018821 | 0 | 0.721088 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.095238 | false | 0 | 0.020408 | 0 | 0.210884 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
b03f5efca7fb00c4103d781b337c5320d84da79f | 6,304 | py | Python | tallerfunciones.py | 9juandromero7/tallerfunciones | 68ea99bc77c21bf753f0129313957eaa13dbf571 | [
"MIT"
] | null | null | null | tallerfunciones.py | 9juandromero7/tallerfunciones | 68ea99bc77c21bf753f0129313957eaa13dbf571 | [
"MIT"
] | null | null | null | tallerfunciones.py | 9juandromero7/tallerfunciones | 68ea99bc77c21bf753f0129313957eaa13dbf571 | [
"MIT"
] | null | null | null | frutas = open('frutas.txt', 'r')
numeros= open('numeros.txt','r')
lista_frutas=[]#Llenar las lista con los datos del archivo frutas.txt
lista_numeros=[]#Llenar las lista con los datos del archivo numeros.txt
for i in frutas:
lista_frutas.append(i)
for i in numeros:
lista_numeros.append(i)
#Realizar una funcion que elimine un caracter de todos los elementos de la lista
"""
Entradas:
lista-->list-->lista
elemento->str-->elemento
Salidas
lista-->lista
"""
def eliminar_un_caracter(lista,elemento):
auxilar=[]
for i in lista:
a=i.replace(elemento,"")
auxilar.append(a)
return auxilar
#Realizar una funcion que retorne la copia de una lista que pasa por parametro
"""
Entradas:
lista-list-->lista
Salidas
lista-list-->lista
"""
def copia_lista(lista):
return lista.copy()
#Realizar una funcion que retorne una lista de numeros enteros
"""
Entradas:
lista-list-->lista
Salidas
lista-list-->lista
"""
def numeros_enteros(lista):
aux=[]
aux_uno=[]
for i in lista:
aux.append(float(i))
for i in aux:
aux_uno.append(int(i))
return aux_uno
#Realiza una funcion que retorne una lista con los numeros pares
"""
Entradas:
lista-list-->lista
Salidas
lista-list-->lista
"""
def numeros_pares(lista):
aux=[]
for i in lista:
if(float(i)%2==0):
aux.append(i)
return aux
#Realizar una funcion que elimine un elemento de una lista
"""
Entradas:
lista-list-->lista
elemento-->str-->elemento
Salidas
lista-list-->lista
"""
def elimina_elemento_lista(lista,elemento):
lista.remove(elemento)
return lista
#Retorna una lista con las palabras iniciales con la letra que pasa por parametro
"""
Entradas:
lista-list-->lista
letra-->str-->letra
Salidas
lista-list-->lista
"""
def palabras_por_letra (lista,elemento):
aux=[]
for i in lista:
if(i[0]==elemento):
aux.append(i)
return aux
#Realizar una funcion que retorne el tamaño de una lista
"""
Entradas:
lista->list->lista
Salidas
tamaño-->int->tamano
"""
def tamano_lista(lista):
for i in lista:
print (len(lista))
#Retorna el tamaño de la lista y que tipo de datos estan dentro de la lista
"""
Entradas:
Salidas
"""
def informacion_lista():
pass
#Retornar una lista con los numero negativos
"""
Entradas:
lista->list->lista
Salidas
lista->list->lista
"""
def numeros_negativos(lista):
aux=[]
for i in lista:
if(float(i)<0):
aux.append(i)
return aux
#realizar una funcion que retorne la posicion de un elemento que pasa por parametro
def posicion_elemento(lista:list,elemento:str):
for i in lista:
if(i==elemento):
p=lista.index(i)
print (p)
#realizar una funcion que agregue al final de archivo frutas una fruta
def frutas(lista,elemento):
lista.append(elemento)
return lista
#Realizar una funcion que cuente el numero de veces que se repite un elemento
def repetir(lista,elemento):
aux=[]
for i in lista:
aux.append(float(i))
for i in aux:
p=aux.count(elemento)
return p
frutas = open('frutas.txt', 'r')
numeros= open('numeros.txt','r')
lista_frutas=[]#Llenar las lista con los datos del archivo frutas.txt
lista_numeros=[]#Llenar las lista con los datos del archivo numeros.txt
for i in frutas:
lista_frutas.append(i)
for i in numeros:
lista_numeros.append(i)
#Realizar una funcion que elimine un caracter de todos los elementos de la lista
"""
Entradas:
lista-->list-->lista
elemento->str-->elemento
Salidas
lista-->lista
"""
def eliminar_un_caracter(lista,elemento):
auxilar=[]
for i in lista:
a=i.replace(elemento,"")
auxilar.append(a)
return auxilar
#Realizar una funcion que retorne la copia de una lista que pasa por parametro
"""
Entradas:
lista-list-->lista
Salidas
lista-list-->lista
"""
def copia_lista(lista):
return lista.copy()
#Realizar una funcion que retorne una lista de numeros enteros
"""
Entradas:
lista-list-->lista
Salidas
lista-list-->lista
"""
def numeros_enteros(lista):
aux=[]
aux_uno=[]
for i in lista:
aux.append(float(i))
for i in aux:
aux_uno.append(int(i))
return aux_uno
#Realiza una funcion que retorne una lista con los numeros pares
"""
Entradas:
lista-list-->lista
Salidas
lista-list-->lista
"""
def numeros_pares(lista):
aux=[]
for i in lista:
if(float(i)%2==0):
aux.append(i)
return aux
#Realizar una funcion que elimine un elemento de una lista
"""
Entradas:
lista-list-->lista
elemento-->str-->elemento
Salidas
lista-list-->lista
"""
def elimina_elemento_lista(lista,elemento):
lista.remove(elemento)
return lista
#Retorna una lista con las palabras iniciales con la letra que pasa por parametro
"""
Entradas:
lista-list-->lista
letra-->str-->letra
Salidas
lista-list-->lista
"""
def palabras_por_letra (lista,elemento):
aux=[]
for i in lista:
if(i[0]==elemento):
aux.append(i)
return aux
#Realizar una funcion que retorne el tamaño de una lista
"""
Entradas:
lista->list->lista
Salidas
tamaño-->int->tamano
"""
def tamano_lista(lista):
for i in lista:
print (len(lista))
#Retorna el tamaño de la lista y que tipo de datos estan dentro de la lista
"""
Entradas:
Salidas
"""
def informacion_lista():
pass
#Retornar una lista con los numero negativos
"""
Entradas:
lista->list->lista
Salidas
lista->list->lista
"""
def numeros_negativos(lista):
aux=[]
for i in lista:
if(float(i)<0):
aux.append(i)
return aux
#realizar una funcion que retorne la posicion de un elemento que pasa por parametro
def posicion_elemento(lista:list,elemento:str):
for i in lista:
if(i==elemento):
p=lista.index(i)
print (p)
#realizar una funcion que agregue al final de archivo frutas una fruta
def frutas(lista,elemento):
lista.append(elemento)
return lista
#Realizar una funcion que cuente el numero de veces que se repite un elemento
def repetir(lista,elemento):
aux=[]
for i in lista:
aux.append(float(i))
for i in aux:
p=aux.count(elemento)
return p
if _name_ == "_main_" :
| 22.041958 | 84 | 0.669099 | 921 | 6,304 | 4.53203 | 0.09772 | 0.064686 | 0.093915 | 0.080498 | 0.997604 | 0.997604 | 0.997604 | 0.997604 | 0.997604 | 0.997604 | 0 | 0.001624 | 0.218433 | 6,304 | 285 | 85 | 22.119298 | 0.845545 | 0.29632 | 0 | 0.992366 | 0 | 0 | 0.01779 | 0 | 0 | 0 | 0 | 0.007018 | 0 | 0 | null | null | 0.015267 | 0 | null | null | 0.030534 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
c69503b1f9fa30630034b58c4fd6b9c607d4c475 | 8,830 | py | Python | setor/userAgents.py | DaniasHerlambang/setor | 5360e2143f2280e867364fcb6cb0cd0632fad4c9 | [
"MIT"
] | null | null | null | setor/userAgents.py | DaniasHerlambang/setor | 5360e2143f2280e867364fcb6cb0cd0632fad4c9 | [
"MIT"
] | null | null | null | setor/userAgents.py | DaniasHerlambang/setor | 5360e2143f2280e867364fcb6cb0cd0632fad4c9 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
'''
This userAgents put from: https://github.com/claudioviviani/wordbrutepress/blob/master/wordbrutepress.py#L85
Thanks so much for it.
'''
userAgents = [
'Mozilla/5.0 (Windows; U; Windows NT 5.1; en-US; rv:1.9.0.7) Gecko/2009021910 Firefox/3.0.7',
'Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/36.0.1985.125 Safari/537.36',
'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_9_4 AppleWebKit/537.36 (KHTML, like Gecko) Chrome/36.0.1985.125 Safari/537.36',
'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_9_4) AppleWebKit/537.77.4 (KHTML, like Gecko) Version/7.0.5 Safari/537.77.4',
'Mozilla/5.0 (Windows NT 6.3; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/36.0.1985.125 Safari/537.36',
'Mozilla/5.0 (Windows NT 6.1; WOW64; rv:31.0) Gecko/20100101 Firefox/31.0',
'Mozilla/5.0 (Windows NT 6.1; WOW64; rv:30.0) Gecko/20100101 Firefox/30.0',
'Mozilla/5.0 (Macintosh; Intel Mac OS X 10.9; rv:31.0) Gecko/20100101 Firefox/31.0',
'Mozilla/5.0 (Windows NT 6.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/36.0.1985.125 Safari/537.36',
'Mozilla/5.0 (iPhone; CPU iPhone OS 7_1_2 like Mac OS X) AppleWebKit/537.51.2 (KHTML, like Gecko) Version/7.0 Mobile/11D257 Safari/9537.53',
'Mozilla/5.0 (Windows NT 6.1; WOW64; Trident/7.0; rv:11.0) like Gecko',
'Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/35.0.1916.153 Safari/537.36',
'Mozilla/5.0 (Macintosh; Intel Mac OS X 10.9; rv:30.0) Gecko/20100101 Firefox/30.0',
'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/36.0.1985.125 Safari/537.36',
'Mozilla/5.0 (Windows NT 6.2; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/36.0.1985.125 Safari/537.36',
'Mozilla/5.0 (Windows NT 6.3; WOW64; rv:31.0) Gecko/20100101 Firefox/31.0',
'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_9_3) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/36.0.1985.125 Safari/537.36',
'Mozilla/5.0 (iPad; CPU OS 7_1_2 like Mac OS X) AppleWebKit/537.51.2 (KHTML, like Gecko) Version/7.0 Mobile/11D257 Safari/9537.53',
'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_9_4) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/36.0.1985.143 Safari/537.36',
'Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:31.0) Gecko/20100101 Firefox/31.0',
'Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/36.0.1985.143 Safari/537.36',
'Mozilla/5.0 (Windows NT 6.1; rv:31.0) Gecko/20100101 Firefox/31.0',
'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_8_5) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/36.0.1985.125 Safari/537.36',
'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_9_4) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/35.0.1916.153 Safari/537.36',
'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_9_2) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/36.0.1985.125 Safari/537.36',
'Mozilla/5.0 (iPhone; CPU iPhone OS 7_1_1 like Mac OS X) AppleWebKit/537.51.2 (KHTML, like Gecko) Version/7.0 Mobile/11D201 Safari/9537.53',
'Mozilla/5.0 (Windows NT 5.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/36.0.1985.125 Safari/537.36',
'Mozilla/5.0 (Windows NT 5.1; rv:31.0) Gecko/20100101 Firefox/31.0',
'Mozilla/5.0 (Windows NT 6.3; WOW64; rv:30.0) Gecko/20100101 Firefox/30.0',
'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/35.0.1916.153 Safari/537.36',
'Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:30.0) Gecko/20100101 Firefox/30.0',
'Mozilla/5.0 (Windows NT 6.3; WOW64; Trident/7.0; rv:11.0) like Gecko',
'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_9_3) AppleWebKit/537.76.4 (KHTML, like Gecko) Version/7.0.4 Safari/537.76.4',
'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_9_4) AppleWebKit/537.78.2 (KHTML, like Gecko) Version/7.0.6 Safari/537.78.2',
'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10) AppleWebKit/538.46 (KHTML, like Gecko) Version/8.0 Safari/538.46',
'Mozilla/5.0 (compatible; MSIE 9.0; Windows NT 6.1; WOW64; Trident/5.0)',
'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_0) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/36.0.1985.125 Safari/537.36',
'Mozilla/5.0 (Windows NT 6.1; rv:30.0) Gecko/20100101 Firefox/30.0',
'Mozilla/5.0 (Windows NT 6.3; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/35.0.1916.153 Safari/537.36',
'Mozilla/5.0 (compatible; MSIE 10.0; Windows NT 6.1; WOW64; Trident/6.0)',
'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_6_8) AppleWebKit/534.59.10 (KHTML, like Gecko) Version/5.1.9 Safari/534.59.10',
'Mozilla/5.0 (Windows NT 6.1; Trident/7.0; rv:11.0) like Gecko',
'Mozilla/5.0 (Windows NT 6.3; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/36.0.1985.143 Safari/537.36',
'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_7_5) AppleWebKit/537.77.4 (KHTML, like Gecko) Version/6.1.5 Safari/537.77.4',
'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Ubuntu Chromium/34.0.1847.116 Chrome/34.0.1847.116 Safari/537.36',
'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_8_5) AppleWebKit/537.77.4 (KHTML, like Gecko) Version/6.1.5 Safari/537.77.4',
'Mozilla/5.0 (X11; Linux x86_64; rv:31.0) Gecko/20100101 Firefox/31.0',
'Mozilla/5.0 (iPad; CPU OS 7_1_1 like Mac OS X) AppleWebKit/537.51.2 (KHTML, like Gecko) Version/7.0 Mobile/11D201 Safari/9537.53',
'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_7_5) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/36.0.1985.125 Safari/537.36',
'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_6_8) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/36.0.1985.125 Safari/537.36',
'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_9_2) AppleWebKit/537.75.14 (KHTML, like Gecko) Version/7.0.3 Safari/537.75.14',
'Mozilla/5.0 (X11; Ubuntu; Linux i686; rv:31.0) Gecko/20100101 Firefox/31.0',
'Mozilla/5.0 (iPhone; CPU iPhone OS 7_1 like Mac OS X) AppleWebKit/537.51.2 (KHTML, like Gecko) Version/7.0 Mobile/11D167 Safari/9537.53',
'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_9_2) AppleWebKit/537.74.9 (KHTML, like Gecko) Version/7.0.2 Safari/537.74.9',
'Mozilla/5.0 (X11; Linux x86_64; rv:30.0) Gecko/20100101 Firefox/30.0',
'Mozilla/5.0 (iPhone; CPU iPhone OS 7_0_4 like Mac OS X) AppleWebKit/537.51.1 (KHTML, like Gecko) Version/7.0 Mobile/11B554a Safari/9537.53',
'Mozilla/5.0 (Macintosh; Intel Mac OS X 10.8; rv:31.0) Gecko/20100101 Firefox/31.0',
'Mozilla/5.0 (Windows NT 6.1; WOW64; rv:24.0) Gecko/20100101 Firefox/24.0',
'Mozilla/5.0 (Windows NT 6.0) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/36.0.1985.125 Safari/537.36',
'Mozilla/5.0 (Macintosh; Intel Mac OS X 10.7; rv:31.0) Gecko/20100101 Firefox/31.0',
'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_9_3) AppleWebKit/537.75.14 (KHTML, like Gecko) Version/7.0.3 Safari/537.75.14',
'Mozilla/5.0 (compatible; MSIE 9.0; Windows NT 6.1; Trident/5.0)',
'Mozilla/5.0 (Windows NT 5.1; rv:30.0) Gecko/20100101 Firefox/30.0',
'Mozilla/5.0 (Windows NT 6.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/35.0.1916.153 Safari/537.36',
'Mozilla/5.0 (Windows NT 6.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/36.0.1985.143 Safari/537.36',
'Mozilla/5.0 (Windows NT 6.1; WOW64; rv:29.0) Gecko/20100101 Firefox/29.0',
'Mozilla/5.0 (Windows NT 6.2; WOW64; rv:31.0) Gecko/20100101 Firefox/31.0',
'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_9_0) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/36.0.1985.125 Safari/537.36',
'Mozilla/5.0 (iPhone; CPU iPhone OS 7_1_2 like Mac OS X) AppleWebKit/537.51.1 (KHTML, like Gecko) GSA/4.1.0.31802 Mobile/11D257 Safari/9537.53',
'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_9_3) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/35.0.1916.153 Safari/537.36',
'Mozilla/5.0 (Macintosh; Intel Mac OS X 10.6; rv:31.0) Gecko/20100101 Firefox/31.0',
'Mozilla/5.0 (Windows NT 6.1; rv:24.0) Gecko/20100101 Firefox/24.0',
'Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/35.0.1916.114 Safari/537.36',
'Mozilla/5.0 (Windows NT 6.2; WOW64; rv:30.0) Gecko/20100101 Firefox/30.0',
'Mozilla/5.0 (X11; Linux i686) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/36.0.1985.125 Safari/537.36',
'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/36.0.1985.143 Safari/537.36',
'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Ubuntu Chromium/36.0.1985.125 Chrome/36.0.1985.125 Safari/537.36',
'Mozilla/5.0 (Macintosh; Intel Mac OS X 10.8; rv:30.0) Gecko/20100101 Firefox/30.0',
'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10) AppleWebKit/600.1.3 (KHTML, like Gecko) Version/8.0 Safari/600.1.3',
'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_9_2) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/35.0.1916.153 Safari/537.36'
]
| 97.032967 | 148 | 0.695923 | 1,728 | 8,830 | 3.51794 | 0.063079 | 0.026978 | 0.118441 | 0.10709 | 0.931239 | 0.928936 | 0.921204 | 0.89143 | 0.874486 | 0.864945 | 0 | 0.235488 | 0.139638 | 8,830 | 90 | 149 | 98.111111 | 0.564697 | 0.019706 | 0 | 0 | 0 | 0.97561 | 0.923139 | 0.012386 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 |
059a06d222ed4c754de54fba4554451abb3ea3a8 | 198 | py | Python | sample_app/tests.py | Draft2Digital/react-in-django | 09906fd69b5ce574d3cb798e4ea1f6a3334f9dfb | [
"MIT"
] | null | null | null | sample_app/tests.py | Draft2Digital/react-in-django | 09906fd69b5ce574d3cb798e4ea1f6a3334f9dfb | [
"MIT"
] | null | null | null | sample_app/tests.py | Draft2Digital/react-in-django | 09906fd69b5ce574d3cb798e4ea1f6a3334f9dfb | [
"MIT"
] | null | null | null | # coding=utf-8
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from django.test import TestCase
| 24.75 | 39 | 0.863636 | 27 | 198 | 5.62963 | 0.555556 | 0.263158 | 0.421053 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.005714 | 0.116162 | 198 | 7 | 40 | 28.285714 | 0.862857 | 0.060606 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0.2 | 1 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
059cf8f9bd1c2978274a7e24ae0e87ebab955bd4 | 23,821 | py | Python | ververica_api_sdk/api/deployment_resource_api.py | justlikemikezz/ververica-api-sdk | 0eee284b4433f74b35fd2f41d149e619624aaed3 | [
"RSA-MD"
] | null | null | null | ververica_api_sdk/api/deployment_resource_api.py | justlikemikezz/ververica-api-sdk | 0eee284b4433f74b35fd2f41d149e619624aaed3 | [
"RSA-MD"
] | null | null | null | ververica_api_sdk/api/deployment_resource_api.py | justlikemikezz/ververica-api-sdk | 0eee284b4433f74b35fd2f41d149e619624aaed3 | [
"RSA-MD"
] | null | null | null | # coding: utf-8
"""
Application Manager API
Application Manager APIs to control Apache Flink jobs # noqa: E501
OpenAPI spec version: 2.0.1
Contact: platform@ververica.com
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from __future__ import absolute_import
import re # noqa: F401
# python 2 and python 3 compatibility library
import six
from ververica_api_sdk.api_client import ApiClient
class DeploymentResourceApi(object):
"""NOTE: This class is auto generated by the swagger code generator program.
Do not edit the class manually.
Ref: https://github.com/swagger-api/swagger-codegen
"""
def __init__(self, api_client=None):
if api_client is None:
api_client = ApiClient()
self.api_client = api_client
def create_deployment_using_post(self, deployment_change, namespace, **kwargs): # noqa: E501
"""Create a deployment # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.create_deployment_using_post(deployment_change, namespace, async_req=True)
>>> result = thread.get()
:param async_req bool
:param Deployment deployment_change: deploymentChange (required)
:param str namespace: namespace (required)
:return: Deployment
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.create_deployment_using_post_with_http_info(deployment_change, namespace, **kwargs) # noqa: E501
else:
(data) = self.create_deployment_using_post_with_http_info(deployment_change, namespace, **kwargs) # noqa: E501
return data
def create_deployment_using_post_with_http_info(self, deployment_change, namespace, **kwargs): # noqa: E501
"""Create a deployment # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.create_deployment_using_post_with_http_info(deployment_change, namespace, async_req=True)
>>> result = thread.get()
:param async_req bool
:param Deployment deployment_change: deploymentChange (required)
:param str namespace: namespace (required)
:return: Deployment
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['deployment_change', 'namespace'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method create_deployment_using_post" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'deployment_change' is set
if ('deployment_change' not in params or
params['deployment_change'] is None):
raise ValueError("Missing the required parameter `deployment_change` when calling `create_deployment_using_post`") # noqa: E501
# verify the required parameter 'namespace' is set
if ('namespace' not in params or
params['namespace'] is None):
raise ValueError("Missing the required parameter `namespace` when calling `create_deployment_using_post`") # noqa: E501
collection_formats = {}
path_params = {}
if 'namespace' in params:
path_params['namespace'] = params['namespace'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
if 'deployment_change' in params:
body_params = params['deployment_change']
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json', 'application/yaml']) # noqa: E501
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501
['application/json', 'application/yaml']) # noqa: E501
# Authentication setting
auth_settings = [] # noqa: E501
return self.api_client.call_api(
'/api/v1/namespaces/{namespace}/deployments', 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='Deployment', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def delete_deployment_using_delete(self, deployment_id, namespace, **kwargs): # noqa: E501
"""Delete deployment # noqa: E501
This operation expects the deployment to be in desired state CANCELLED # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.delete_deployment_using_delete(deployment_id, namespace, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str deployment_id: deploymentId (required)
:param str namespace: namespace (required)
:return: Deployment
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.delete_deployment_using_delete_with_http_info(deployment_id, namespace, **kwargs) # noqa: E501
else:
(data) = self.delete_deployment_using_delete_with_http_info(deployment_id, namespace, **kwargs) # noqa: E501
return data
def delete_deployment_using_delete_with_http_info(self, deployment_id, namespace, **kwargs): # noqa: E501
"""Delete deployment # noqa: E501
This operation expects the deployment to be in desired state CANCELLED # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.delete_deployment_using_delete_with_http_info(deployment_id, namespace, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str deployment_id: deploymentId (required)
:param str namespace: namespace (required)
:return: Deployment
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['deployment_id', 'namespace'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method delete_deployment_using_delete" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'deployment_id' is set
if ('deployment_id' not in params or
params['deployment_id'] is None):
raise ValueError("Missing the required parameter `deployment_id` when calling `delete_deployment_using_delete`") # noqa: E501
# verify the required parameter 'namespace' is set
if ('namespace' not in params or
params['namespace'] is None):
raise ValueError("Missing the required parameter `namespace` when calling `delete_deployment_using_delete`") # noqa: E501
collection_formats = {}
path_params = {}
if 'deployment_id' in params:
path_params['deploymentId'] = params['deployment_id'] # noqa: E501
if 'namespace' in params:
path_params['namespace'] = params['namespace'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json', 'application/yaml']) # noqa: E501
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501
['application/json', 'application/yaml']) # noqa: E501
# Authentication setting
auth_settings = [] # noqa: E501
return self.api_client.call_api(
'/api/v1/namespaces/{namespace}/deployments/{deploymentId}', 'DELETE',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='Deployment', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def get_deployment_using_get(self, deployment_id, namespace, **kwargs): # noqa: E501
"""Get a deployment by id # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_deployment_using_get(deployment_id, namespace, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str deployment_id: deploymentId (required)
:param str namespace: namespace (required)
:return: Deployment
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.get_deployment_using_get_with_http_info(deployment_id, namespace, **kwargs) # noqa: E501
else:
(data) = self.get_deployment_using_get_with_http_info(deployment_id, namespace, **kwargs) # noqa: E501
return data
def get_deployment_using_get_with_http_info(self, deployment_id, namespace, **kwargs): # noqa: E501
"""Get a deployment by id # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_deployment_using_get_with_http_info(deployment_id, namespace, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str deployment_id: deploymentId (required)
:param str namespace: namespace (required)
:return: Deployment
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['deployment_id', 'namespace'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method get_deployment_using_get" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'deployment_id' is set
if ('deployment_id' not in params or
params['deployment_id'] is None):
raise ValueError("Missing the required parameter `deployment_id` when calling `get_deployment_using_get`") # noqa: E501
# verify the required parameter 'namespace' is set
if ('namespace' not in params or
params['namespace'] is None):
raise ValueError("Missing the required parameter `namespace` when calling `get_deployment_using_get`") # noqa: E501
collection_formats = {}
path_params = {}
if 'deployment_id' in params:
path_params['deploymentId'] = params['deployment_id'] # noqa: E501
if 'namespace' in params:
path_params['namespace'] = params['namespace'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json', 'application/yaml']) # noqa: E501
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501
['application/json', 'application/yaml']) # noqa: E501
# Authentication setting
auth_settings = [] # noqa: E501
return self.api_client.call_api(
'/api/v1/namespaces/{namespace}/deployments/{deploymentId}', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='Deployment', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def get_deployments_using_get(self, namespace, **kwargs): # noqa: E501
"""List all deployments # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_deployments_using_get(namespace, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str namespace: namespace (required)
:param str label_selector: labelSelector
:return: ResourceListDeployment
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.get_deployments_using_get_with_http_info(namespace, **kwargs) # noqa: E501
else:
(data) = self.get_deployments_using_get_with_http_info(namespace, **kwargs) # noqa: E501
return data
def get_deployments_using_get_with_http_info(self, namespace, **kwargs): # noqa: E501
"""List all deployments # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_deployments_using_get_with_http_info(namespace, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str namespace: namespace (required)
:param str label_selector: labelSelector
:return: ResourceListDeployment
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['namespace', 'label_selector'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method get_deployments_using_get" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'namespace' is set
if ('namespace' not in params or
params['namespace'] is None):
raise ValueError("Missing the required parameter `namespace` when calling `get_deployments_using_get`") # noqa: E501
collection_formats = {}
path_params = {}
if 'namespace' in params:
path_params['namespace'] = params['namespace'] # noqa: E501
query_params = []
if 'label_selector' in params:
query_params.append(('labelSelector', params['label_selector'])) # noqa: E501
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json', 'application/yaml']) # noqa: E501
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501
['application/json', 'application/yaml']) # noqa: E501
# Authentication setting
auth_settings = [] # noqa: E501
return self.api_client.call_api(
'/api/v1/namespaces/{namespace}/deployments', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='ResourceListDeployment', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def update_deployment_using_patch(self, body, deployment_id, namespace, **kwargs): # noqa: E501
"""Update a deployment # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.update_deployment_using_patch(body, deployment_id, namespace, async_req=True)
>>> result = thread.get()
:param async_req bool
:param ComDataartisansAppmanagerApiV1EntityDeploymentDeployment body: (required)
:param str deployment_id: deploymentId (required)
:param str namespace: namespace (required)
:return: Deployment
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.update_deployment_using_patch_with_http_info(body, deployment_id, namespace, **kwargs) # noqa: E501
else:
(data) = self.update_deployment_using_patch_with_http_info(body, deployment_id, namespace, **kwargs) # noqa: E501
return data
def update_deployment_using_patch_with_http_info(self, body, deployment_id, namespace, **kwargs): # noqa: E501
"""Update a deployment # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.update_deployment_using_patch_with_http_info(body, deployment_id, namespace, async_req=True)
>>> result = thread.get()
:param async_req bool
:param ComDataartisansAppmanagerApiV1EntityDeploymentDeployment body: (required)
:param str deployment_id: deploymentId (required)
:param str namespace: namespace (required)
:return: Deployment
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['body', 'deployment_id', 'namespace'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method update_deployment_using_patch" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'body' is set
if ('body' not in params or
params['body'] is None):
raise ValueError("Missing the required parameter `body` when calling `update_deployment_using_patch`") # noqa: E501
# verify the required parameter 'deployment_id' is set
if ('deployment_id' not in params or
params['deployment_id'] is None):
raise ValueError("Missing the required parameter `deployment_id` when calling `update_deployment_using_patch`") # noqa: E501
# verify the required parameter 'namespace' is set
if ('namespace' not in params or
params['namespace'] is None):
raise ValueError("Missing the required parameter `namespace` when calling `update_deployment_using_patch`") # noqa: E501
collection_formats = {}
path_params = {}
if 'deployment_id' in params:
path_params['deploymentId'] = params['deployment_id'] # noqa: E501
if 'namespace' in params:
path_params['namespace'] = params['namespace'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
if 'body' in params:
body_params = params['body']
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json', 'application/yaml']) # noqa: E501
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501
['application/json', 'application/yaml']) # noqa: E501
# Authentication setting
auth_settings = [] # noqa: E501
return self.api_client.call_api(
'/api/v1/namespaces/{namespace}/deployments/{deploymentId}', 'PATCH',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='Deployment', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
| 42.086572 | 140 | 0.631418 | 2,644 | 23,821 | 5.434191 | 0.066188 | 0.045657 | 0.030693 | 0.032016 | 0.941954 | 0.928243 | 0.926225 | 0.908964 | 0.890938 | 0.884326 | 0 | 0.015269 | 0.279669 | 23,821 | 565 | 141 | 42.161062 | 0.822076 | 0.3117 | 0 | 0.777778 | 0 | 0 | 0.229747 | 0.067988 | 0 | 0 | 0 | 0 | 0 | 1 | 0.035948 | false | 0 | 0.013072 | 0 | 0.101307 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
05f98d59a1f56168040ebbc7609f2420e534d3c7 | 91 | py | Python | env/lib/python3.6/site-packages/pandas/core/index.py | anthowen/duplify | 846d01c1b21230937fdf0281b0cf8c0b08a8c24e | [
"MIT"
] | 4 | 2016-12-06T20:22:28.000Z | 2018-05-04T09:51:45.000Z | env/lib/python3.6/site-packages/pandas/core/index.py | anthowen/duplify | 846d01c1b21230937fdf0281b0cf8c0b08a8c24e | [
"MIT"
] | 11 | 2020-06-05T17:24:17.000Z | 2022-03-11T23:15:26.000Z | env/lib/python3.6/site-packages/pandas/core/index.py | anthowen/duplify | 846d01c1b21230937fdf0281b0cf8c0b08a8c24e | [
"MIT"
] | 3 | 2017-02-25T15:26:47.000Z | 2017-12-20T06:27:07.000Z | # flake8: noqa
from pandas.indexes.api import *
from pandas.indexes.multi import _sparsify
| 22.75 | 42 | 0.802198 | 13 | 91 | 5.538462 | 0.692308 | 0.277778 | 0.472222 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0125 | 0.120879 | 91 | 3 | 43 | 30.333333 | 0.8875 | 0.131868 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
af32bd926a566e6662517e9100a44baf88c7a5fc | 3,047 | py | Python | isiscb/isisdata/migrations/0043_auto_20160809_1229.py | bgopalachary/IsisCB | c28e3f504eea60ebeff38318d8bb2071abb28ebb | [
"MIT"
] | 4 | 2016-01-25T20:35:33.000Z | 2020-04-07T15:39:52.000Z | isiscb/isisdata/migrations/0043_auto_20160809_1229.py | bgopalachary/IsisCB | c28e3f504eea60ebeff38318d8bb2071abb28ebb | [
"MIT"
] | 41 | 2015-08-19T17:34:41.000Z | 2022-03-11T23:19:01.000Z | isiscb/isisdata/migrations/0043_auto_20160809_1229.py | bgopalachary/IsisCB | c28e3f504eea60ebeff38318d8bb2071abb28ebb | [
"MIT"
] | 2 | 2020-11-25T20:18:18.000Z | 2021-06-24T15:15:41.000Z | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('isisdata', '0042_auto_20160712_1718'),
]
operations = [
migrations.AddField(
model_name='citation',
name='title_for_sort',
field=models.CharField(max_length=2000, null=True, blank=True),
),
migrations.AddField(
model_name='historicalcitation',
name='title_for_sort',
field=models.CharField(max_length=2000, null=True, blank=True),
),
migrations.AlterField(
model_name='authority',
name='classification_system',
field=models.CharField(default=b'SWP', choices=[(b'SWP', b'SPW'), (b'NEU', b'Neu'), (b'MW', b'MW'), (b'SHOT', b'SHOT'), (b'SAC', b'SAC')], max_length=4, blank=True, help_text=b'Specifies the classification system that is the source of the authority. Used to group resources by the Classification system. The system used currently is the Weldon System. All the other ones are for reference or archival purposes only.', null=True),
),
migrations.AlterField(
model_name='citation',
name='title',
field=models.CharField(help_text=b"The name to be used to identify the resource. For reviews that traditionally have no title, this should be added as something like '[Review of Title (Year) by Author]'.", max_length=2000, blank=True),
),
migrations.AlterField(
model_name='historicalauthority',
name='classification_system',
field=models.CharField(default=b'SWP', choices=[(b'SWP', b'SPW'), (b'NEU', b'Neu'), (b'MW', b'MW'), (b'SHOT', b'SHOT'), (b'SAC', b'SAC')], max_length=4, blank=True, help_text=b'Specifies the classification system that is the source of the authority. Used to group resources by the Classification system. The system used currently is the Weldon System. All the other ones are for reference or archival purposes only.', null=True),
),
migrations.AlterField(
model_name='historicalcitation',
name='title',
field=models.CharField(help_text=b"The name to be used to identify the resource. For reviews that traditionally have no title, this should be added as something like '[Review of Title (Year) by Author]'.", max_length=2000, blank=True),
),
migrations.AlterField(
model_name='historicalperson',
name='classification_system',
field=models.CharField(default=b'SWP', choices=[(b'SWP', b'SPW'), (b'NEU', b'Neu'), (b'MW', b'MW'), (b'SHOT', b'SHOT'), (b'SAC', b'SAC')], max_length=4, blank=True, help_text=b'Specifies the classification system that is the source of the authority. Used to group resources by the Classification system. The system used currently is the Weldon System. All the other ones are for reference or archival purposes only.', null=True),
),
]
| 60.94 | 441 | 0.658352 | 406 | 3,047 | 4.857143 | 0.229064 | 0.091278 | 0.070994 | 0.073529 | 0.884381 | 0.848884 | 0.839249 | 0.839249 | 0.839249 | 0.839249 | 0 | 0.015152 | 0.220217 | 3,047 | 49 | 442 | 62.183673 | 0.814815 | 0.006892 | 0 | 0.744186 | 0 | 0.116279 | 0.455357 | 0.028439 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.046512 | 0 | 0.116279 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
af4bc5c77068734eb2e17447bd005ad5a7905b58 | 65 | py | Python | mhkit/loads/__init__.py | Matthew-Boyd/MHKiT-Python | 016e9e67dbe1ac1ec24b3a6f8eb2771f73dfefa6 | [
"BSD-3-Clause"
] | 21 | 2020-04-20T19:10:03.000Z | 2022-03-30T18:46:03.000Z | mhkit/loads/__init__.py | Matthew-Boyd/MHKiT-Python | 016e9e67dbe1ac1ec24b3a6f8eb2771f73dfefa6 | [
"BSD-3-Clause"
] | 110 | 2020-03-06T22:11:08.000Z | 2022-03-25T20:28:36.000Z | mhkit/loads/__init__.py | Matthew-Boyd/MHKiT-Python | 016e9e67dbe1ac1ec24b3a6f8eb2771f73dfefa6 | [
"BSD-3-Clause"
] | 32 | 2020-03-05T20:33:10.000Z | 2022-03-24T20:19:34.000Z | from mhkit.loads import general
from mhkit.loads import graphics | 32.5 | 33 | 0.846154 | 10 | 65 | 5.5 | 0.6 | 0.327273 | 0.509091 | 0.727273 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.123077 | 65 | 2 | 33 | 32.5 | 0.964912 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 8 |
af9404044500050916efa095aa9202ba71d02614 | 130 | py | Python | file2.py | ktbyers/pynetb | e40272f40d140336a1650b54bd8a2df1b0f90da3 | [
"Apache-2.0"
] | 1 | 2018-11-08T09:20:41.000Z | 2018-11-08T09:20:41.000Z | file2.py | ktbyers/pynetb | e40272f40d140336a1650b54bd8a2df1b0f90da3 | [
"Apache-2.0"
] | null | null | null | file2.py | ktbyers/pynetb | e40272f40d140336a1650b54bd8a2df1b0f90da3 | [
"Apache-2.0"
] | null | null | null | for i in range(100):
print(i)
print("something")
print("something")
print("something")
print("something")
print("something")
| 14.444444 | 20 | 0.692308 | 17 | 130 | 5.294118 | 0.411765 | 0.777778 | 0.844444 | 1.244444 | 0.777778 | 0.777778 | 0.777778 | 0.777778 | 0 | 0 | 0 | 0.026087 | 0.115385 | 130 | 8 | 21 | 16.25 | 0.756522 | 0 | 0 | 0.714286 | 0 | 0 | 0.346154 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.857143 | 1 | 0 | 0 | null | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 10 |
af978021e044362dbe29e4d77b1c8ada3a5ed6ec | 14,051 | py | Python | tests/test_macro_parser.py | MZhoume/Terminality | 29d80fd56f466c9a1a3d961db423e04b62bbb257 | [
"MIT"
] | 68 | 2015-01-12T05:13:32.000Z | 2021-09-04T09:25:28.000Z | tests/test_macro_parser.py | MZhoume/Terminality | 29d80fd56f466c9a1a3d961db423e04b62bbb257 | [
"MIT"
] | 22 | 2015-01-29T05:54:22.000Z | 2019-02-06T11:26:18.000Z | tests/test_macro_parser.py | MZhoume/Terminality | 29d80fd56f466c9a1a3d961db423e04b62bbb257 | [
"MIT"
] | 13 | 2015-01-29T05:34:10.000Z | 2019-12-08T06:35:35.000Z | import sublime
import unittest
from unittest.mock import patch, MagicMock
from Terminality.macro import Macro
def file_content(region):
contents = """
Hello, World!
This might be a long file
In which use to test something
Blah blah blah...
"""
return contents[region.begin():region.end()]
MockView = MagicMock(spec=sublime.View)
MockView.substr = MagicMock(side_effect=file_content)
MockView.file_name.return_value = "path/to/file.ext"
MockWindow = MagicMock(spec=sublime.Window)
MockWindow.active_view.return_value = MockView
MockWindow.folders.return_value = ["another/path/to/directory",
"path/to"]
class TestMacroParser(unittest.TestCase):
@patch('sublime.active_window', return_value=MockWindow)
def test_none(self, active_window):
macros = {
"test": None,
"expected": None,
"required": None,
"macros": None
}
self.assertEqual(
Macro.parse_macro(
string=macros["test"],
custom_macros=macros["macros"],
required=macros["required"]
),
macros["expected"]
)
@patch('sublime.active_window', return_value=MockWindow)
def test_empty(self, active_window):
macros = {
"test": "",
"expected": "",
"required": [],
"macros": {}
}
self.assertEqual(
Macro.parse_macro(
string=macros["test"],
custom_macros=macros["macros"],
required=macros["required"]
),
macros["expected"]
)
@patch('sublime.active_window', return_value=MockWindow)
def test_predefined_macro1(self, active_window):
macros = {
"test": "",
"expected": "",
"required": ["file", "file_name"],
"macros": {}
}
self.assertEqual(
Macro.parse_macro(
string=macros["test"],
custom_macros=macros["macros"],
required=macros["required"]
),
macros["expected"]
)
@patch('sublime.active_window', return_value=MockWindow)
def test_predefined_macro2(self, active_window):
macros = {
"test": "$file_name",
"expected": None,
"required": ["required", "file_name"],
"macros": {}
}
self.assertEqual(
Macro.parse_macro(
string=macros["test"],
custom_macros=macros["macros"],
required=macros["required"]
),
macros["expected"]
)
@patch('sublime.active_window', return_value=MockWindow)
def test_predefined_macro3(self, active_window):
macros = {
"test": "$require ; $file",
"expected": " ; path/to/file.ext",
"required": [],
"macros": {}
}
self.assertEqual(
Macro.parse_macro(
string=macros["test"],
custom_macros=macros["macros"],
required=macros["required"]
),
macros["expected"]
)
@patch('sublime.active_window', return_value=MockWindow)
def test_predefined_macro4(self, active_window):
macros = {
"test": "$parent$file$file_name",
"expected": "path/topath/to/file.extfile.ext",
"required": [],
"macros": {}
}
self.assertEqual(
Macro.parse_macro(
string=macros["test"],
custom_macros=macros["macros"],
required=macros["required"]
),
macros["expected"]
)
@patch('sublime.active_window', return_value=MockWindow)
def test_predefined_macro5(self, active_window):
macros = {
"test": "$working$$$working_project$$$project",
"expected": "path/to$path/to$another/path/to/directory",
"required": [],
"macros": {}
}
self.assertEqual(
Macro.parse_macro(
string=macros["test"],
custom_macros=macros["macros"],
required=macros["required"]
),
macros["expected"]
)
@patch('sublime.active_window', return_value=MockWindow)
def test_required_macro1(self, active_window):
macros = {
"test": "",
"expected": None,
"required": ["required"],
"macros": {}
}
self.assertEqual(
Macro.parse_macro(
string=macros["test"],
custom_macros=macros["macros"],
required=macros["required"]
),
macros["expected"]
)
@patch('sublime.active_window', return_value=MockWindow)
def test_required_macro2(self, active_window):
macros = {
"test": "",
"expected": None,
"required": ["required"],
"macros": {
"required": []
}
}
self.assertEqual(
Macro.parse_macro(
string=macros["test"],
custom_macros=macros["macros"],
required=macros["required"]
),
macros["expected"]
)
@patch('sublime.active_window', return_value=MockWindow)
def test_required_macro3(self, active_window):
macros = {
"test": "",
"expected": None,
"required": ["required"],
"macros": {
"required": [
1,
[1, 2],
None,
[None, None]
]
}
}
self.assertEqual(
Macro.parse_macro(
string=macros["test"],
custom_macros=macros["macros"],
required=macros["required"]
),
macros["expected"]
)
@patch('sublime.active_window', return_value=MockWindow)
def test_required_macro4(self, active_window):
macros = {
"test": "",
"expected": "",
"required": ["required"],
"macros": {
"required": [
1,
[1, 2],
None,
[None, None],
"macro_output"
]
}
}
self.assertEqual(
Macro.parse_macro(
string=macros["test"],
custom_macros=macros["macros"],
required=macros["required"]
),
macros["expected"]
)
@patch('sublime.active_window', return_value=MockWindow)
def test_required_macro5(self, active_window):
macros = {
"test": "$required",
"expected": "",
"required": [],
"macros": {
"required": [
1,
[1, 2],
None,
[None, None]
]
}
}
self.assertEqual(
Macro.parse_macro(
string=macros["test"],
custom_macros=macros["macros"],
required=macros["required"]
),
macros["expected"]
)
@patch('sublime.active_window', return_value=MockWindow)
def test_required_macro6(self, active_window):
macros = {
"test": "$selection",
"expected": "",
"required": [],
"macros": {}
}
self.assertEqual(
Macro.parse_macro(
string=macros["test"],
custom_macros=macros["macros"],
required=macros["required"]
),
macros["expected"]
)
@patch('sublime.active_window', return_value=MockWindow)
def test_required_macro7(self, active_window):
macros = {
"test": "$selection",
"expected": None,
"required": ["selection"],
"macros": {}
}
self.assertEqual(
Macro.parse_macro(
string=macros["test"],
custom_macros=macros["macros"],
required=macros["required"]
),
macros["expected"]
)
@patch('sublime.active_window', return_value=MockWindow)
def test_required_macro8(self, active_window):
MockView.sel.return_value = [sublime.Region(5, 10)]
macros = {
"test": "$selection",
"expected": "Hello",
"required": [],
"macros": {}
}
self.assertEqual(
Macro.parse_macro(
string=macros["test"],
custom_macros=macros["macros"],
required=macros["required"]
),
macros["expected"]
)
@patch('sublime.active_window', return_value=MockWindow)
def test_required_macro9(self, active_window):
MockView.sel.return_value = [sublime.Region(5, 10)]
macros = {
"test": "$selection",
"expected": "Hello",
"required": ["selection"],
"macros": {}
}
self.assertEqual(
Macro.parse_macro(
string=macros["test"],
custom_macros=macros["macros"],
required=macros["required"]
),
macros["expected"]
)
@patch('sublime.active_window', return_value=MockWindow)
def test_required_macro10(self, active_window):
macros = {
"test": "",
"expected": None,
"required": [""],
"macros": {}
}
self.assertEqual(
Macro.parse_macro(
string=macros["test"],
custom_macros=macros["macros"],
required=macros["required"]
),
macros["expected"]
)
@patch('sublime.active_window', return_value=MockWindow)
def test_recursion_macro(self, active_window):
macros = {
"test": "$required",
"expected": "",
"required": [],
"macros": {
"required": [
"$required"
]
}
}
self.assertEqual(
Macro.parse_macro(
string=macros["test"],
custom_macros=macros["macros"],
required=macros["required"]
),
macros["expected"]
)
@patch('sublime.active_window', return_value=MockWindow)
def test_recursion_macro2(self, active_window):
macros = {
"test": "$required",
"expected": "",
"required": [],
"macros": {
"required": [
"$required2"
],
"required2": [
"$required"
]
}
}
self.assertEqual(
Macro.parse_macro(
string=macros["test"],
custom_macros=macros["macros"],
required=macros["required"]
),
macros["expected"]
)
@patch('sublime.active_window', return_value=MockWindow)
def test_recursion_macro3(self, active_window):
macros = {
"test": "$required$required2",
"expected": "OutputOutput",
"required": [],
"macros": {
"required": [
"$required2",
"Output"
],
"required2": [
"$required"
]
}
}
self.assertEqual(
Macro.parse_macro(
string=macros["test"],
custom_macros=macros["macros"],
required=macros["required"]
),
macros["expected"]
)
@patch('sublime.active_window', return_value=MockWindow)
def test_substring_macro(self, active_window):
macros = {
"test": "$custom;$custom2;$custom3;$custom4",
"expected": ".ext;.ext;.ext;.ext",
"required": [],
"macros": {
"custom": [
"$file",
["-4:"]
],
"custom2": [
"$file_name",
["-4:"]
],
"custom3": [
["$file", "-4:"]
],
"custom4": [
["$file_name", "-4:"]
]
}
}
self.assertEqual(
Macro.parse_macro(
string=macros["test"],
custom_macros=macros["macros"],
required=macros["required"]
),
macros["expected"]
)
@patch('sublime.active_window', return_value=MockWindow)
def test_regex_macro(self, active_window):
macros = {
"test": "$custom;$custom2;$custom3;$custom4",
"expected": ".ext;.ext;.ext;.ext",
"required": [],
"macros": {
"custom": [
"$file",
["\\.\\w+$"]
],
"custom2": [
"$file_name",
["\\.\\w+$"]
],
"custom3": [
["$file", "\\.\\w+$"]
],
"custom4": [
["$file_name", "\\.\\w+$"]
]
}
}
self.assertEqual(
Macro.parse_macro(
string=macros["test"],
custom_macros=macros["macros"],
required=macros["required"]
),
macros["expected"]
)
| 28.158317 | 68 | 0.448723 | 1,038 | 14,051 | 5.908478 | 0.090559 | 0.139247 | 0.143486 | 0.086092 | 0.843144 | 0.838904 | 0.805805 | 0.774499 | 0.768303 | 0.759824 | 0 | 0.006619 | 0.419401 | 14,051 | 498 | 69 | 28.214859 | 0.745158 | 0 | 0 | 0.713647 | 0 | 0 | 0.180058 | 0.048751 | 0 | 0 | 0 | 0 | 0.049217 | 1 | 0.051454 | false | 0 | 0.008949 | 0 | 0.064877 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
a54fc204222be8e6cadd88dd6a62315022c244f0 | 6,441 | py | Python | src/mailtorpedo/tests/reader.py | pptx704/torpedo | f35e66b571f07d5d3553434da25cb29e05a1a6fb | [
"MIT"
] | 16 | 2021-07-09T16:39:47.000Z | 2021-12-26T20:29:18.000Z | src/mailtorpedo/tests/reader.py | pptx704/torpedo | f35e66b571f07d5d3553434da25cb29e05a1a6fb | [
"MIT"
] | null | null | null | src/mailtorpedo/tests/reader.py | pptx704/torpedo | f35e66b571f07d5d3553434da25cb29e05a1a6fb | [
"MIT"
] | 2 | 2021-07-09T17:58:25.000Z | 2021-10-01T20:21:45.000Z | import unittest
from os import path
from ..reader import (
CSVReader,
ExcelReader
)
class CSVReaderTest(unittest.TestCase):
def setUp(self):
self.csv_reader = CSVReader(path.join(path.dirname(path.abspath(__file__)), 'files/test_csv_1000.csv'), "Email")
self.tsv_reader = CSVReader(path.join(path.dirname(path.abspath(__file__)), 'files/test_tsv_1000.txt'), "Email")
self.csv_dict = self.csv_reader.parsed_dict()
self.tsv_dict = self.tsv_reader.parsed_dict()
def test_header_csv_reader(self):
self.assertEqual(self.csv_reader.delimiter, ',')
self.assertEqual(self.csv_reader.headers, ['Name', 'Age', 'Email', 'Username', 'Rank'])
def test_header_tsv_reader(self):
self.assertEqual(self.tsv_reader.delimiter, '\t')
self.assertEqual(self.tsv_reader.headers, ['Name', 'Age', 'Email', 'Username', 'Rank'])
def test_parse_csv_dict(self):
self.assertDictEqual(self.csv_dict[0], {'Name':'da211f', 'Age':'26', 'Email':'da211f@example.com', 'Username':'43d49f95', 'Rank':'1'})
self.assertDictEqual(self.csv_dict[108], {'Name':'8564a9', 'Age':'32', 'Email':'8564a9@example.com', 'Username':'52186932', 'Rank':'4'})
self.assertDictEqual(self.csv_dict[255], {'Name':'2bada9', 'Age':'34', 'Email':'2bada9@example.com', 'Username':'0059152e', 'Rank':'9'})
self.assertDictEqual(self.csv_dict[292], {'Name':'98eacf', 'Age':'25', 'Email':'98eacf@example.com', 'Username':'854070bd', 'Rank':'10'})
def test_parse_tsv_dict(self):
self.assertDictEqual(self.tsv_dict[14], {'Name':'6c636f', 'Age':'23', 'Email':'6c636f@example.com', 'Username':'36da3434', 'Rank':'24'})
self.assertDictEqual(self.tsv_dict[78], {'Name':'2d004b', 'Age':'25', 'Email':'2d004b@example.com', 'Username':'c855e96b', 'Rank':'42'})
self.assertDictEqual(self.tsv_dict[636], {'Name':'26763e', 'Age':'20', 'Email':'26763e@example.com', 'Username':'46fa3283', 'Rank':'44'})
self.assertDictEqual(self.tsv_dict[897], {'Name':'70f60b', 'Age':'22', 'Email':'70f60b@example.com', 'Username':'fbc12372', 'Rank':'22'})
def test_csv_header_error(self):
reader = CSVReader(path.join(path.dirname(path.abspath(__file__)), 'files/test_csv_1000.csv'), "Random")
with self.assertRaises(ValueError) as context:
reader.parsed_dict()
self.assertTrue("No column with header" in str(context.exception))
def test_tsv_header_error(self):
reader = CSVReader(path.join(path.dirname(path.abspath(__file__)), 'files/test_tsv_1000.txt'), "Random")
with self.assertRaises(ValueError) as context:
reader.parsed_dict()
self.assertTrue("No column with header" in str(context.exception))
class ExcelReaderTest(unittest.TestCase):
def setUp(self):
self.excel_reader_sheet1 = ExcelReader(path.join(path.dirname(path.abspath(__file__)), 'files/test_excel_1000.xlsx'), 'Email', sheet=0)
self.excel_reader_sheet2 = ExcelReader(path.join(path.dirname(path.abspath(__file__)), 'files/test_excel_1000.xlsx'), 'Email', sheet=1)
self.sheet1_dict = self.excel_reader_sheet1.parsed_dict()
self.sheet2_dict = self.excel_reader_sheet2.parsed_dict()
def test_loaded_sheet(self):
self.assertEqual(self.excel_reader_sheet1.sheet.title, "test_csv_1000")
self.assertEqual(self.excel_reader_sheet2.sheet.title, "test_tsv_1000")
def test_load_sheet_by_name(self):
excel_reader_sheet1 = ExcelReader(path.join(path.dirname(path.abspath(__file__)), 'files/test_excel_1000.xlsx'), 'Email', sheet="test_csv_1000")
excel_reader_sheet2 = ExcelReader(path.join(path.dirname(path.abspath(__file__)), 'files/test_excel_1000.xlsx'), 'Email', sheet="test_tsv_1000")
self.assertEqual(excel_reader_sheet1.sheet.title, "test_csv_1000")
self.assertEqual(excel_reader_sheet2.sheet.title, "test_tsv_1000")
def test_check_headers(self):
self.assertEqual(self.excel_reader_sheet1.headers, ['Name', 'Age', 'Email', 'Username', 'Rank'])
self.assertEqual(self.excel_reader_sheet2.headers, ['Name', 'Age', 'Email', 'Username', 'Rank'])
def test_parse_sheet1(self):
self.assertDictEqual(self.sheet1_dict[0], {'Name':'da211f', 'Age':'26', 'Email':'da211f@example.com', 'Username':'43d49f95', 'Rank':'1'})
self.assertDictEqual(self.sheet1_dict[108], {'Name':'8564a9', 'Age':'32', 'Email':'8564a9@example.com', 'Username':'52186932', 'Rank':'4'})
self.assertDictEqual(self.sheet1_dict[255], {'Name':'2bada9', 'Age':'34', 'Email':'2bada9@example.com', 'Username':'0059152e', 'Rank':'9'})
self.assertDictEqual(self.sheet1_dict[292], {'Name':'98eacf', 'Age':'25', 'Email':'98eacf@example.com', 'Username':'854070bd', 'Rank':'10'})
self.assertDictEqual(self.sheet1_dict[685], {'Name':'73014f', 'Age':'21', 'Email':'73014f@example.com', 'Username':'dc1202b0', 'Rank':'9'})
def test_parse_sheet2(self):
self.assertDictEqual(self.sheet2_dict[14], {'Name':'6c636f', 'Age':'23', 'Email':'6c636f@example.com', 'Username':'36da3434', 'Rank':'24'})
self.assertDictEqual(self.sheet2_dict[78], {'Name':'2d004b', 'Age':'25', 'Email':'2d004b@example.com', 'Username':'c855e96b', 'Rank':'42'})
self.assertDictEqual(self.sheet2_dict[636], {'Name':'26763e', 'Age':'20', 'Email':'26763e@example.com', 'Username':'46fa3283', 'Rank':'44'})
self.assertDictEqual(self.sheet2_dict[897], {'Name':'70f60b', 'Age':'22', 'Email':'70f60b@example.com', 'Username':'fbc12372', 'Rank':'22'})
self.assertDictEqual(self.sheet2_dict[945], {'Name':'df2aff', 'Age':'19', 'Email':'df2aff@example.com', 'Username':'a4b5f7e4', 'Rank':'28'})
def test_excel_sheet1_header_error(self):
reader = ExcelReader(path.join(path.dirname(path.abspath(__file__)), 'files/test_excel_1000.xlsx'), 'Random', sheet=0)
with self.assertRaises(ValueError) as context:
reader.parsed_dict()
self.assertTrue("No column with header" in str(context.exception))
def test_excel_sheet2_header_error(self):
reader = ExcelReader(path.join(path.dirname(path.abspath(__file__)), 'files/test_excel_1000.xlsx'), 'Random', sheet=1)
with self.assertRaises(ValueError) as context:
reader.parsed_dict()
self.assertTrue("No column with header" in str(context.exception)) | 66.402062 | 152 | 0.673343 | 817 | 6,441 | 5.097919 | 0.135863 | 0.082113 | 0.0994 | 0.045618 | 0.855462 | 0.763025 | 0.731573 | 0.716447 | 0.716447 | 0.683794 | 0 | 0.079511 | 0.136935 | 6,441 | 97 | 153 | 66.402062 | 0.669725 | 0 | 0 | 0.181818 | 0 | 0 | 0.253958 | 0.038497 | 0 | 0 | 0 | 0 | 0.467532 | 1 | 0.194805 | false | 0 | 0.038961 | 0 | 0.25974 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
3c0ba499c5e1f72a210d5d45632525bcb33cd02d | 1,183 | py | Python | dbExample.py | wholesomegarden/WhatsappReminder | c6814c28b78738e36f2a82df65c4bc6714ce68da | [
"MIT"
] | 1 | 2021-05-04T10:19:51.000Z | 2021-05-04T10:19:51.000Z | dbExample.py | wholesomegarden/WhatsappReminder | c6814c28b78738e36f2a82df65c4bc6714ce68da | [
"MIT"
] | null | null | null | dbExample.py | wholesomegarden/WhatsappReminder | c6814c28b78738e36f2a82df65c4bc6714ce68da | [
"MIT"
] | null | null | null | {'masters': ['972512170493', '972547932000'], 'system': ['972512170493', '972543610404'], 'users': {}, 'groups': {}, 'id': '972547932000-1610379075@g.us', 'lastBackup': 1611071801.4876792, 'init': 1611071653.7335632, 'backupInterval': 0, 'backupDelay': 3, 'lastBackupServices': 0, 'servicesDB': {'Echo': {'dbID': '972512170493-1610802351@g.us'}, 'Danilator': {'dbID': '972512170493-1610802360@g.us'}, 'Reminders': {'dbID': '972512170493-1610802365@g.us'}, 'Music': {'dbID': '972512170493-1610802370@g.us'}, 'Master': {'dbID': '972512170493-1610965551@g.us'}, 'Experimental': {'dbID': '972512170493-1611059017@g.us'}}, 'availableChats': {'Master': {'972512170493-1611068831@g.us': 'https://chat.whatsapp.com/GhTABLFn3Aq18MI89MFBU8', '972512170493-1611071667@g.us': 'https://chat.whatsapp.com/LGABshra2Wd8rpZ8AduhuX'}, 'Music': {'972512170493-1611071128@g.us': 'https://chat.whatsapp.com/G3VQkKSrsuZJ3OiRz3Iof9', '972512170493-1611071137@g.us': 'https://chat.whatsapp.com/JN4juvGVYbbLVOoehExtTY'}, 'Experimental': {'972512170493-1611059125@g.us': 'https://chat.whatsapp.com/GIUwJiF3iCg1vioSHkkkQ8', '972512170493-1611059200@g.us': 'https://chat.whatsapp.com/IZXOC41bg112sKwE5UcoQO'}}}
| 591.5 | 1,182 | 0.727811 | 120 | 1,183 | 7.175 | 0.441667 | 0.045296 | 0.055749 | 0.083624 | 0.160279 | 0.160279 | 0 | 0 | 0 | 0 | 0 | 0.349911 | 0.048183 | 1,183 | 1 | 1,183 | 1,183 | 0.414742 | 0 | 0 | 0 | 0 | 0 | 0.759932 | 0.307692 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
5933a534f404434ff58e280b2f49597ddfff11bf | 35,628 | py | Python | transformers/examples/control/run_batch.py | jordiclive/ControlPrefixes | b647f68bf0c7e771f847c4a51e5f22af2ac95699 | [
"Apache-1.1"
] | 26 | 2021-11-23T09:01:32.000Z | 2022-03-25T11:34:15.000Z | transformers/examples/control/run_batch.py | jordiclive/ControlPrefixes | b647f68bf0c7e771f847c4a51e5f22af2ac95699 | [
"Apache-1.1"
] | 3 | 2021-12-10T17:43:23.000Z | 2022-03-18T11:37:19.000Z | transformers/examples/control/run_batch.py | jordiclive/ControlPrefixes | b647f68bf0c7e771f847c4a51e5f22af2ac95699 | [
"Apache-1.1"
] | 5 | 2021-12-19T03:22:08.000Z | 2022-02-14T04:41:04.000Z | import os
from itertools import product
batch_lst = [8, 10, 13]
epoch_lst = [3, 5, 10]
dropout_lst = [0.0, 0.2, 0.05]
gpt2_drop_lst = ['yes', 'no']
random_init_lst = ['yes', 'no']
format_lst = ['peek', 'cat']
mid_dim_lst = [20, 100, 200, 512]
lr_lst = [0.001, 0.0005, 0.0001, 0.00005]
# os.system("python train_e2e.py --init_random yes --submit yes")
total_experiment_count = 0
#
# for (format, mid_dim) in product(format_lst, mid_dim_lst):
# os.system("python train_e2e.py --format_mode {} --mid_dim {} --submit yes".format(format, mid_dim))
# total_experiment_count+= 1
# check for epoch&bsz on peek/cat.
# for (bsz, epoch, format) in product(batch_lst, epoch_lst, format_lst):
# os.system("python train_e2e.py --format_mode {} --bsz {} --epoch {} --submit yes".format(format, bsz, epoch))
# total_experiment_count += 1
#
# # dropout on peek/cat
# for (drop_out, use_dropout, format) in product(dropout_lst, gpt2_drop_lst, format_lst):
# os.system("python train_e2e.py --dropout {} --use_dropout {} --format_mode {} --submit yes".format(drop_out, use_dropout, format))
# total_experiment_count += 1
#
# # lr for peek/cat
# for (lr_rate, format) in product(lr_lst, format_lst):
# os.system("python train_e2e.py --learning_rate {} --format_mode {} --submit yes".format(lr_rate, format))
# total_experiment_count += 1
# init random for peek/cat to be compared with optim_prefix=yes
# for (init_random, format) in product(random_init_lst, format_lst):
# os.system("python train_e2e.py --init_random {} --format_mode {} --submit yes --notes low".format(init_random, format))
# total_experiment_count += 1
#
#
# for (drop_out, use_dropout) in product(dropout_lst, gpt2_drop_lst):
# os.system("python train_e2e.py --optim_prefix yes --submit yes --format_mode peek --dropout {} --use_dropout {} --notes low".format(drop_out, use_dropout))
# total_experiment_count += 1
##################### infix #######################################
# epoch_lst = [5, 20]
# for epoch in epoch_lst:
# os.system("python train_e2e.py --mode data2text --bsz 10 --epoch {} --format_mode infix --submit yes ".format(epoch))
# total_experiment_count += 1
#
#
# lr_lst = [0.001, 0.0005, 0.0001]
# for lr in lr_lst:
# os.system("python train_e2e.py --mode data2text --learning_rate {} --bsz 10 --epoch 10 --format_mode infix --submit yes".format(lr))
# total_experiment_count += 1
# epoch_lst = [5, 20, 10]
# for epoch in epoch_lst:
# os.system("python train_e2e.py --mode data2text --tuning_mode finetune --bsz 10 --epoch {} --submit yes".format(epoch))
# total_experiment_count += 1
#
# lr_lst = [0.001, 0.0005, 0.0001]
# for lr in lr_lst:
# os.system("python train_e2e.py --mode data2text --tuning_mode finetune --learning_rate {} --bsz 10 --epoch 10 --submit yes".format(lr))
# total_experiment_count += 1
################## EMBEDDING #######
# epoch_lst = [5, 20, 10]
# for epoch in epoch_lst:
# os.system("python train_e2e.py --mode data2text --prefix_mode embedding --bsz 10 --epoch {} --submit yes".format(epoch))
# os.system(
# "python train_e2e.py --mode data2text --format_mode peek --prefix_mode embedding --bsz 10 --epoch {} --submit yes".format(epoch))
# total_experiment_count += 2
#
# lr_lst = [0.001, 0.0005, 0.0001]
# for lr in lr_lst:
# os.system(
# "python train_e2e.py --mode data2text --prefix_mode embedding --bsz 10 --epoch 10 --learning_rate {} --submit yes".format(
# lr))
#
# os.system(
# "python train_e2e.py --mode data2text --format_mode peek --prefix_mode embedding --bsz 10 --epoch 10 --learning_rate {} --submit yes".format(
# lr))
# total_experiment_count += 2
#
#
# for (init_random, format) in product(random_init_lst, format_lst):
# os.system("python train_e2e.py --prefix_mode embedding --epoch 10 --init_random {} --format_mode {} "
# "--submit yes --notes low".format(init_random, format))
# total_experiment_count += 1
#
# # size of the mid layer.
# mid_dim_lst = [200, 512, 1000, 2000, 5000]
# for (format, mid_dim) in product(format_lst, mid_dim_lst):
# os.system("python train_e2e.py --format_mode {} --mid_dim {} --submit yes --prefix_mode embedding --epoch 10 ".format(format, mid_dim))
# total_experiment_count+= 1
#
# # use_optim verions yes and no.
# seqlen_lst = [1, 20, 5, 10]
# for (format, seqlen) in product(format_lst, seqlen_lst):
# os.system("python train_e2e.py --prefix_mode embedding --epoch 10 --optim_prefix yes --submit yes "
# "--format_mode cat --format_mode {} --preseqlen {}".format(format, seqlen))
# total_experiment_count += 1
################## cleaned composition training #######
# notes_lst = ['Type', 'customer', 'food', 'area', 'price'] # near
# for note in notes_lst:
# os.system("python train_e2e.py --epoch 10 --submit yes --notes {}".format(note))
# os.system("python train_e2e.py --optim_prefix yes --epoch 10 --preseqlen 1 --submit yes --notes {}".format(note))
# os.system("python train_e2e.py --optim_prefix yes --epoch 10 --preseqlen 10 --submit yes --notes {}".format(note))
# total_experiment_count += 3
#
###################Low data regime ##############
# notes_lst = ['Type', 'customer', 'food', 'area', 'price'] # near
# sent_len_lst = [10, 100, 1000, 5000, 10000]
# num_label_lst = list(range(10))
# for (label, sent_len) in product(num_label_lst, sent_len_lst):
# note = 'lowdata_{}_{}'.format(label, sent_len)
# # os.system("python train_e2e.py --epoch 10 --submit yes --notes {}".format(note))
# os.system("python train_e2e.py --tuning_mode finetune --epoch 10 --submit yes --notes {}".format(note))
# # os.system("python train_e2e.py --optim_prefix yes --epoch 10 --preseqlen 1 --submit yes --notes {}".format(note))
# # os.system("python train_e2e.py --optim_prefix yes --epoch 10 --preseqlen 10 --submit yes --notes {}".format(note))
# total_experiment_count += 1
# #################### low data for datasize=100 #########################
# # num_label_lst = list(range(3,10))
# num_label_lst = list(range(6))
# max_steps_lst = [100, 200, 300, 400, 500, 600]
# datasize_lst = [50, 200]
# for (label, max_steps, datasize) in product(num_label_lst, max_steps_lst, datasize_lst):
# note = 'lowdata_{}_{}'.format(label, datasize)
# eval_steps = max_steps // 10
# # os.system("python train_e2e.py --submit yes --max_steps {} --eval_steps {} --notes {}".format(max_steps, eval_steps, note))
#
#
# os.system("python train_e2e.py --optim_prefix yes --preseqlen 1 --submit yes --max_steps {} --eval_steps {}"
# " --notes {}".format(max_steps, eval_steps, note))
# os.system("python train_e2e.py --optim_prefix yes --preseqlen 5 --submit yes --max_steps {} --eval_steps {}"
# " --notes {}".format(max_steps, eval_steps, note))
# os.system("python train_e2e.py --optim_prefix yes --preseqlen 10 --submit yes --max_steps {} --eval_steps {}"
# " --notes {}".format(max_steps, eval_steps, note))
# os.system("python train_e2e.py --optim_prefix yes --preseqlen 20 --submit yes --max_steps {} --eval_steps {}"
# " --notes {}".format(max_steps, eval_steps, note))
#
# # os.system("python train_e2e.py --submit yes --tuning_mode finetune"
# # " --max_steps {} --eval_steps {} --notes {}".format(max_steps, eval_steps, note))
#
# total_experiment_count += 1
#
#
# print('submitted {} jobs in total'.format(total_experiment_count))
#################### low data for datasize=100 #########################
# num_label_lst = list(range(3,10))
# num_label_lst = range(5)
# max_steps_lst = [400, 600]
# datasize_lst = [100]
# mid_dim_lst = [600]
# for (label, max_steps, datasize, mid_dim) in product(num_label_lst, max_steps_lst, datasize_lst, mid_dim_lst):
# note = 'lowdata_{}_{}'.format(label, datasize)
# # eval_steps = max_steps // 10
# # warmup_steps_temp = max_steps // 4
# # os.system("python train_e2e.py --submit yes --max_steps {} --eval_steps {} --notes {}".format(max_steps, eval_steps, note))
#
# #python train_e2e.py --optim_prefix yes --preseqlen 1 --notes trlowdata_9_100 --max_steps 800 --eval_steps 50 --mid_dim 600 --submit yes
# # os.system("python train_e2e.py --optim_prefix yes --preseqlen 1 --submit yes --max_steps {} --eval_steps {}"
# # " --notes hap{} --mid_dim {} --warmup_steps {}".format(max_steps, 50, note, mid_dim, warmup_steps_temp))
# # os.system("python train_e2e.py --optim_prefix yes --preseqlen 3 --submit yes --max_steps {} --eval_steps {}"
# # " --notes hap{} --mid_dim {} --warmup_steps {}".format(max_steps, 50, note, mid_dim, warmup_steps_temp ))
#
#
# # os.system("python train_e2e.py --optim_prefix yes --preseqlen 10 --submit yes --max_steps {} --eval_steps {}"
# # " --notes {}".format(max_steps, eval_steps, note))
# # os.system("python train_e2e.py --optim_prefix yes --preseqlen 20 --submit yes --max_steps {} --eval_steps {}"
# # " --notes {}".format(max_steps, eval_steps, note))
#
# # os.system("python train_e2e.py --submit yes --tuning_mode finetune"
# # " --max_steps {} --eval_steps {} --notes {}".format(max_steps, eval_steps, note))
#
# command1 = "python train_e2e.py --optim_prefix yes --preseqlen 52 --notes tempnew{} --max_steps {} --seed 200 --submit yes ".format(note, max_steps)
# command2 = "python train_e2e.py --optim_prefix yes --preseqlen 52 --notes tempnew{} --max_steps {} --seed 101 --submit yes ".format(note, max_steps)
#
# os.system(command1)
# os.system(command2)
#
#
# total_experiment_count += 2
############################################################################
###################### FOR 100 ####################################
# total_experiment_count = 0
# num_label_lst = list(range(5))
# max_steps_lst = [600, 200, 400]
# prompt_lst = ['summarize', 'table-to-text:']
# random_seed_lst = [200, 9]
# # for (label, max_steps, seed, prompt) in product(num_label_lst, max_steps_lst, random_seed_lst, prompt_lst):
# # note = 'Alowdata_{}_{}'.format(label, 100)
# # command1 = "python train_e2e.py --optim_prefix yes --preseqlen 51 --notes {} --max_steps {} --seed {} " \
# # "--submit yes --lowdata_token {} --warmup_steps 0".format(note, max_steps, seed, prompt )
# # print(command1)
# # os.system(command1)
# # total_experiment_count += 1
# # print('submitted {} jobs in total'.format(total_experiment_count))
#
#
# # set the seed to 400 for finetune.
# total_experiment_count = 0
# max_steps_lst = [100]
# for (label, max_steps, seed, prompt) in product(num_label_lst, max_steps_lst, random_seed_lst, prompt_lst):
# note = 'Alowdata_{}_{}'.format(label, 100)
# command1 = "python train_e2e.py --optim_prefix yes --preseqlen 51 --notes {} --max_steps {} --seed {} " \
# "--submit yes --lowdata_token {} --warmup_steps 0 --tuning_mode finetune".format(note, max_steps, seed, prompt)
# print(command1)
# os.system(command1)
# total_experiment_count += 1
# print('submitted {} jobs in total'.format(total_experiment_count))
############################################################################
###################### FOR 10 ####################################
# total_experiment_count = 0
# num_label_lst = list(range(5))
# max_steps_lst = [600, 200, 400]
# prompt_lst = ['summarize', 'table-to-text:']
# random_seed_lst = [200, 9]
# for (label, max_steps, seed, prompt) in product(num_label_lst, max_steps_lst, random_seed_lst, prompt_lst):
# note = 'Blowdata_{}_{}'.format(label, 10)
# command1 = "python train_e2e.py --optim_prefix yes --preseqlen 51 --notes {} --max_steps {} --seed {} " \
# "--submit yes --lowdata_token {} --warmup_steps 0".format(note, max_steps, seed, prompt )
# print(command1)
# os.system(command1)
# total_experiment_count += 1
# print('submitted {} jobs in total'.format(total_experiment_count))
#
#
# # set the seed to 400 for finetune.
# total_experiment_count = 0
# max_steps_lst = [100, 200]
# for (label, max_steps, seed, prompt) in product(num_label_lst, max_steps_lst, random_seed_lst, prompt_lst):
# note = 'Blowdata_{}_{}'.format(label, 10)
# command1 = "python train_e2e.py --optim_prefix yes --preseqlen 51 --notes {} --max_steps {} --seed {} " \
# "--submit yes --lowdata_token {} --warmup_steps 0 --tuning_mode finetune".format(note, max_steps, seed, prompt)
# print(command1)
# os.system(command1)
# total_experiment_count += 1
# print('submitted {} jobs in total'.format(total_experiment_count))
############################################################################
###################### FOR 50 ####################################
# total_experiment_count = 0
# num_label_lst = list(range(5))
# max_steps_lst = [600, 200, 400]
# prompt_lst = ['summarize', 'table-to-text:']
# random_seed_lst = [200, 9]
# for (label, max_steps, seed, prompt) in product(num_label_lst, max_steps_lst, random_seed_lst, prompt_lst):
# note = 'Clowdata_{}_{}'.format(label, 50)
# command1 = "python train_e2e.py --optim_prefix yes --preseqlen 51 --notes {} --max_steps {} --seed {} " \
# "--submit yes --lowdata_token {} --warmup_steps 0".format(note, max_steps, seed, prompt )
# print(command1)
# os.system(command1)
# total_experiment_count += 1
# print('submitted {} jobs in total'.format(total_experiment_count))
#
#
# # set the seed to 400 for finetune.
# total_experiment_count = 0
# max_steps_lst = [100, 200]
# for (label, max_steps, seed, prompt) in product(num_label_lst, max_steps_lst, random_seed_lst, prompt_lst):
# note = 'Clowdata_{}_{}'.format(label, 50)
# command1 = "python train_e2e.py --optim_prefix yes --preseqlen 51 --notes {} --max_steps {} --seed {} " \
# "--submit yes --lowdata_token {} --warmup_steps 0 --tuning_mode finetune".format(note, max_steps, seed, prompt)
# print(command1)
# os.system(command1)
# total_experiment_count += 1
# print('submitted {} jobs in total'.format(total_experiment_count))
############################################################################
###################### FOR 200 ####################################
# total_experiment_count = 0
# num_label_lst = list(range(5))
# max_steps_lst = [600, 200, 400]
# prompt_lst = ['summarize', 'table-to-text:']
# random_seed_lst = [200, 9]
# for (label, max_steps, seed, prompt) in product(num_label_lst, max_steps_lst, random_seed_lst, prompt_lst):
# note = 'Dlowdata_{}_{}'.format(label, 200)
# command1 = "python train_e2e.py --optim_prefix yes --preseqlen 51 --notes {} --max_steps {} --seed {} " \
# "--submit yes --lowdata_token {} --warmup_steps 0".format(note, max_steps, seed, prompt )
# print(command1)
# os.system(command1)
# total_experiment_count += 1
# print('submitted {} jobs in total'.format(total_experiment_count))
#
#
# # set the seed to 400 for finetune.
# total_experiment_count = 0
# max_steps_lst = [200, 400]
# for (label, max_steps, seed, prompt) in product(num_label_lst, max_steps_lst, random_seed_lst, prompt_lst):
# note = 'Dlowdata_{}_{}'.format(label, 200)
# command1 = "python train_e2e.py --optim_prefix yes --preseqlen 51 --notes {} --max_steps {} --seed {} " \
# "--submit yes --lowdata_token {} --warmup_steps 0 --tuning_mode finetune".format(note, max_steps, seed, prompt)
# print(command1)
# os.system(command1)
# total_experiment_count += 1
# print('submitted {} jobs in total'.format(total_experiment_count))
############################################################################
###################### FOR 500 ####################################
# total_experiment_count = 0
# num_label_lst = list(range(5))
# max_steps_lst = [600, 200, 400]
# prompt_lst = ['summarize', 'table-to-text:']
# random_seed_lst = [200, 9]
# for (label, max_steps, seed, prompt) in product(num_label_lst, max_steps_lst, random_seed_lst, prompt_lst):
# note = 'Elowdata_{}_{}'.format(label, 500)
# command1 = "python train_e2e.py --optim_prefix yes --preseqlen 51 --notes {} --max_steps {} --seed {} " \
# "--submit yes --lowdata_token {} --warmup_steps 0".format(note, max_steps, seed, prompt )
# print(command1)
# os.system(command1)
# total_experiment_count += 1
# print('submitted {} jobs in total'.format(total_experiment_count))
#
#
# # set the seed to 400 for finetune.
# total_experiment_count = 0
# max_steps_lst = [200, 400]
# for (label, max_steps, seed, prompt) in product(num_label_lst, max_steps_lst, random_seed_lst, prompt_lst):
# note = 'Elowdata_{}_{}'.format(label, 500)
# command1 = "python train_e2e.py --optim_prefix yes --preseqlen 51 --notes {} --max_steps {} --seed {} " \
# "--submit yes --lowdata_token {} --warmup_steps 0 --tuning_mode finetune".format(note, max_steps, seed, prompt)
# print(command1)
# os.system(command1)
# total_experiment_count += 1
# print('submitted {} jobs in total'.format(total_experiment_count))
############################ FOR 100 without initialization trick. #####################################################
# total_experiment_count = 0
# num_label_lst = list(range(5))
# max_steps_lst = [600, 200, 400]
# preseqlen_lst = [1, 6]
# random_seed_lst = [200, 9]
# for (label, max_steps, seed, preseqlen) in product(num_label_lst, max_steps_lst, random_seed_lst, preseqlen_lst):
# note = 'Flowdata_{}_{}'.format(label, 100)
# command1 = "python train_e2e.py --optim_prefix yes --preseqlen {} --notes {} --max_steps {} --seed {} " \
# "--submit yes --warmup_steps 0 --use_lowdata_token no ".format(preseqlen, note, max_steps, seed )
# print(command1)
# os.system(command1)
# total_experiment_count += 1
# print('submitted {} jobs in total'.format(total_experiment_count))
############################ Ablation Study with Embeddings #################################
# total_experiment_count = 0
# preseqlen_lst = [1, 5, 10, 20]
# reparam_method_lst = ['MLP', 'Emb']
# for (parametrize_emb, preseqlen) in product(reparam_method_lst, preseqlen_lst):
# command1 = "python train_e2e.py --optim_prefix yes --preseqlen {} --prefix_mode embedding " \
# " --submit yes --parametrize_emb {} --epoch 10 ".format(preseqlen, parametrize_emb)
# print(command1)
# os.system(command1)
# total_experiment_count += 1
# print('submitted {} jobs in total'.format(total_experiment_count))
#
# total_experiment_count = 0
# mid_dim_lst = [256, 1024]
# for (mid_dim, preseqlen) in product(mid_dim_lst, preseqlen_lst):
# command1 = "python train_e2e.py --optim_prefix yes --preseqlen {} --prefix_mode embedding " \
# " --submit yes --mid_dim {} --epoch 10 ".format(preseqlen, mid_dim)
# print(command1)
# os.system(command1)
# total_experiment_count += 1
# print('submitted {} jobs in total'.format(total_experiment_count))
########################### INFIX v.s. Prefix ##############################
# total_experiment_count = 0
# preseqlen_lst = [1, 5, 10, 20]
# format_lst = ['infix']
# for (format, preseqlen) in product(format_lst, preseqlen_lst):
# command1 = "python train_e2e.py --optim_prefix yes --preseqlen {} " \
# " --submit yes --epoch 10 --format_mode {} ".format(preseqlen, format)
# print(command1)
# os.system(command1)
# total_experiment_count += 1
# print('submitted {} jobs in total'.format(total_experiment_count))
########################### WebNLG-medium debugged ##############################
# total_experiment_count = 0
# preseqlen_lst = [5, 20, 30, 10]
# lr_lst = [0.00001, 0.00003, 0.00005]
# epoch_lst = [5, 10]
# for (epoch, preseqlen, lr) in product(epoch_lst, preseqlen_lst, lr_lst):
# if epoch == 10 and lr == 0.00001:
# continue
#
# command1 = "python train_e2e.py --optim_prefix yes --preseqlen {} " \
# " --submit yes --epoch {} --learning_rate {} --bsz 5 --mode webnlg --notes earlystop3".format(preseqlen, epoch, lr)
# print(command1)
# os.system(command1)
# total_experiment_count += 1
# print('submitted {} jobs in total'.format(total_experiment_count))
########################### Xsum debugged ##############################
# total_experiment_count = 0
# preseqlen_lst = [40]
# lr_lst = [0.00003, 0.00005, 0.00008]
# grad_accumulation_lst = [10, 5, 3]
# epoch_lst = [5]
# for (grad_accumulation, preseqlen, lr) in product(grad_accumulation_lst, preseqlen_lst, lr_lst):
#
# command1 = "python train_e2e.py --optim_prefix yes --preseqlen {} " \
# " --submit yes --epoch 5 --learning_rate {} --gradient_accumulation_steps {} --bsz 2 " \
# " --mode xsum --notes newearlystop2 ".format(preseqlen, lr, grad_accumulation)
# print(command1)
# os.system(command1)
# total_experiment_count += 1
# print('submitted {} jobs in total'.format(total_experiment_count))
########################### E2E-medium debugged ##############################
# total_experiment_count = 0
# preseqlen_lst = [10, 20, 1, 5]
# lr_lst = [0.00001, 0.00003, 0.00005, 0.00008]
# epoch_lst = [5] # 10 already tried 10, todo try 5.
# for (preseqlen, lr, epoch) in product(preseqlen_lst, lr_lst, epoch_lst):
#
# command1 = "python train_e2e.py --optim_prefix yes --preseqlen {} " \
# " --submit yes --epoch {} --learning_rate {} --mode data2text --notes newearlystop2".format(preseqlen, epoch, lr)
# print(command1)
# os.system(command1)
# total_experiment_count += 1
# print('submitted {} jobs in total'.format(total_experiment_count))
########################## WebNLG-large debugged ##############################
# total_experiment_count = 0
# preseqlen_lst = [5, 20, 30, 10]
# lr_lst = [0.00003, 0.00005, 0.00008]
# epoch_lst = [5]
# for (epoch, preseqlen, lr) in product(epoch_lst, preseqlen_lst, lr_lst):
#
# command1 = "python train_e2e.py --optim_prefix yes --preseqlen {} " \
# " --submit yes --epoch {} --learning_rate {} --bsz 2 --gradient_accumulation_steps 3 --mode webnlg --notes large_earlystop4".format(preseqlen, epoch, lr)
# print(command1)
# os.system(command1)
# total_experiment_count += 1
# print('submitted {} jobs in total'.format(total_experiment_count))
########## TODO #############
########################## E2E-large debugged ##############################
# total_experiment_count = 0
# preseqlen_lst = [10, 20, 1, 5]
# lr_lst = [0.00001, 0.00003, 0.00005, 0.00008]
# epoch_lst = [5] # 10 already tried 10, todo try 5.
# for (preseqlen, lr, epoch) in product(preseqlen_lst, lr_lst, epoch_lst):
#
# command1 = "python train_e2e.py --optim_prefix yes --preseqlen {} " \
# " --submit yes --epoch {} --learning_rate {} --mode data2text --notes large_newearlystop3".format(preseqlen, epoch, lr)
# print(command1)
# os.system(command1)
# total_experiment_count += 1
# print('submitted {} jobs in total'.format(total_experiment_count))
########## TODO #############
########################## DART-medium debugged ##############################
# total_experiment_count = 0
# preseqlen_lst = [20, 30, 10, 40]
# lr_lst = [0.00008, 0.00003, 0.00005]
# epoch_lst = [5]
# for (epoch, preseqlen, lr) in product(epoch_lst, preseqlen_lst, lr_lst):
# command1 = "python train_e2e.py --optim_prefix yes --preseqlen {} " \
# " --submit yes --epoch {} --learning_rate {} --bsz 5 --mode triples --notes earlystop3".format(preseqlen, epoch, lr)
# print(command1)
# # os.system(command1)
# total_experiment_count += 1
# print('submitted {} jobs in total'.format(total_experiment_count))
########################## WebNLG-large debugged 2 DONE ##############################
# total_experiment_count = 0
# preseqlen_lst = [20, 30, 10]
# lr_lst = [0.00008, 0.00005, 0.00003]
# epoch_lst = [10]
# for (epoch, lr, preseqlen) in product(epoch_lst, lr_lst, preseqlen_lst):
#
# command1 = "python train_e2e.py --optim_prefix yes --preseqlen {} " \
# " --submit yes --epoch {} --learning_rate {} --bsz 2 --gradient_accumulation_steps 3 --mode webnlg --notes large_earlystop4".format(preseqlen, epoch, lr)
# print(command1)
# os.system(command1)
# total_experiment_count += 1
# print('submitted {} jobs in total'.format(total_experiment_count))
########################## WebNLG-medium full objective version... DONE ##############################
# total_experiment_count = 0
# preseqlen_lst = [20]
# lr_lst = [ 0.00005, 0.00008, 0.00003]
# objective_mode_lst = [0, 1, 2, 3, 4]
# epoch_lst = [10]
# for (epoch, lr, preseqlen, objective_mode) in product(epoch_lst, lr_lst, preseqlen_lst, objective_mode_lst):
#
# command1 = "python train_e2e.py --optim_prefix yes --preseqlen {} " \
# " --submit yes --epoch {} --learning_rate {} --bsz 5 --mode webnlg --notes earlystopA " \
# "--objective_mode {} ".format(preseqlen, epoch, lr, objective_mode)
# print(command1)
# os.system(command1)
# total_experiment_count += 1
# print('submitted {} jobs in total'.format(total_experiment_count))
############################################################################################
############################################################################################
########################### E2E-medium o=1 ##############################
# total_experiment_count = 0
# preseqlen_lst = [10, 20, 1, 3, 5]
# lr_lst = [0.00005]
# epoch_lst = [10, 5] # 10 already tried 10, todo try 5.
# for (preseqlen, lr, epoch) in product(preseqlen_lst, lr_lst, epoch_lst):
#
# command1 = "python train_e2e.py --optim_prefix yes --preseqlen {} " \
# " --submit yes --epoch {} --learning_rate {} --mode data2text " \
# " --objective_mode 1 ".format(preseqlen, epoch, lr)
# print(command1)
# os.system(command1)
# total_experiment_count += 1
# print('submitted {} jobs in total'.format(total_experiment_count))
#
# ########################### E2E-large o=1 ##############################
# total_experiment_count = 0
# preseqlen_lst = [10, 20, 1, 3, 5]
# lr_lst = [0.00005]
# epoch_lst = [10, 5] # 10 already tried 10, todo try 5.
# for (preseqlen, lr, epoch) in product(preseqlen_lst, lr_lst, epoch_lst):
#
# command1 = "python train_e2e.py --optim_prefix yes --preseqlen {} " \
# " --submit yes --epoch {} --learning_rate {} --mode data2text --notes large_earlystop5 --bsz 5 " \
# " --objective_mode 1 ".format(preseqlen, epoch, lr)
# print(command1)
# os.system(command1)
# total_experiment_count += 1
# print('submitted {} jobs in total'.format(total_experiment_count))
# ########################## DART-large o=1 ##############################
# total_experiment_count = 0
# preseqlen_lst = [40, 20, 30, 10]
# lr_lst = [0.00005, 0.00003]
# epoch_lst = [5]
# for (epoch, lr, preseqlen) in product(epoch_lst, lr_lst, preseqlen_lst):
#
# command1 = "python train_e2e.py --optim_prefix yes --preseqlen {} " \
# " --submit yes --epoch {} --learning_rate {} --bsz 2 --gradient_accumulation_steps 3" \
# " --mode triples --notes large_earlystop5 --objective_mode 1 ".format(preseqlen, epoch, lr)
# print(command1)
# os.system(command1)
# total_experiment_count += 1
# print('submitted {} jobs in total'.format(total_experiment_count))
########################## WebNLG-large o=1 ##############################
# total_experiment_count = 0
# preseqlen_lst = [20, 30, 10, 5]
# lr_lst = [0.00005, 0.00003]
# epoch_lst = [5]
# for (epoch, lr, preseqlen) in product(epoch_lst, lr_lst, preseqlen_lst):
#
# command1 = "python train_e2e.py --optim_prefix yes --preseqlen {} " \
# " --submit yes --epoch {} --learning_rate {} --bsz 2 --gradient_accumulation_steps 3" \
# " --mode webnlg --notes large_earlystop5 --objective_mode 1 ".format(preseqlen, epoch, lr)
# print(command1)
# os.system(command1)
# total_experiment_count += 1
# print('submitted {} jobs in total'.format(total_experiment_count))
# ########################### E2E-large o=1 (second tune) ##############################
# total_experiment_count = 0
# preseqlen_lst = [10, 1, 5]
# lr_lst = [0.00003, 0.00001]
# epoch_lst = [10, 5] # 10 already tried 10, todo try 5.
# for (preseqlen, lr, epoch) in product(preseqlen_lst, lr_lst, epoch_lst):
#
# command1 = "python train_e2e.py --optim_prefix yes --preseqlen {} " \
# " --submit yes --epoch {} --learning_rate {} --mode data2text --notes large_earlystopsmall --bsz 5 " \
# " --objective_mode 1 ".format(preseqlen, epoch, lr)
# print(command1)
# os.system(command1)
# total_experiment_count += 1
# print('submitted {} jobs in total'.format(total_experiment_count))
########################## WebNLG-large o=1 (second tune) ##############################
# total_experiment_count = 0
# preseqlen_lst = [20, 30, 10]
# lr_lst = [0.00001] #[0.00005,0.00008, 0.00003]
# epoch_lst = [5] # [10]
# for (epoch, lr, preseqlen) in product(epoch_lst, lr_lst, preseqlen_lst):
#
# command1 = "python train_e2e.py --optim_prefix yes --preseqlen {} " \
# " --submit yes --epoch {} --learning_rate {} --bsz 2 --gradient_accumulation_steps 3" \
# " --mode webnlg --notes large_earlystop5 --objective_mode 1 ".format(preseqlen, epoch, lr)
# print(command1)
# os.system(command1)
# total_experiment_count += 1
# print('submitted {} jobs in total'.format(total_experiment_count))
# ########################## DART-large o=1 (second tune) ##############################
# total_experiment_count = 0
# preseqlen_lst = [40, 20, 30]
# lr_lst = [0.00001] #[0.00001, 0.00003, 0.00005]
# epoch_lst = [5] #[10]
# for (epoch, lr, preseqlen) in product(epoch_lst, lr_lst, preseqlen_lst):
#
# command1 = "python train_e2e.py --optim_prefix yes --preseqlen {} " \
# " --submit yes --epoch {} --learning_rate {} --bsz 2 --gradient_accumulation_steps 3" \
# " --mode triples --notes large_earlystop5 --objective_mode 1 ".format(preseqlen, epoch, lr)
# print(command1)
# os.system(command1)
# total_experiment_count += 1
# print('submitted {} jobs in total'.format(total_experiment_count))
############################################################################
###################### FOR 100 ####################################
# total_experiment_count = 0
# num_label_lst = [4] #list(range(5))
# max_steps_lst = [600, 200, 400]
# prompt_lst = ['elephant', 'active'] #['keep', 'divide','banana', 'beautiful']#['elephant', 'active']#['summarize', 'table-to-text:'] #'debate'
# lr_lst = [0.00005]
# warmup_lst = [100]
# random_seed_lst = [200, 9]
# for (label, max_steps, seed, prompt, lr, ws) in product(num_label_lst, max_steps_lst, random_seed_lst, prompt_lst, lr_lst, warmup_lst):
# note = 'Alowdata_{}_{}'.format(label, 100)
# command1 = "python train_e2e.py --optim_prefix yes --preseqlen 51 --notes {} --max_steps {} --seed {} " \
# "--submit yes --lowdata_token {} --warmup_steps {} --objective_mode 0 --learning_rate {} ".format(note, max_steps, seed, prompt, ws, lr, )
# print(command1)
# # os.system(command1)
# total_experiment_count += 1
# print('submitted {} jobs in total'.format(total_experiment_count))
############################ FOR 100 without initialization trick. #####################################################
# total_experiment_count = 0
# num_label_lst = list(range(5))
# max_steps_lst = [600, 200, 400]
# preseqlen_lst = [1, 6]
# random_seed_lst = [200, 9]
# lr_lst = [0.00005, 0.00003]
# warmup_lst = [100, 0]
# for (label, max_steps, seed, preseqlen, lr, ws) in product(num_label_lst, max_steps_lst, random_seed_lst, preseqlen_lst, lr_lst, warmup_lst):
# note = 'Blowdata_{}_{}'.format(label, 100)
# command1 = "python train_e2e.py --optim_prefix yes --preseqlen {} --notes {} --max_steps {} --seed {} " \
# "--submit yes --warmup_steps {} --use_lowdata_token no --objective_mode 0 --learning_rate {} ".format(preseqlen, note, max_steps, seed, ws, lr)
# print(command1)
# os.system(command1)
# total_experiment_count += 1
# print('submitted {} jobs in total'.format(total_experiment_count))
########################### E2E-medium o=1 ##############################
# total_experiment_count = 0
# preseqlen_lst = [10, 20, 1, 5, 40]
# lr_lst = [0.00005, 0.00003, 0.00008]
# epoch_lst = [10, 5, 15]
# seed_lst = [101] #101] #22 # 9
# for (seed, preseqlen, lr, epoch) in product(seed_lst, preseqlen_lst, lr_lst, epoch_lst):
#
# if preseqlen != 1 and epoch == 15:
# continue
# command1 = "python train_e2e.py --optim_prefix yes --preseqlen {} " \
# " --submit yes --epoch {} --learning_rate {} --mode data2text " \
# " --objective_mode 1 --notes AAearlystop --seed {} ".format(preseqlen, epoch, lr, seed)
# print(command1)
# # os.system(command1)
# total_experiment_count += 1
# print('submitted {} jobs in total'.format(total_experiment_count))
########################### WebNLG-medium o=1 ##############################
# total_experiment_count = 0
# preseqlen_lst = [10, 20, 1, 5, 40]
# lr_lst = [0.00005, 0.00003, 0.00008]
# epoch_lst = [10, 5]
# seed_lst = [101]#[22] # 9
# for (seed, preseqlen, lr, epoch) in product(seed_lst, preseqlen_lst, lr_lst, epoch_lst):
#
# command1 = "python train_e2e.py --optim_prefix yes --preseqlen {} " \
# " --submit yes --epoch {} --learning_rate {} --mode webnlg " \
# " --objective_mode 1 --bsz 5 --notes AAearlystop --seed {} ".format(preseqlen, epoch, lr, seed)
# print(command1)
# os.system(command1)
# total_experiment_count += 1
# print('submitted {} jobs in total'.format(total_experiment_count))
########################### Triples-medium o=1 ##############################
# total_experiment_count = 0
# preseqlen_lst = [10, 20, 1, 5, 40]
# lr_lst = [0.00005, 0.00003, 0.00008]
# epoch_lst = [10, 5]
# seed_lst = [101]#9, 101, 22
# for (seed, preseqlen, lr, epoch) in product(seed_lst, preseqlen_lst, lr_lst, epoch_lst):
#
# command1 = "python train_e2e.py --optim_prefix yes --preseqlen {} " \
# " --submit yes --epoch {} --learning_rate {} --mode triples " \
# " --objective_mode 1 --bsz 5 --notes AAearlystop --seed {} ".format(preseqlen, epoch, lr, seed)
# print(command1)
# os.system(command1)
# total_experiment_count += 1
# print('submitted {} jobs in total'.format(total_experiment_count))
########################### WebNLG-medium o=0 ##############################
total_experiment_count = 0
preseqlen_lst = [10, 20, 1, 5, 40]
lr_lst = [0.00005, 0.00003, 0.00008]
epoch_lst = [10, 5]
seed_lst = [101]#[22] # 9
for (seed, preseqlen, lr, epoch) in product(seed_lst, preseqlen_lst, lr_lst, epoch_lst):
command1 = "python train_e2e.py --optim_prefix yes --preseqlen {} " \
" --submit yes --epoch {} --learning_rate {} --mode webnlg " \
" --objective_mode 0 --bsz 5 --notes AAearlystop --seed {} ".format(preseqlen, epoch, lr, seed)
print(command1)
os.system(command1)
total_experiment_count += 1
print('submitted {} jobs in total'.format(total_experiment_count)) | 47.002639 | 171 | 0.609043 | 4,533 | 35,628 | 4.546658 | 0.044342 | 0.091703 | 0.122271 | 0.058224 | 0.903008 | 0.87967 | 0.860116 | 0.849151 | 0.829452 | 0.810917 | 0 | 0.051071 | 0.171775 | 35,628 | 758 | 172 | 47.002639 | 0.647384 | 0.860503 | 0 | 0.083333 | 0 | 0 | 0.128052 | 0 | 0 | 0 | 0 | 0.001319 | 0 | 1 | 0 | false | 0 | 0.083333 | 0 | 0.083333 | 0.083333 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
5955bd866c063d91610834d421ec4783ca5a0429 | 4,961 | py | Python | tests/src/Diksha_TPD/TPD_Completion_percentage/check_with_time_periods.py | JalajaTR/cQube | 6bf58ab25f0c36709630987ab730bbd5d9192c03 | [
"MIT"
] | null | null | null | tests/src/Diksha_TPD/TPD_Completion_percentage/check_with_time_periods.py | JalajaTR/cQube | 6bf58ab25f0c36709630987ab730bbd5d9192c03 | [
"MIT"
] | 2 | 2022-02-01T00:55:12.000Z | 2022-03-29T22:29:09.000Z | tests/src/Diksha_TPD/TPD_Completion_percentage/check_with_time_periods.py | JalajaTR/cQube | 6bf58ab25f0c36709630987ab730bbd5d9192c03 | [
"MIT"
] | null | null | null | import os
import time
from selenium.webdriver.support.select import Select
from Data.parameters import Data
from get_dir import pwd
from reuse_func import GetData
class check_time_periods():
def __init__(self,driver):
self.driver = driver
def test_overall(self):
self.data = GetData()
self.p = pwd()
count = 0
self.driver.find_element_by_xpath(Data.hyper_link).click()
self.data.page_loading(self.driver)
timeseries = Select(self.driver.find_element_by_name(Data.timeperiods))
timeseries.select_by_visible_text(' Overall ')
self.data.page_loading(self.driver)
self.driver.find_element_by_id(Data.Download).click()
time.sleep(3)
self.filename = self.p.get_download_dir() + '/overall_data.csv'
self.data.page_loading(self.driver)
collnames = Select(self.driver.find_element_by_id(Data.coll_names))
counter = len(collnames.options) - 1
for i in range(len(collnames.options) - 5, len(collnames.options) - 1):
collnames.select_by_index(i)
self.data.page_loading(self.driver)
if os.path.isfile(self.filename) != True:
print('Over all csv file is not downloaded ')
count = count + 1
self.data.page_loading(self.driver)
os.remove(self.filename)
return counter, count
def test_last_day(self):
self.data = GetData()
self.p = pwd()
count = 0
self.driver.find_element_by_xpath(Data.hyper_link).click()
self.data.page_loading(self.driver)
timeseries = Select(self.driver.find_element_by_name(Data.timeperiods))
timeseries.select_by_visible_text(' Last Day ')
self.data.page_loading(self.driver)
self.driver.find_element_by_id(Data.Download).click()
time.sleep(3)
self.filename = self.p.get_download_dir() + '/overall_data.csv'
self.data.page_loading(self.driver)
collnames = Select(self.driver.find_element_by_id(Data.coll_names))
counter = len(collnames.options) - 1
for i in range(len(collnames.options) - 5, len(collnames.options) - 1):
collnames.select_by_index(i)
self.data.page_loading(self.driver)
if os.path.isfile(self.filename) != True:
print('last day csv file is not downloaded ')
count = count + 1
self.data.page_loading(self.driver)
os.remove(self.filename)
return counter, count
def test_last7_days(self):
self.data = GetData()
self.p = pwd()
count = 0
self.driver.find_element_by_xpath(Data.hyper_link).click()
self.data.page_loading(self.driver)
timeseries = Select(self.driver.find_element_by_name(Data.timeperiods))
timeseries.select_by_visible_text(' Last 7 Days ')
self.data.page_loading(self.driver)
self.driver.find_element_by_id(Data.Download).click()
time.sleep(3)
self.filename = self.p.get_download_dir() + '/overall_data.csv'
self.data.page_loading(self.driver)
collnames = Select(self.driver.find_element_by_id(Data.coll_names))
counter = len(collnames.options) - 1
for i in range(len(collnames.options) - 5, len(collnames.options) - 1):
collnames.select_by_index(i)
self.data.page_loading(self.driver)
if os.path.isfile(self.filename) != True:
print('Last 7 days csv file is not downloaded ')
count = count + 1
self.data.page_loading(self.driver)
os.remove(self.filename)
return counter, count
def test_last30_days(self):
self.data = GetData()
self.p = pwd()
count = 0
self.driver.find_element_by_xpath(Data.hyper_link).click()
self.data.page_loading(self.driver)
course_type = Select(self.driver.find_element_by_id(Data.coursetype))
course_type.select_by_visible_text(' Enrollment ')
self.data.page_loading(self.driver)
timeseries = Select(self.driver.find_element_by_name(Data.timeperiods))
timeseries.select_by_visible_text(' Last 30 Days ')
self.data.page_loading(self.driver)
self.driver.find_element_by_id(Data.Download).click()
time.sleep(3)
self.filename = self.p.get_download_dir() +'/overall_data.csv'
self.data.page_loading(self.driver)
collnames = Select(self.driver.find_element_by_id(Data.coll_names))
counter = len(collnames.options) - 1
for i in range(len(collnames.options) - 2, len(collnames.options) - 1):
collnames.select_by_index(i)
self.data.page_loading(self.driver)
if os.path.isfile(self.filename) != True:
print('Last 30 days csv file is not downloaded ')
count = count + 1
self.data.page_loading(self.driver)
os.remove(self.filename)
return counter, count
| 42.042373 | 79 | 0.654102 | 663 | 4,961 | 4.695324 | 0.129713 | 0.128493 | 0.080951 | 0.128172 | 0.900739 | 0.900739 | 0.900739 | 0.900739 | 0.889496 | 0.889496 | 0 | 0.008721 | 0.237251 | 4,961 | 117 | 80 | 42.401709 | 0.813953 | 0 | 0 | 0.777778 | 0 | 0 | 0.055836 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.046296 | false | 0 | 0.055556 | 0 | 0.148148 | 0.037037 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
59a09e7384820e31fce9f7d83db2e5c458b11710 | 1,512 | py | Python | tests/test_venv.py | sweh/appenv | fb09637a96ae3683bb7111fbb2ed7e93973119f1 | [
"BSD-3-Clause"
] | 4 | 2020-04-25T20:14:39.000Z | 2021-04-23T04:45:58.000Z | tests/test_venv.py | sweh/appenv | fb09637a96ae3683bb7111fbb2ed7e93973119f1 | [
"BSD-3-Clause"
] | 28 | 2020-04-14T18:42:05.000Z | 2022-01-10T08:55:52.000Z | tests/test_venv.py | sweh/appenv | fb09637a96ae3683bb7111fbb2ed7e93973119f1 | [
"BSD-3-Clause"
] | 5 | 2020-06-16T07:25:08.000Z | 2021-11-17T13:18:02.000Z | import appenv
import os.path
def test_new_venv(tmpdir):
tmpdir = str(tmpdir)
appenv.ensure_venv(os.path.join(tmpdir, "venv"))
assert os.path.exists(os.path.join(tmpdir, "venv", "bin", "pip3"))
assert os.path.exists(os.path.join(tmpdir, "venv", "bin", "python"))
assert os.path.exists(os.path.join(tmpdir, "venv", "lib"))
# doesn't break things
appenv.ensure_venv(os.path.join(tmpdir, "venv"))
assert os.path.exists(os.path.join(tmpdir, "venv", "bin", "pip3"))
assert os.path.exists(os.path.join(tmpdir, "venv", "bin", "python"))
assert os.path.exists(os.path.join(tmpdir, "venv", "lib"))
def test_new_broken_venv_recreated(tmpdir):
tmpdir = str(tmpdir)
appenv.ensure_venv(os.path.join(tmpdir, "venv"))
assert os.path.exists(os.path.join(tmpdir, "venv", "bin", "pip3"))
assert os.path.exists(os.path.join(tmpdir, "venv", "bin", "python"))
assert os.path.exists(os.path.join(tmpdir, "venv", "lib"))
os.unlink(os.path.join(tmpdir, "venv", "bin", "pip3"))
with open(os.path.join(tmpdir, "venv", "asdf"), "w"):
pass
assert os.path.exists(os.path.join(tmpdir, "venv", "asdf"))
# re-creates the venv
appenv.ensure_venv(os.path.join(tmpdir, "venv"))
assert os.path.exists(os.path.join(tmpdir, "venv", "bin", "pip3"))
assert os.path.exists(os.path.join(tmpdir, "venv", "bin", "python"))
assert os.path.exists(os.path.join(tmpdir, "venv", "lib"))
assert not os.path.exists(os.path.join(tmpdir, "venv", "asdf"))
| 40.864865 | 72 | 0.652778 | 231 | 1,512 | 4.229437 | 0.147186 | 0.214944 | 0.204708 | 0.327533 | 0.86694 | 0.86694 | 0.842375 | 0.814739 | 0.814739 | 0.734903 | 0 | 0.003858 | 0.142857 | 1,512 | 36 | 73 | 42 | 0.75 | 0.026455 | 0 | 0.666667 | 0 | 0 | 0.119809 | 0 | 0 | 0 | 0 | 0 | 0.518519 | 1 | 0.074074 | false | 0.037037 | 0.074074 | 0 | 0.148148 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10 |
59dc7ebaa3c0faf2071185ca72d02c4fcde02f28 | 253 | py | Python | Codewars/8kyu/unfinished-loop-bug-fixing-number-1/Python/test.py | RevansChen/online-judge | ad1b07fee7bd3c49418becccda904e17505f3018 | [
"MIT"
] | 7 | 2017-09-20T16:40:39.000Z | 2021-08-31T18:15:08.000Z | Codewars/8kyu/unfinished-loop-bug-fixing-number-1/Python/test.py | RevansChen/online-judge | ad1b07fee7bd3c49418becccda904e17505f3018 | [
"MIT"
] | null | null | null | Codewars/8kyu/unfinished-loop-bug-fixing-number-1/Python/test.py | RevansChen/online-judge | ad1b07fee7bd3c49418becccda904e17505f3018 | [
"MIT"
] | null | null | null | # Python - 2.7.6
Test.assert_equals(create_array(1), [1])
Test.assert_equals(create_array(2), [1, 2])
Test.assert_equals(create_array(3), [1, 2, 3])
Test.assert_equals(create_array(4), [1, 2, 3, 4])
Test.assert_equals(create_array(5), [1, 2, 3, 4, 5])
| 31.625 | 52 | 0.687747 | 49 | 253 | 3.346939 | 0.265306 | 0.304878 | 0.487805 | 0.670732 | 0.823171 | 0 | 0 | 0 | 0 | 0 | 0 | 0.100877 | 0.098814 | 253 | 7 | 53 | 36.142857 | 0.618421 | 0.055336 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | true | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
abd39c7fe3e721e7e8000cae22ee3b3ad89c8358 | 170 | py | Python | dcp/utils/__init__.py | baoyinhe/DCP | 2348087ca824c36f131f590260eedf84aae5774d | [
"BSD-3-Clause"
] | 170 | 2019-01-24T07:57:40.000Z | 2022-03-31T06:31:59.000Z | dcp/utils/__init__.py | baoyinhe/DCP | 2348087ca824c36f131f590260eedf84aae5774d | [
"BSD-3-Clause"
] | 16 | 2019-01-16T07:42:57.000Z | 2021-11-24T03:22:31.000Z | dcp/utils/__init__.py | baoyinhe/DCP | 2348087ca824c36f131f590260eedf84aae5774d | [
"BSD-3-Clause"
] | 29 | 2019-01-28T02:16:59.000Z | 2022-01-26T06:49:23.000Z | from .model_transform import *
from .compute import *
from .log_print import *
from .log_print import *
from .logger import *
from .others import *
from .sampler import * | 24.285714 | 30 | 0.758824 | 24 | 170 | 5.25 | 0.416667 | 0.47619 | 0.206349 | 0.285714 | 0.365079 | 0.365079 | 0 | 0 | 0 | 0 | 0 | 0 | 0.158824 | 170 | 7 | 31 | 24.285714 | 0.881119 | 0 | 0 | 0.285714 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0.285714 | 1 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 8 |
e6319263dd602fe37add841c336529aa566df7f1 | 507 | py | Python | public/ViPER/modules/print.py | severnake/ViPER | e788f73bfe894f7fd03081782c87778de38a8df2 | [
"MIT"
] | 23 | 2016-11-26T06:55:44.000Z | 2021-07-27T19:28:05.000Z | public/ViPER/modules/print.py | severnake/ViPER | e788f73bfe894f7fd03081782c87778de38a8df2 | [
"MIT"
] | 2 | 2021-03-11T04:35:03.000Z | 2021-05-11T22:03:33.000Z | public/ViPER/modules/print.py | severnake/ViPER | e788f73bfe894f7fd03081782c87778de38a8df2 | [
"MIT"
] | 7 | 2017-08-12T10:44:41.000Z | 2022-03-22T05:49:49.000Z | from modules.test_clint.textui import colored
class printColor():
def __init__(self):
pass
def printRed(self):
print(colored("++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", red))
def printYellow(self):
print(colored("++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", yellow))
def printBlue(self):
print(colored("++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", blue))
| 29.823529 | 108 | 0.33925 | 31 | 507 | 5.387097 | 0.645161 | 0.161677 | 0.287425 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.147929 | 507 | 16 | 109 | 31.6875 | 0.386574 | 0 | 0 | 0 | 0 | 0 | 0.43787 | 0.43787 | 0 | 0 | 0 | 0 | 0 | 1 | 0.4 | false | 0.1 | 0.1 | 0 | 0.6 | 0.7 | 0 | 0 | 0 | null | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 7 |
e641f4b3294da7a87d4d23ea0ec3c966713472e6 | 138 | py | Python | pystax/aws/__init__.py | speedyturkey/pystax | e1c665704e400e2f67815e31c791cd4e32140a10 | [
"MIT"
] | null | null | null | pystax/aws/__init__.py | speedyturkey/pystax | e1c665704e400e2f67815e31c791cd4e32140a10 | [
"MIT"
] | null | null | null | pystax/aws/__init__.py | speedyturkey/pystax | e1c665704e400e2f67815e31c791cd4e32140a10 | [
"MIT"
] | null | null | null | # Sdk must be imported to the package first
from pystax.aws.sdk import Sdk
from pystax.aws.cfn import Cfn
from pystax.aws.sts import Sts
| 23 | 43 | 0.789855 | 26 | 138 | 4.192308 | 0.538462 | 0.275229 | 0.357798 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.15942 | 138 | 5 | 44 | 27.6 | 0.939655 | 0.297101 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
e6474e2003b2769b3593d43d3e824ec499d496a5 | 152 | py | Python | reportesv_sucursal/wizard/__init__.py | grottas/odoosv | 3110a2806c550a05a2baa911e2fc98bf24c78909 | [
"Apache-2.0"
] | null | null | null | reportesv_sucursal/wizard/__init__.py | grottas/odoosv | 3110a2806c550a05a2baa911e2fc98bf24c78909 | [
"Apache-2.0"
] | null | null | null | reportesv_sucursal/wizard/__init__.py | grottas/odoosv | 3110a2806c550a05a2baa911e2fc98bf24c78909 | [
"Apache-2.0"
] | null | null | null | from . import wizard_purchases
from . import wizard_taxpayer
from . import wizard_consumer
from . import wizard_ticket
from . import wizard_landed_cost
| 25.333333 | 32 | 0.835526 | 21 | 152 | 5.761905 | 0.428571 | 0.413223 | 0.661157 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.131579 | 152 | 5 | 33 | 30.4 | 0.916667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
e655bf9ade41ecfacf80ac36a5050d27b2454f38 | 7,894 | py | Python | a10sdk/core/netflow/netflow_monitor.py | deepfield/a10sdk-python | bfaa58099f51f085d5e91652d1d1a3fd5c529d5d | [
"Apache-2.0"
] | 16 | 2015-05-20T07:26:30.000Z | 2021-01-23T11:56:57.000Z | a10sdk/core/netflow/netflow_monitor.py | deepfield/a10sdk-python | bfaa58099f51f085d5e91652d1d1a3fd5c529d5d | [
"Apache-2.0"
] | 6 | 2015-03-24T22:07:11.000Z | 2017-03-28T21:31:18.000Z | a10sdk/core/netflow/netflow_monitor.py | deepfield/a10sdk-python | bfaa58099f51f085d5e91652d1d1a3fd5c529d5d | [
"Apache-2.0"
] | 23 | 2015-03-29T15:43:01.000Z | 2021-06-02T17:12:01.000Z | from a10sdk.common.A10BaseClass import A10BaseClass
class SamplingEnable(A10BaseClass):
"""This class does not support CRUD Operations please use parent.
:param counters1: {"enum": ["all", "packets-sent", "bytes-sent", "nat44-records-sent", "nat44-records-sent-failure", "nat64-records-sent", "nat64-records-sent-failure", "dslite-records-sent", "dslite-records-sent-failure", "session-event-nat44-records-sent", "session-event-nat44-records-sent-failure", "session-event-nat64-records-sent", "session-event-nat64-records-sent-failure", "session-event-dslite-records-sent", "session-event-dslite-records-sent-failure", "port-mapping-nat44-records-sent", "port-mapping-nat44-records-sent-failure", "port-mapping-nat64-records-sent", "port-mapping-nat64-records-sent-failure", "port-mapping-dslite-records-sent", "port-mapping-dslite-records-sent-failure", "netflow-v5-records-sent", "netflow-v5-records-sent-failure", "netflow-v5-ext-records-sent", "netflow-v5-ext-records-sent-failure"], "type": "string", "description": "'all': all; 'packets-sent': packets-sent; 'bytes-sent': bytes-sent; 'nat44-records-sent': nat44-records-sent; 'nat44-records-sent-failure': nat44-records-sent-failure; 'nat64-records-sent': nat64-records-sent; 'nat64-records-sent-failure': nat64-records-sent-failure; 'dslite-records-sent': dslite-records-sent; 'dslite-records-sent-failure': dslite-records-sent-failure; 'session-event-nat44-records-sent': session-event-nat44-records-sent; 'session-event-nat44-records-sent-failure': session-event-nat44-records-sent-failure; 'session-event-nat64-records-sent': session-event-nat64-records-sent; 'session-event-nat64-records-sent-failure': session-event-nat64-records-sent-failure; 'session-event-dslite-records-sent': session-event-dslite-records-sent; 'session-event-dslite-records-sent-failure': session-event-dslite-records-sent-failure; 'port-mapping-nat44-records-sent': port-mapping-nat44-records-sent; 'port-mapping-nat44-records-sent-failure': port-mapping-nat44-records-sent-failure; 'port-mapping-nat64-records-sent': port-mapping-nat64-records-sent; 'port-mapping-nat64-records-sent-failure': port-mapping-nat64-records-sent-failure; 'port-mapping-dslite-records-sent': port-mapping-dslite-records-sent; 'port-mapping-dslite-records-sent-failure': port-mapping-dslite-records-sent-failure; 'netflow-v5-records-sent': netflow-v5-records-sent; 'netflow-v5-records-sent-failure': netflow-v5-records-sent-failure; 'netflow-v5-ext-records-sent': netflow-v5-ext-records-sent; 'netflow-v5-ext-records-sent-failure': netflow-v5-ext-records-sent-failure; ", "format": "enum"}
:param DeviceProxy: The device proxy for REST operations and session handling. Refer to `common/device_proxy.py`
"""
def __init__(self, **kwargs):
self.ERROR_MSG = ""
self.b_key = "sampling-enable"
self.DeviceProxy = ""
self.counters1 = ""
for keys, value in kwargs.items():
setattr(self,keys, value)
class Monitor(A10BaseClass):
"""Class Description::
Configure NetFlow Monitor.
Class monitor supports CRUD Operations and inherits from `common/A10BaseClass`.
This class is the `"PARENT"` class for this module.`
:param source_ip_use_mgmt: {"default": 0, "optional": true, "type": "number", "description": "Use management interface's IP address for source ip of netflow packets", "format": "flag"}
:param protocol: {"description": "'v9': Netflow version 9; 'v10': Netflow version 10 (IPFIX); ", "format": "enum", "default": "v9", "type": "string", "enum": ["v9", "v10"], "optional": true}
:param name: {"description": "Name of netflow monitor", "format": "string-rlx", "minLength": 1, "optional": false, "maxLength": 63, "type": "string"}
:param sampling_enable: {"minItems": 1, "items": {"type": "object"}, "uniqueItems": true, "type": "array", "array": [{"properties": {"optional": true, "counters1": {"enum": ["all", "packets-sent", "bytes-sent", "nat44-records-sent", "nat44-records-sent-failure", "nat64-records-sent", "nat64-records-sent-failure", "dslite-records-sent", "dslite-records-sent-failure", "session-event-nat44-records-sent", "session-event-nat44-records-sent-failure", "session-event-nat64-records-sent", "session-event-nat64-records-sent-failure", "session-event-dslite-records-sent", "session-event-dslite-records-sent-failure", "port-mapping-nat44-records-sent", "port-mapping-nat44-records-sent-failure", "port-mapping-nat64-records-sent", "port-mapping-nat64-records-sent-failure", "port-mapping-dslite-records-sent", "port-mapping-dslite-records-sent-failure", "netflow-v5-records-sent", "netflow-v5-records-sent-failure", "netflow-v5-ext-records-sent", "netflow-v5-ext-records-sent-failure"], "type": "string", "description": "'all': all; 'packets-sent': packets-sent; 'bytes-sent': bytes-sent; 'nat44-records-sent': nat44-records-sent; 'nat44-records-sent-failure': nat44-records-sent-failure; 'nat64-records-sent': nat64-records-sent; 'nat64-records-sent-failure': nat64-records-sent-failure; 'dslite-records-sent': dslite-records-sent; 'dslite-records-sent-failure': dslite-records-sent-failure; 'session-event-nat44-records-sent': session-event-nat44-records-sent; 'session-event-nat44-records-sent-failure': session-event-nat44-records-sent-failure; 'session-event-nat64-records-sent': session-event-nat64-records-sent; 'session-event-nat64-records-sent-failure': session-event-nat64-records-sent-failure; 'session-event-dslite-records-sent': session-event-dslite-records-sent; 'session-event-dslite-records-sent-failure': session-event-dslite-records-sent-failure; 'port-mapping-nat44-records-sent': port-mapping-nat44-records-sent; 'port-mapping-nat44-records-sent-failure': port-mapping-nat44-records-sent-failure; 'port-mapping-nat64-records-sent': port-mapping-nat64-records-sent; 'port-mapping-nat64-records-sent-failure': port-mapping-nat64-records-sent-failure; 'port-mapping-dslite-records-sent': port-mapping-dslite-records-sent; 'port-mapping-dslite-records-sent-failure': port-mapping-dslite-records-sent-failure; 'netflow-v5-records-sent': netflow-v5-records-sent; 'netflow-v5-records-sent-failure': netflow-v5-records-sent-failure; 'netflow-v5-ext-records-sent': netflow-v5-ext-records-sent; 'netflow-v5-ext-records-sent-failure': netflow-v5-ext-records-sent-failure; ", "format": "enum"}}}]}
:param disable: {"default": 0, "optional": true, "type": "number", "description": "Disable this netflow monitor", "format": "flag"}
:param flow_timeout: {"description": "Configure timeout value to export flow records periodically for long-live session ( Number of minutes: default is 10, 0 means only send flow record when session is deleted)", "format": "number", "default": 10, "optional": true, "maximum": 1440, "minimum": 0, "type": "number"}
:param uuid: {"description": "uuid of the object", "format": "string", "minLength": 1, "modify-not-allowed": 1, "optional": true, "maxLength": 64, "type": "string"}
:param DeviceProxy: The device proxy for REST operations and session handling. Refer to `common/device_proxy.py`
URL for this object::
`https://<Hostname|Ip address>//axapi/v3/netflow/monitor/{name}`.
"""
def __init__(self, **kwargs):
self.ERROR_MSG = ""
self.required = [ "name"]
self.b_key = "monitor"
self.a10_url="/axapi/v3/netflow/monitor/{name}"
self.DeviceProxy = ""
self.source_ip_use_mgmt = ""
self.protocol = ""
self.name = ""
self.source_address = {}
self.destination = {}
self.sample = {}
self.record = {}
self.sampling_enable = []
self.disable = ""
self.resend_template = {}
self.flow_timeout = ""
self.uuid = ""
for keys, value in kwargs.items():
setattr(self,keys, value)
| 103.868421 | 2,602 | 0.71852 | 1,034 | 7,894 | 5.459381 | 0.131528 | 0.257219 | 0.210452 | 0.073339 | 0.756599 | 0.747741 | 0.747741 | 0.733215 | 0.721523 | 0.721523 | 0 | 0.030741 | 0.105777 | 7,894 | 75 | 2,603 | 105.253333 | 0.768947 | 0.854826 | 0 | 0.333333 | 0 | 0 | 0.056039 | 0.030918 | 0 | 0 | 0 | 0 | 0 | 1 | 0.066667 | false | 0 | 0.033333 | 0 | 0.166667 | 0 | 0 | 0 | 0 | null | 1 | 1 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10 |
e668359598825382808233a3fc503b8a2eb7d462 | 3,556 | py | Python | Assignment4_97411252/pythonProject/gen_AST/MiniJava_ASTListener.py | AmiraliPak/IUSTCompiler | 11416a91f9f19640f8dc19e9ea03e2535cc02d48 | [
"MIT"
] | null | null | null | Assignment4_97411252/pythonProject/gen_AST/MiniJava_ASTListener.py | AmiraliPak/IUSTCompiler | 11416a91f9f19640f8dc19e9ea03e2535cc02d48 | [
"MIT"
] | null | null | null | Assignment4_97411252/pythonProject/gen_AST/MiniJava_ASTListener.py | AmiraliPak/IUSTCompiler | 11416a91f9f19640f8dc19e9ea03e2535cc02d48 | [
"MIT"
] | null | null | null | # Generated from E:/UNI/Term6/Compiler/Assignments/Assignment4_97411252/pythonProject\MiniJava_AST.g4 by ANTLR 4.9.1
from antlr4 import *
if __name__ is not None and "." in __name__:
from .MiniJava_ASTParser import MiniJava_ASTParser
else:
from MiniJava_ASTParser import MiniJava_ASTParser
# This class defines a complete listener for a parse tree produced by MiniJava_ASTParser.
class MiniJava_ASTListener(ParseTreeListener):
# Enter a parse tree produced by MiniJava_ASTParser#program.
def enterProgram(self, ctx:MiniJava_ASTParser.ProgramContext):
pass
# Exit a parse tree produced by MiniJava_ASTParser#program.
def exitProgram(self, ctx:MiniJava_ASTParser.ProgramContext):
pass
# Enter a parse tree produced by MiniJava_ASTParser#mainClass.
def enterMainClass(self, ctx:MiniJava_ASTParser.MainClassContext):
pass
# Exit a parse tree produced by MiniJava_ASTParser#mainClass.
def exitMainClass(self, ctx:MiniJava_ASTParser.MainClassContext):
pass
# Enter a parse tree produced by MiniJava_ASTParser#classDeclaration.
def enterClassDeclaration(self, ctx:MiniJava_ASTParser.ClassDeclarationContext):
pass
# Exit a parse tree produced by MiniJava_ASTParser#classDeclaration.
def exitClassDeclaration(self, ctx:MiniJava_ASTParser.ClassDeclarationContext):
pass
# Enter a parse tree produced by MiniJava_ASTParser#varDeclaration.
def enterVarDeclaration(self, ctx:MiniJava_ASTParser.VarDeclarationContext):
pass
# Exit a parse tree produced by MiniJava_ASTParser#varDeclaration.
def exitVarDeclaration(self, ctx:MiniJava_ASTParser.VarDeclarationContext):
pass
# Enter a parse tree produced by MiniJava_ASTParser#methodDeclaration.
def enterMethodDeclaration(self, ctx:MiniJava_ASTParser.MethodDeclarationContext):
pass
# Exit a parse tree produced by MiniJava_ASTParser#methodDeclaration.
def exitMethodDeclaration(self, ctx:MiniJava_ASTParser.MethodDeclarationContext):
pass
# Enter a parse tree produced by MiniJava_ASTParser#type1.
def enterType1(self, ctx:MiniJava_ASTParser.Type1Context):
pass
# Exit a parse tree produced by MiniJava_ASTParser#type1.
def exitType1(self, ctx:MiniJava_ASTParser.Type1Context):
pass
# Enter a parse tree produced by MiniJava_ASTParser#statements.
def enterStatements(self, ctx:MiniJava_ASTParser.StatementsContext):
pass
# Exit a parse tree produced by MiniJava_ASTParser#statements.
def exitStatements(self, ctx:MiniJava_ASTParser.StatementsContext):
pass
# Enter a parse tree produced by MiniJava_ASTParser#statement.
def enterStatement(self, ctx:MiniJava_ASTParser.StatementContext):
pass
# Exit a parse tree produced by MiniJava_ASTParser#statement.
def exitStatement(self, ctx:MiniJava_ASTParser.StatementContext):
pass
# Enter a parse tree produced by MiniJava_ASTParser#exps.
def enterExps(self, ctx:MiniJava_ASTParser.ExpsContext):
pass
# Exit a parse tree produced by MiniJava_ASTParser#exps.
def exitExps(self, ctx:MiniJava_ASTParser.ExpsContext):
pass
# Enter a parse tree produced by MiniJava_ASTParser#expression.
def enterExpression(self, ctx:MiniJava_ASTParser.ExpressionContext):
pass
# Exit a parse tree produced by MiniJava_ASTParser#expression.
def exitExpression(self, ctx:MiniJava_ASTParser.ExpressionContext):
pass
del MiniJava_ASTParser | 34.862745 | 116 | 0.760686 | 403 | 3,556 | 6.57072 | 0.218362 | 0.295317 | 0.079305 | 0.142749 | 0.800227 | 0.800227 | 0.45506 | 0.441088 | 0.439199 | 0 | 0 | 0.007219 | 0.181946 | 3,556 | 102 | 117 | 34.862745 | 0.903059 | 0.397638 | 0 | 0.425532 | 1 | 0 | 0.000476 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.425532 | false | 0.425532 | 0.06383 | 0 | 0.510638 | 0 | 0 | 0 | 0 | null | 1 | 0 | 0 | 1 | 1 | 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 | 7 |
05743c54f8a56ed2fa117877d47d66baf0723881 | 856 | py | Python | t66ySpider/t66ySpider/items.py | Nymphet/t66y-spider | 749554d189552029f657beee430f5677f8bf826a | [
"Apache-2.0"
] | 53 | 2016-02-22T09:42:14.000Z | 2021-07-07T02:00:19.000Z | t66ySpider/t66ySpider/items.py | Chunk0423/t66y | 749554d189552029f657beee430f5677f8bf826a | [
"Apache-2.0"
] | 1 | 2016-10-21T14:21:13.000Z | 2016-12-23T16:50:35.000Z | t66ySpider/t66ySpider/items.py | Chunk0423/t66y | 749554d189552029f657beee430f5677f8bf826a | [
"Apache-2.0"
] | 24 | 2016-04-26T13:30:45.000Z | 2020-08-18T20:51:02.000Z | # -*- coding: utf-8 -*-
import scrapy
class T66YspiderDagaierItem(scrapy.Item):
t_title = scrapy.Field()
t_image_list = scrapy.Field()
class T66YspiderXinshidaiItem(scrapy.Item):
t_title = scrapy.Field()
t_image_list = scrapy.Field()
class T66YspiderYazhouwumaItem(scrapy.Item):
t_title = scrapy.Field()
t_url = scrapy.Field()
t_image_list = scrapy.Field()
t_torrent_list = scrapy.Field()
class T66YspiderYazhouyoumaItem(scrapy.Item):
t_title = scrapy.Field()
t_url = scrapy.Field()
t_image_list = scrapy.Field()
t_torrent_list = scrapy.Field()
class T66YspiderDongmanItem(scrapy.Item):
t_title = scrapy.Field()
t_url = scrapy.Field()
t_image_list = scrapy.Field()
t_torrent_list = scrapy.Field()
| 27.612903 | 45 | 0.629673 | 97 | 856 | 5.309278 | 0.195876 | 0.341748 | 0.256311 | 0.15534 | 0.726214 | 0.726214 | 0.726214 | 0.726214 | 0.726214 | 0.726214 | 0 | 0.017405 | 0.261682 | 856 | 30 | 46 | 28.533333 | 0.797468 | 0.024533 | 0 | 0.727273 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.045455 | 0 | 1 | 0 | 0 | 0 | 0 | null | 1 | 1 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 9 |
55452d40d04eb9961831be3c23d01e46ae694a37 | 24,575 | py | Python | sdk/python/pulumi_sakuracloud/load_balancer.py | sacloud/pulumi-sakuracloud | 3eff14c6ec8ef4ad6422e0cdf15585df67eb4d6e | [
"ECL-2.0",
"Apache-2.0"
] | 6 | 2019-12-07T07:46:05.000Z | 2020-12-19T02:41:42.000Z | sdk/python/pulumi_sakuracloud/load_balancer.py | sacloud/pulumi-sakuracloud | 3eff14c6ec8ef4ad6422e0cdf15585df67eb4d6e | [
"ECL-2.0",
"Apache-2.0"
] | 5 | 2019-09-11T04:41:06.000Z | 2021-10-19T07:50:34.000Z | sdk/python/pulumi_sakuracloud/load_balancer.py | sacloud/pulumi-sakuracloud | 3eff14c6ec8ef4ad6422e0cdf15585df67eb4d6e | [
"ECL-2.0",
"Apache-2.0"
] | 2 | 2019-09-08T05:38:16.000Z | 2021-06-24T01:32:47.000Z | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from . import _utilities
from . import outputs
from ._inputs import *
__all__ = ['LoadBalancerArgs', 'LoadBalancer']
@pulumi.input_type
class LoadBalancerArgs:
def __init__(__self__, *,
network_interface: pulumi.Input['LoadBalancerNetworkInterfaceArgs'],
description: Optional[pulumi.Input[str]] = None,
icon_id: Optional[pulumi.Input[str]] = None,
name: Optional[pulumi.Input[str]] = None,
plan: Optional[pulumi.Input[str]] = None,
tags: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None,
vips: Optional[pulumi.Input[Sequence[pulumi.Input['LoadBalancerVipArgs']]]] = None,
zone: Optional[pulumi.Input[str]] = None):
"""
The set of arguments for constructing a LoadBalancer resource.
:param pulumi.Input['LoadBalancerNetworkInterfaceArgs'] network_interface: An `network_interface` block as defined below.
:param pulumi.Input[str] description: The description of the VIP. The length of this value must be in the range [`1`-`512`].
:param pulumi.Input[str] icon_id: The icon id to attach to the LoadBalancer.
:param pulumi.Input[str] name: The name of the LoadBalancer. The length of this value must be in the range [`1`-`64`].
:param pulumi.Input[str] plan: The plan name of the LoadBalancer. This must be one of [`standard`/`highspec`]. Changing this forces a new resource to be created. Default:`standard`.
:param pulumi.Input[Sequence[pulumi.Input[str]]] tags: Any tags to assign to the LoadBalancer.
:param pulumi.Input[Sequence[pulumi.Input['LoadBalancerVipArgs']]] vips: One or more `vip` blocks as defined below.
:param pulumi.Input[str] zone: The name of zone that the LoadBalancer will be created. (e.g. `is1a`, `tk1a`). Changing this forces a new resource to be created.
"""
pulumi.set(__self__, "network_interface", network_interface)
if description is not None:
pulumi.set(__self__, "description", description)
if icon_id is not None:
pulumi.set(__self__, "icon_id", icon_id)
if name is not None:
pulumi.set(__self__, "name", name)
if plan is not None:
pulumi.set(__self__, "plan", plan)
if tags is not None:
pulumi.set(__self__, "tags", tags)
if vips is not None:
pulumi.set(__self__, "vips", vips)
if zone is not None:
pulumi.set(__self__, "zone", zone)
@property
@pulumi.getter(name="networkInterface")
def network_interface(self) -> pulumi.Input['LoadBalancerNetworkInterfaceArgs']:
"""
An `network_interface` block as defined below.
"""
return pulumi.get(self, "network_interface")
@network_interface.setter
def network_interface(self, value: pulumi.Input['LoadBalancerNetworkInterfaceArgs']):
pulumi.set(self, "network_interface", value)
@property
@pulumi.getter
def description(self) -> Optional[pulumi.Input[str]]:
"""
The description of the VIP. The length of this value must be in the range [`1`-`512`].
"""
return pulumi.get(self, "description")
@description.setter
def description(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "description", value)
@property
@pulumi.getter(name="iconId")
def icon_id(self) -> Optional[pulumi.Input[str]]:
"""
The icon id to attach to the LoadBalancer.
"""
return pulumi.get(self, "icon_id")
@icon_id.setter
def icon_id(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "icon_id", value)
@property
@pulumi.getter
def name(self) -> Optional[pulumi.Input[str]]:
"""
The name of the LoadBalancer. The length of this value must be in the range [`1`-`64`].
"""
return pulumi.get(self, "name")
@name.setter
def name(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "name", value)
@property
@pulumi.getter
def plan(self) -> Optional[pulumi.Input[str]]:
"""
The plan name of the LoadBalancer. This must be one of [`standard`/`highspec`]. Changing this forces a new resource to be created. Default:`standard`.
"""
return pulumi.get(self, "plan")
@plan.setter
def plan(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "plan", value)
@property
@pulumi.getter
def tags(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]:
"""
Any tags to assign to the LoadBalancer.
"""
return pulumi.get(self, "tags")
@tags.setter
def tags(self, value: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]):
pulumi.set(self, "tags", value)
@property
@pulumi.getter
def vips(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['LoadBalancerVipArgs']]]]:
"""
One or more `vip` blocks as defined below.
"""
return pulumi.get(self, "vips")
@vips.setter
def vips(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['LoadBalancerVipArgs']]]]):
pulumi.set(self, "vips", value)
@property
@pulumi.getter
def zone(self) -> Optional[pulumi.Input[str]]:
"""
The name of zone that the LoadBalancer will be created. (e.g. `is1a`, `tk1a`). Changing this forces a new resource to be created.
"""
return pulumi.get(self, "zone")
@zone.setter
def zone(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "zone", value)
@pulumi.input_type
class _LoadBalancerState:
def __init__(__self__, *,
description: Optional[pulumi.Input[str]] = None,
icon_id: Optional[pulumi.Input[str]] = None,
name: Optional[pulumi.Input[str]] = None,
network_interface: Optional[pulumi.Input['LoadBalancerNetworkInterfaceArgs']] = None,
plan: Optional[pulumi.Input[str]] = None,
tags: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None,
vips: Optional[pulumi.Input[Sequence[pulumi.Input['LoadBalancerVipArgs']]]] = None,
zone: Optional[pulumi.Input[str]] = None):
"""
Input properties used for looking up and filtering LoadBalancer resources.
:param pulumi.Input[str] description: The description of the VIP. The length of this value must be in the range [`1`-`512`].
:param pulumi.Input[str] icon_id: The icon id to attach to the LoadBalancer.
:param pulumi.Input[str] name: The name of the LoadBalancer. The length of this value must be in the range [`1`-`64`].
:param pulumi.Input['LoadBalancerNetworkInterfaceArgs'] network_interface: An `network_interface` block as defined below.
:param pulumi.Input[str] plan: The plan name of the LoadBalancer. This must be one of [`standard`/`highspec`]. Changing this forces a new resource to be created. Default:`standard`.
:param pulumi.Input[Sequence[pulumi.Input[str]]] tags: Any tags to assign to the LoadBalancer.
:param pulumi.Input[Sequence[pulumi.Input['LoadBalancerVipArgs']]] vips: One or more `vip` blocks as defined below.
:param pulumi.Input[str] zone: The name of zone that the LoadBalancer will be created. (e.g. `is1a`, `tk1a`). Changing this forces a new resource to be created.
"""
if description is not None:
pulumi.set(__self__, "description", description)
if icon_id is not None:
pulumi.set(__self__, "icon_id", icon_id)
if name is not None:
pulumi.set(__self__, "name", name)
if network_interface is not None:
pulumi.set(__self__, "network_interface", network_interface)
if plan is not None:
pulumi.set(__self__, "plan", plan)
if tags is not None:
pulumi.set(__self__, "tags", tags)
if vips is not None:
pulumi.set(__self__, "vips", vips)
if zone is not None:
pulumi.set(__self__, "zone", zone)
@property
@pulumi.getter
def description(self) -> Optional[pulumi.Input[str]]:
"""
The description of the VIP. The length of this value must be in the range [`1`-`512`].
"""
return pulumi.get(self, "description")
@description.setter
def description(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "description", value)
@property
@pulumi.getter(name="iconId")
def icon_id(self) -> Optional[pulumi.Input[str]]:
"""
The icon id to attach to the LoadBalancer.
"""
return pulumi.get(self, "icon_id")
@icon_id.setter
def icon_id(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "icon_id", value)
@property
@pulumi.getter
def name(self) -> Optional[pulumi.Input[str]]:
"""
The name of the LoadBalancer. The length of this value must be in the range [`1`-`64`].
"""
return pulumi.get(self, "name")
@name.setter
def name(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "name", value)
@property
@pulumi.getter(name="networkInterface")
def network_interface(self) -> Optional[pulumi.Input['LoadBalancerNetworkInterfaceArgs']]:
"""
An `network_interface` block as defined below.
"""
return pulumi.get(self, "network_interface")
@network_interface.setter
def network_interface(self, value: Optional[pulumi.Input['LoadBalancerNetworkInterfaceArgs']]):
pulumi.set(self, "network_interface", value)
@property
@pulumi.getter
def plan(self) -> Optional[pulumi.Input[str]]:
"""
The plan name of the LoadBalancer. This must be one of [`standard`/`highspec`]. Changing this forces a new resource to be created. Default:`standard`.
"""
return pulumi.get(self, "plan")
@plan.setter
def plan(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "plan", value)
@property
@pulumi.getter
def tags(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]:
"""
Any tags to assign to the LoadBalancer.
"""
return pulumi.get(self, "tags")
@tags.setter
def tags(self, value: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]):
pulumi.set(self, "tags", value)
@property
@pulumi.getter
def vips(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['LoadBalancerVipArgs']]]]:
"""
One or more `vip` blocks as defined below.
"""
return pulumi.get(self, "vips")
@vips.setter
def vips(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['LoadBalancerVipArgs']]]]):
pulumi.set(self, "vips", value)
@property
@pulumi.getter
def zone(self) -> Optional[pulumi.Input[str]]:
"""
The name of zone that the LoadBalancer will be created. (e.g. `is1a`, `tk1a`). Changing this forces a new resource to be created.
"""
return pulumi.get(self, "zone")
@zone.setter
def zone(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "zone", value)
class LoadBalancer(pulumi.CustomResource):
@overload
def __init__(__self__,
resource_name: str,
opts: Optional[pulumi.ResourceOptions] = None,
description: Optional[pulumi.Input[str]] = None,
icon_id: Optional[pulumi.Input[str]] = None,
name: Optional[pulumi.Input[str]] = None,
network_interface: Optional[pulumi.Input[pulumi.InputType['LoadBalancerNetworkInterfaceArgs']]] = None,
plan: Optional[pulumi.Input[str]] = None,
tags: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None,
vips: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['LoadBalancerVipArgs']]]]] = None,
zone: Optional[pulumi.Input[str]] = None,
__props__=None):
"""
Manages a SakuraCloud Load Balancer.
## Example Usage
```python
import pulumi
import pulumi_sakuracloud as sakuracloud
foobar_switch = sakuracloud.Switch("foobarSwitch")
foobar_load_balancer = sakuracloud.LoadBalancer("foobarLoadBalancer",
plan="standard",
network_interface=sakuracloud.LoadBalancerNetworkInterfaceArgs(
switch_id=foobar_switch.id,
vrid=1,
ip_addresses=["192.168.11.101"],
netmask=24,
gateway="192.168.11.1",
),
description="description",
tags=[
"tag1",
"tag2",
],
vips=[sakuracloud.LoadBalancerVipArgs(
vip="192.168.11.201",
port=80,
delay_loop=10,
sorry_server="192.168.11.21",
servers=[
sakuracloud.LoadBalancerVipServerArgs(
ip_address="192.168.11.51",
protocol="http",
path="/health",
status="200",
),
sakuracloud.LoadBalancerVipServerArgs(
ip_address="192.168.11.52",
protocol="http",
path="/health",
status="200",
),
],
)])
```
:param str resource_name: The name of the resource.
:param pulumi.ResourceOptions opts: Options for the resource.
:param pulumi.Input[str] description: The description of the VIP. The length of this value must be in the range [`1`-`512`].
:param pulumi.Input[str] icon_id: The icon id to attach to the LoadBalancer.
:param pulumi.Input[str] name: The name of the LoadBalancer. The length of this value must be in the range [`1`-`64`].
:param pulumi.Input[pulumi.InputType['LoadBalancerNetworkInterfaceArgs']] network_interface: An `network_interface` block as defined below.
:param pulumi.Input[str] plan: The plan name of the LoadBalancer. This must be one of [`standard`/`highspec`]. Changing this forces a new resource to be created. Default:`standard`.
:param pulumi.Input[Sequence[pulumi.Input[str]]] tags: Any tags to assign to the LoadBalancer.
:param pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['LoadBalancerVipArgs']]]] vips: One or more `vip` blocks as defined below.
:param pulumi.Input[str] zone: The name of zone that the LoadBalancer will be created. (e.g. `is1a`, `tk1a`). Changing this forces a new resource to be created.
"""
...
@overload
def __init__(__self__,
resource_name: str,
args: LoadBalancerArgs,
opts: Optional[pulumi.ResourceOptions] = None):
"""
Manages a SakuraCloud Load Balancer.
## Example Usage
```python
import pulumi
import pulumi_sakuracloud as sakuracloud
foobar_switch = sakuracloud.Switch("foobarSwitch")
foobar_load_balancer = sakuracloud.LoadBalancer("foobarLoadBalancer",
plan="standard",
network_interface=sakuracloud.LoadBalancerNetworkInterfaceArgs(
switch_id=foobar_switch.id,
vrid=1,
ip_addresses=["192.168.11.101"],
netmask=24,
gateway="192.168.11.1",
),
description="description",
tags=[
"tag1",
"tag2",
],
vips=[sakuracloud.LoadBalancerVipArgs(
vip="192.168.11.201",
port=80,
delay_loop=10,
sorry_server="192.168.11.21",
servers=[
sakuracloud.LoadBalancerVipServerArgs(
ip_address="192.168.11.51",
protocol="http",
path="/health",
status="200",
),
sakuracloud.LoadBalancerVipServerArgs(
ip_address="192.168.11.52",
protocol="http",
path="/health",
status="200",
),
],
)])
```
:param str resource_name: The name of the resource.
:param LoadBalancerArgs args: The arguments to use to populate this resource's properties.
:param pulumi.ResourceOptions opts: Options for the resource.
"""
...
def __init__(__self__, resource_name: str, *args, **kwargs):
resource_args, opts = _utilities.get_resource_args_opts(LoadBalancerArgs, pulumi.ResourceOptions, *args, **kwargs)
if resource_args is not None:
__self__._internal_init(resource_name, opts, **resource_args.__dict__)
else:
__self__._internal_init(resource_name, *args, **kwargs)
def _internal_init(__self__,
resource_name: str,
opts: Optional[pulumi.ResourceOptions] = None,
description: Optional[pulumi.Input[str]] = None,
icon_id: Optional[pulumi.Input[str]] = None,
name: Optional[pulumi.Input[str]] = None,
network_interface: Optional[pulumi.Input[pulumi.InputType['LoadBalancerNetworkInterfaceArgs']]] = None,
plan: Optional[pulumi.Input[str]] = None,
tags: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None,
vips: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['LoadBalancerVipArgs']]]]] = None,
zone: Optional[pulumi.Input[str]] = None,
__props__=None):
if opts is None:
opts = pulumi.ResourceOptions()
if not isinstance(opts, pulumi.ResourceOptions):
raise TypeError('Expected resource options to be a ResourceOptions instance')
if opts.version is None:
opts.version = _utilities.get_version()
if opts.id is None:
if __props__ is not None:
raise TypeError('__props__ is only valid when passed in combination with a valid opts.id to get an existing resource')
__props__ = LoadBalancerArgs.__new__(LoadBalancerArgs)
__props__.__dict__["description"] = description
__props__.__dict__["icon_id"] = icon_id
__props__.__dict__["name"] = name
if network_interface is None and not opts.urn:
raise TypeError("Missing required property 'network_interface'")
__props__.__dict__["network_interface"] = network_interface
__props__.__dict__["plan"] = plan
__props__.__dict__["tags"] = tags
__props__.__dict__["vips"] = vips
__props__.__dict__["zone"] = zone
super(LoadBalancer, __self__).__init__(
'sakuracloud:index/loadBalancer:LoadBalancer',
resource_name,
__props__,
opts)
@staticmethod
def get(resource_name: str,
id: pulumi.Input[str],
opts: Optional[pulumi.ResourceOptions] = None,
description: Optional[pulumi.Input[str]] = None,
icon_id: Optional[pulumi.Input[str]] = None,
name: Optional[pulumi.Input[str]] = None,
network_interface: Optional[pulumi.Input[pulumi.InputType['LoadBalancerNetworkInterfaceArgs']]] = None,
plan: Optional[pulumi.Input[str]] = None,
tags: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None,
vips: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['LoadBalancerVipArgs']]]]] = None,
zone: Optional[pulumi.Input[str]] = None) -> 'LoadBalancer':
"""
Get an existing LoadBalancer resource's state with the given name, id, and optional extra
properties used to qualify the lookup.
:param str resource_name: The unique name of the resulting resource.
:param pulumi.Input[str] id: The unique provider ID of the resource to lookup.
:param pulumi.ResourceOptions opts: Options for the resource.
:param pulumi.Input[str] description: The description of the VIP. The length of this value must be in the range [`1`-`512`].
:param pulumi.Input[str] icon_id: The icon id to attach to the LoadBalancer.
:param pulumi.Input[str] name: The name of the LoadBalancer. The length of this value must be in the range [`1`-`64`].
:param pulumi.Input[pulumi.InputType['LoadBalancerNetworkInterfaceArgs']] network_interface: An `network_interface` block as defined below.
:param pulumi.Input[str] plan: The plan name of the LoadBalancer. This must be one of [`standard`/`highspec`]. Changing this forces a new resource to be created. Default:`standard`.
:param pulumi.Input[Sequence[pulumi.Input[str]]] tags: Any tags to assign to the LoadBalancer.
:param pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['LoadBalancerVipArgs']]]] vips: One or more `vip` blocks as defined below.
:param pulumi.Input[str] zone: The name of zone that the LoadBalancer will be created. (e.g. `is1a`, `tk1a`). Changing this forces a new resource to be created.
"""
opts = pulumi.ResourceOptions.merge(opts, pulumi.ResourceOptions(id=id))
__props__ = _LoadBalancerState.__new__(_LoadBalancerState)
__props__.__dict__["description"] = description
__props__.__dict__["icon_id"] = icon_id
__props__.__dict__["name"] = name
__props__.__dict__["network_interface"] = network_interface
__props__.__dict__["plan"] = plan
__props__.__dict__["tags"] = tags
__props__.__dict__["vips"] = vips
__props__.__dict__["zone"] = zone
return LoadBalancer(resource_name, opts=opts, __props__=__props__)
@property
@pulumi.getter
def description(self) -> pulumi.Output[Optional[str]]:
"""
The description of the VIP. The length of this value must be in the range [`1`-`512`].
"""
return pulumi.get(self, "description")
@property
@pulumi.getter(name="iconId")
def icon_id(self) -> pulumi.Output[Optional[str]]:
"""
The icon id to attach to the LoadBalancer.
"""
return pulumi.get(self, "icon_id")
@property
@pulumi.getter
def name(self) -> pulumi.Output[str]:
"""
The name of the LoadBalancer. The length of this value must be in the range [`1`-`64`].
"""
return pulumi.get(self, "name")
@property
@pulumi.getter(name="networkInterface")
def network_interface(self) -> pulumi.Output['outputs.LoadBalancerNetworkInterface']:
"""
An `network_interface` block as defined below.
"""
return pulumi.get(self, "network_interface")
@property
@pulumi.getter
def plan(self) -> pulumi.Output[Optional[str]]:
"""
The plan name of the LoadBalancer. This must be one of [`standard`/`highspec`]. Changing this forces a new resource to be created. Default:`standard`.
"""
return pulumi.get(self, "plan")
@property
@pulumi.getter
def tags(self) -> pulumi.Output[Optional[Sequence[str]]]:
"""
Any tags to assign to the LoadBalancer.
"""
return pulumi.get(self, "tags")
@property
@pulumi.getter
def vips(self) -> pulumi.Output[Optional[Sequence['outputs.LoadBalancerVip']]]:
"""
One or more `vip` blocks as defined below.
"""
return pulumi.get(self, "vips")
@property
@pulumi.getter
def zone(self) -> pulumi.Output[str]:
"""
The name of zone that the LoadBalancer will be created. (e.g. `is1a`, `tk1a`). Changing this forces a new resource to be created.
"""
return pulumi.get(self, "zone")
| 43.418728 | 189 | 0.612818 | 2,790 | 24,575 | 5.243011 | 0.075986 | 0.100766 | 0.076565 | 0.067678 | 0.875103 | 0.861225 | 0.8414 | 0.833812 | 0.824173 | 0.818294 | 0 | 0.012089 | 0.27292 | 24,575 | 565 | 190 | 43.495575 | 0.806582 | 0.376724 | 0 | 0.797945 | 1 | 0 | 0.099722 | 0.028513 | 0 | 0 | 0 | 0 | 0 | 1 | 0.160959 | false | 0.003425 | 0.023973 | 0 | 0.280822 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
55a24bc431a2c48c2592b2c6ffa9efc5ca04080a | 46,529 | py | Python | uptrends/api/monitor_check_api.py | hpcc-systems/uptrends-python | 2e05ba851a4e65bde3c40514f499c475465bef90 | [
"BSD-3-Clause"
] | null | null | null | uptrends/api/monitor_check_api.py | hpcc-systems/uptrends-python | 2e05ba851a4e65bde3c40514f499c475465bef90 | [
"BSD-3-Clause"
] | null | null | null | uptrends/api/monitor_check_api.py | hpcc-systems/uptrends-python | 2e05ba851a4e65bde3c40514f499c475465bef90 | [
"BSD-3-Clause"
] | null | null | null | # coding: utf-8
"""
Uptrends API v4
This document describes Uptrends API version 4. This Swagger environment also lets you execute API methods directly. Please note that this is not a sandbox environment: these API methods operate directly on your actual Uptrends account. For more information, please visit https://www.uptrends.com/api. # noqa: E501
OpenAPI spec version: 1.0.0
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from __future__ import absolute_import
import re # noqa: F401
# python 2 and python 3 compatibility library
import six
from uptrends.api_client import ApiClient
class MonitorCheckApi(object):
"""NOTE: This class is auto generated by the swagger code generator program.
Do not edit the class manually.
Ref: https://github.com/swagger-api/swagger-codegen
"""
def __init__(self, api_client=None):
if api_client is None:
api_client = ApiClient()
self.api_client = api_client
def monitor_check_get_account_monitor_checks(self, **kwargs): # noqa: E501
"""Returns all monitor check data. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.monitor_check_get_account_monitor_checks(async_req=True)
>>> result = thread.get()
:param async_req bool
:param str error_level: Error level filter that should be applied. (default = NoError and above)
:param str cursor: A cursor value that should be used for traversing the dataset.
:param str sorting: Sorting direction based on timestamp.
:param int take: The number of records to return (Max value = 100)
:param datetime start: The start of a custom period (can't be used together with the PresetPeriod parameter)
:param datetime end: The end of a custom period
:param str preset_period: The requested time period.
:return: MonitorCheckResponse
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.monitor_check_get_account_monitor_checks_with_http_info(**kwargs) # noqa: E501
else:
(data) = self.monitor_check_get_account_monitor_checks_with_http_info(**kwargs) # noqa: E501
return data
def monitor_check_get_account_monitor_checks_with_http_info(self, **kwargs): # noqa: E501
"""Returns all monitor check data. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.monitor_check_get_account_monitor_checks_with_http_info(async_req=True)
>>> result = thread.get()
:param async_req bool
:param str error_level: Error level filter that should be applied. (default = NoError and above)
:param str cursor: A cursor value that should be used for traversing the dataset.
:param str sorting: Sorting direction based on timestamp.
:param int take: The number of records to return (Max value = 100)
:param datetime start: The start of a custom period (can't be used together with the PresetPeriod parameter)
:param datetime end: The end of a custom period
:param str preset_period: The requested time period.
:return: MonitorCheckResponse
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['error_level', 'cursor', 'sorting', 'take', 'start', 'end', 'preset_period'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method monitor_check_get_account_monitor_checks" % key
)
params[key] = val
del params['kwargs']
if 'take' in params and params['take'] > 100: # noqa: E501
raise ValueError("Invalid value for parameter `take` when calling `monitor_check_get_account_monitor_checks`, must be a value less than or equal to `100`") # noqa: E501
if 'take' in params and params['take'] < 0: # noqa: E501
raise ValueError("Invalid value for parameter `take` when calling `monitor_check_get_account_monitor_checks`, must be a value greater than or equal to `0`") # noqa: E501
collection_formats = {}
path_params = {}
query_params = []
if 'error_level' in params:
query_params.append(('ErrorLevel', params['error_level'])) # noqa: E501
if 'cursor' in params:
query_params.append(('Cursor', params['cursor'])) # noqa: E501
if 'sorting' in params:
query_params.append(('Sorting', params['sorting'])) # noqa: E501
if 'take' in params:
query_params.append(('Take', params['take'])) # noqa: E501
if 'start' in params:
query_params.append(('Start', params['start'])) # noqa: E501
if 'end' in params:
query_params.append(('End', params['end'])) # noqa: E501
if 'preset_period' in params:
query_params.append(('PresetPeriod', params['preset_period'])) # noqa: E501
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json', 'application/xml']) # noqa: E501
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501
['application/json', 'application/xml']) # noqa: E501
# Authentication setting
auth_settings = ['basicauth'] # noqa: E501
return self.api_client.call_api(
'/MonitorCheck', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='MonitorCheckResponse', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def monitor_check_get_http_details(self, monitor_check_id, **kwargs): # noqa: E501
"""Returns HTTP details for a monitor check. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.monitor_check_get_http_details(monitor_check_id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param int monitor_check_id: The monitor check Id to get the detailed data for. (required)
:return: HttpDetailsResponse
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.monitor_check_get_http_details_with_http_info(monitor_check_id, **kwargs) # noqa: E501
else:
(data) = self.monitor_check_get_http_details_with_http_info(monitor_check_id, **kwargs) # noqa: E501
return data
def monitor_check_get_http_details_with_http_info(self, monitor_check_id, **kwargs): # noqa: E501
"""Returns HTTP details for a monitor check. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.monitor_check_get_http_details_with_http_info(monitor_check_id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param int monitor_check_id: The monitor check Id to get the detailed data for. (required)
:return: HttpDetailsResponse
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['monitor_check_id'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method monitor_check_get_http_details" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'monitor_check_id' is set
if ('monitor_check_id' not in params or
params['monitor_check_id'] is None):
raise ValueError("Missing the required parameter `monitor_check_id` when calling `monitor_check_get_http_details`") # noqa: E501
collection_formats = {}
path_params = {}
if 'monitor_check_id' in params:
path_params['monitorCheckId'] = params['monitor_check_id'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json', 'application/xml']) # noqa: E501
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501
['application/json', 'application/xml']) # noqa: E501
# Authentication setting
auth_settings = ['basicauth'] # noqa: E501
return self.api_client.call_api(
'/MonitorCheck/{monitorCheckId}/Http', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='HttpDetailsResponse', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def monitor_check_get_monitor_check(self, monitor_guid, **kwargs): # noqa: E501
"""Returns monitor check data for a specific monitor. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.monitor_check_get_monitor_check(monitor_guid, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str monitor_guid: The Guid of the monitor to get monitor checks for. (required)
:param str error_level: Error level filter that should be applied. (default = NoError and above)
:param str cursor: A cursor value that should be used for traversing the dataset.
:param str sorting: Sorting direction based on timestamp.
:param int take: The number of records to return (Max value = 100)
:param datetime start: The start of a custom period (can't be used together with the PresetPeriod parameter)
:param datetime end: The end of a custom period
:param str preset_period: The requested time period.
:return: MonitorCheckResponse
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.monitor_check_get_monitor_check_with_http_info(monitor_guid, **kwargs) # noqa: E501
else:
(data) = self.monitor_check_get_monitor_check_with_http_info(monitor_guid, **kwargs) # noqa: E501
return data
def monitor_check_get_monitor_check_with_http_info(self, monitor_guid, **kwargs): # noqa: E501
"""Returns monitor check data for a specific monitor. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.monitor_check_get_monitor_check_with_http_info(monitor_guid, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str monitor_guid: The Guid of the monitor to get monitor checks for. (required)
:param str error_level: Error level filter that should be applied. (default = NoError and above)
:param str cursor: A cursor value that should be used for traversing the dataset.
:param str sorting: Sorting direction based on timestamp.
:param int take: The number of records to return (Max value = 100)
:param datetime start: The start of a custom period (can't be used together with the PresetPeriod parameter)
:param datetime end: The end of a custom period
:param str preset_period: The requested time period.
:return: MonitorCheckResponse
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['monitor_guid', 'error_level', 'cursor', 'sorting', 'take', 'start', 'end', 'preset_period'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method monitor_check_get_monitor_check" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'monitor_guid' is set
if ('monitor_guid' not in params or
params['monitor_guid'] is None):
raise ValueError("Missing the required parameter `monitor_guid` when calling `monitor_check_get_monitor_check`") # noqa: E501
if 'take' in params and params['take'] > 100: # noqa: E501
raise ValueError("Invalid value for parameter `take` when calling `monitor_check_get_monitor_check`, must be a value less than or equal to `100`") # noqa: E501
if 'take' in params and params['take'] < 0: # noqa: E501
raise ValueError("Invalid value for parameter `take` when calling `monitor_check_get_monitor_check`, must be a value greater than or equal to `0`") # noqa: E501
collection_formats = {}
path_params = {}
if 'monitor_guid' in params:
path_params['monitorGuid'] = params['monitor_guid'] # noqa: E501
query_params = []
if 'error_level' in params:
query_params.append(('ErrorLevel', params['error_level'])) # noqa: E501
if 'cursor' in params:
query_params.append(('Cursor', params['cursor'])) # noqa: E501
if 'sorting' in params:
query_params.append(('Sorting', params['sorting'])) # noqa: E501
if 'take' in params:
query_params.append(('Take', params['take'])) # noqa: E501
if 'start' in params:
query_params.append(('Start', params['start'])) # noqa: E501
if 'end' in params:
query_params.append(('End', params['end'])) # noqa: E501
if 'preset_period' in params:
query_params.append(('PresetPeriod', params['preset_period'])) # noqa: E501
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json', 'application/xml']) # noqa: E501
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501
['application/json', 'application/xml']) # noqa: E501
# Authentication setting
auth_settings = ['basicauth'] # noqa: E501
return self.api_client.call_api(
'/MonitorCheck/Monitor/{monitorGuid}', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='MonitorCheckResponse', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def monitor_check_get_monitor_group_data(self, monitor_group_guid, **kwargs): # noqa: E501
"""Returns monitor check data for a specific monitor group. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.monitor_check_get_monitor_group_data(monitor_group_guid, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str monitor_group_guid: The Guid of the monitor group to get monitor checks for. (required)
:param str error_level: Error level filter that should be applied. (default = NoError and above)
:param str cursor: A cursor value that should be used for traversing the dataset.
:param str sorting: Sorting direction based on timestamp.
:param int take: The number of records to return (Max value = 100)
:param datetime start: The start of a custom period (can't be used together with the PresetPeriod parameter)
:param datetime end: The end of a custom period
:param str preset_period: The requested time period.
:return: MonitorCheckResponse
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.monitor_check_get_monitor_group_data_with_http_info(monitor_group_guid, **kwargs) # noqa: E501
else:
(data) = self.monitor_check_get_monitor_group_data_with_http_info(monitor_group_guid, **kwargs) # noqa: E501
return data
def monitor_check_get_monitor_group_data_with_http_info(self, monitor_group_guid, **kwargs): # noqa: E501
"""Returns monitor check data for a specific monitor group. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.monitor_check_get_monitor_group_data_with_http_info(monitor_group_guid, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str monitor_group_guid: The Guid of the monitor group to get monitor checks for. (required)
:param str error_level: Error level filter that should be applied. (default = NoError and above)
:param str cursor: A cursor value that should be used for traversing the dataset.
:param str sorting: Sorting direction based on timestamp.
:param int take: The number of records to return (Max value = 100)
:param datetime start: The start of a custom period (can't be used together with the PresetPeriod parameter)
:param datetime end: The end of a custom period
:param str preset_period: The requested time period.
:return: MonitorCheckResponse
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['monitor_group_guid', 'error_level', 'cursor', 'sorting', 'take', 'start', 'end', 'preset_period'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method monitor_check_get_monitor_group_data" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'monitor_group_guid' is set
if ('monitor_group_guid' not in params or
params['monitor_group_guid'] is None):
raise ValueError("Missing the required parameter `monitor_group_guid` when calling `monitor_check_get_monitor_group_data`") # noqa: E501
if 'take' in params and params['take'] > 100: # noqa: E501
raise ValueError("Invalid value for parameter `take` when calling `monitor_check_get_monitor_group_data`, must be a value less than or equal to `100`") # noqa: E501
if 'take' in params and params['take'] < 0: # noqa: E501
raise ValueError("Invalid value for parameter `take` when calling `monitor_check_get_monitor_group_data`, must be a value greater than or equal to `0`") # noqa: E501
collection_formats = {}
path_params = {}
if 'monitor_group_guid' in params:
path_params['monitorGroupGuid'] = params['monitor_group_guid'] # noqa: E501
query_params = []
if 'error_level' in params:
query_params.append(('ErrorLevel', params['error_level'])) # noqa: E501
if 'cursor' in params:
query_params.append(('Cursor', params['cursor'])) # noqa: E501
if 'sorting' in params:
query_params.append(('Sorting', params['sorting'])) # noqa: E501
if 'take' in params:
query_params.append(('Take', params['take'])) # noqa: E501
if 'start' in params:
query_params.append(('Start', params['start'])) # noqa: E501
if 'end' in params:
query_params.append(('End', params['end'])) # noqa: E501
if 'preset_period' in params:
query_params.append(('PresetPeriod', params['preset_period'])) # noqa: E501
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json', 'application/xml']) # noqa: E501
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501
['application/json', 'application/xml']) # noqa: E501
# Authentication setting
auth_settings = ['basicauth'] # noqa: E501
return self.api_client.call_api(
'/MonitorCheck/MonitorGroup/{monitorGroupGuid}', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='MonitorCheckResponse', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def monitor_check_get_multistep_details(self, monitor_check_id, **kwargs): # noqa: E501
"""Returns Multi-Step API details for a monitor check. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.monitor_check_get_multistep_details(monitor_check_id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param int monitor_check_id: The monitor check Id to get the detailed data for. (required)
:return: MsaDetailsResponse
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.monitor_check_get_multistep_details_with_http_info(monitor_check_id, **kwargs) # noqa: E501
else:
(data) = self.monitor_check_get_multistep_details_with_http_info(monitor_check_id, **kwargs) # noqa: E501
return data
def monitor_check_get_multistep_details_with_http_info(self, monitor_check_id, **kwargs): # noqa: E501
"""Returns Multi-Step API details for a monitor check. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.monitor_check_get_multistep_details_with_http_info(monitor_check_id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param int monitor_check_id: The monitor check Id to get the detailed data for. (required)
:return: MsaDetailsResponse
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['monitor_check_id'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method monitor_check_get_multistep_details" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'monitor_check_id' is set
if ('monitor_check_id' not in params or
params['monitor_check_id'] is None):
raise ValueError("Missing the required parameter `monitor_check_id` when calling `monitor_check_get_multistep_details`") # noqa: E501
collection_formats = {}
path_params = {}
if 'monitor_check_id' in params:
path_params['monitorCheckId'] = params['monitor_check_id'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json', 'application/xml']) # noqa: E501
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501
['application/json', 'application/xml']) # noqa: E501
# Authentication setting
auth_settings = ['basicauth'] # noqa: E501
return self.api_client.call_api(
'/MonitorCheck/{monitorCheckId}/MultiStepAPI', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='MsaDetailsResponse', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def monitor_check_get_screenshots(self, monitor_check_id, screenshot_id, **kwargs): # noqa: E501
"""Gets a specific screenshot for a specified monitor check # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.monitor_check_get_screenshots(monitor_check_id, screenshot_id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param int monitor_check_id: The monitor check Id to get the screenshot data for. (required)
:param str screenshot_id: The screenshot Id of the screenshot to get. (required)
:return: ScreenshotResponse
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.monitor_check_get_screenshots_with_http_info(monitor_check_id, screenshot_id, **kwargs) # noqa: E501
else:
(data) = self.monitor_check_get_screenshots_with_http_info(monitor_check_id, screenshot_id, **kwargs) # noqa: E501
return data
def monitor_check_get_screenshots_with_http_info(self, monitor_check_id, screenshot_id, **kwargs): # noqa: E501
"""Gets a specific screenshot for a specified monitor check # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.monitor_check_get_screenshots_with_http_info(monitor_check_id, screenshot_id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param int monitor_check_id: The monitor check Id to get the screenshot data for. (required)
:param str screenshot_id: The screenshot Id of the screenshot to get. (required)
:return: ScreenshotResponse
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['monitor_check_id', 'screenshot_id'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method monitor_check_get_screenshots" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'monitor_check_id' is set
if ('monitor_check_id' not in params or
params['monitor_check_id'] is None):
raise ValueError("Missing the required parameter `monitor_check_id` when calling `monitor_check_get_screenshots`") # noqa: E501
# verify the required parameter 'screenshot_id' is set
if ('screenshot_id' not in params or
params['screenshot_id'] is None):
raise ValueError("Missing the required parameter `screenshot_id` when calling `monitor_check_get_screenshots`") # noqa: E501
collection_formats = {}
path_params = {}
if 'monitor_check_id' in params:
path_params['monitorCheckId'] = params['monitor_check_id'] # noqa: E501
if 'screenshot_id' in params:
path_params['screenshotId'] = params['screenshot_id'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json', 'application/xml']) # noqa: E501
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501
['application/json', 'application/xml']) # noqa: E501
# Authentication setting
auth_settings = ['basicauth'] # noqa: E501
return self.api_client.call_api(
'/MonitorCheck/{monitorCheckId}/Screenshot/{screenshotId}', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='ScreenshotResponse', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def monitor_check_get_single_monitor_check(self, monitor_check_id, **kwargs): # noqa: E501
"""Returns a single monitor check. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.monitor_check_get_single_monitor_check(monitor_check_id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param int monitor_check_id: The Id of the monitor check to get the data for. (required)
:return: SingleMonitorCheckResponse
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.monitor_check_get_single_monitor_check_with_http_info(monitor_check_id, **kwargs) # noqa: E501
else:
(data) = self.monitor_check_get_single_monitor_check_with_http_info(monitor_check_id, **kwargs) # noqa: E501
return data
def monitor_check_get_single_monitor_check_with_http_info(self, monitor_check_id, **kwargs): # noqa: E501
"""Returns a single monitor check. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.monitor_check_get_single_monitor_check_with_http_info(monitor_check_id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param int monitor_check_id: The Id of the monitor check to get the data for. (required)
:return: SingleMonitorCheckResponse
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['monitor_check_id'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method monitor_check_get_single_monitor_check" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'monitor_check_id' is set
if ('monitor_check_id' not in params or
params['monitor_check_id'] is None):
raise ValueError("Missing the required parameter `monitor_check_id` when calling `monitor_check_get_single_monitor_check`") # noqa: E501
collection_formats = {}
path_params = {}
if 'monitor_check_id' in params:
path_params['monitorCheckId'] = params['monitor_check_id'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json', 'application/xml']) # noqa: E501
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501
['application/json', 'application/xml']) # noqa: E501
# Authentication setting
auth_settings = ['basicauth'] # noqa: E501
return self.api_client.call_api(
'/MonitorCheck/{monitorCheckId}', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='SingleMonitorCheckResponse', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def monitor_check_get_transaction_details(self, monitor_check_id, **kwargs): # noqa: E501
"""Returns transaction step details for a monitor check. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.monitor_check_get_transaction_details(monitor_check_id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param int monitor_check_id: The monitor check Id to get the detailed data for. (required)
:return: TransactionDetailsResponse
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.monitor_check_get_transaction_details_with_http_info(monitor_check_id, **kwargs) # noqa: E501
else:
(data) = self.monitor_check_get_transaction_details_with_http_info(monitor_check_id, **kwargs) # noqa: E501
return data
def monitor_check_get_transaction_details_with_http_info(self, monitor_check_id, **kwargs): # noqa: E501
"""Returns transaction step details for a monitor check. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.monitor_check_get_transaction_details_with_http_info(monitor_check_id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param int monitor_check_id: The monitor check Id to get the detailed data for. (required)
:return: TransactionDetailsResponse
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['monitor_check_id'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method monitor_check_get_transaction_details" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'monitor_check_id' is set
if ('monitor_check_id' not in params or
params['monitor_check_id'] is None):
raise ValueError("Missing the required parameter `monitor_check_id` when calling `monitor_check_get_transaction_details`") # noqa: E501
collection_formats = {}
path_params = {}
if 'monitor_check_id' in params:
path_params['monitorCheckId'] = params['monitor_check_id'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json', 'application/xml']) # noqa: E501
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501
['application/json', 'application/xml']) # noqa: E501
# Authentication setting
auth_settings = ['basicauth'] # noqa: E501
return self.api_client.call_api(
'/MonitorCheck/{monitorCheckId}/Transaction', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='TransactionDetailsResponse', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def monitor_check_get_waterfall_info(self, monitor_check_id, **kwargs): # noqa: E501
"""Returns waterfall information for a monitor check. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.monitor_check_get_waterfall_info(monitor_check_id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param int monitor_check_id: The monitor check Id to get the detailed data for. (required)
:param int step: For transaction waterfalls only: the transaction step to get the waterfall for.
:return: WaterfallResponse
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.monitor_check_get_waterfall_info_with_http_info(monitor_check_id, **kwargs) # noqa: E501
else:
(data) = self.monitor_check_get_waterfall_info_with_http_info(monitor_check_id, **kwargs) # noqa: E501
return data
def monitor_check_get_waterfall_info_with_http_info(self, monitor_check_id, **kwargs): # noqa: E501
"""Returns waterfall information for a monitor check. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.monitor_check_get_waterfall_info_with_http_info(monitor_check_id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param int monitor_check_id: The monitor check Id to get the detailed data for. (required)
:param int step: For transaction waterfalls only: the transaction step to get the waterfall for.
:return: WaterfallResponse
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['monitor_check_id', 'step'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method monitor_check_get_waterfall_info" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'monitor_check_id' is set
if ('monitor_check_id' not in params or
params['monitor_check_id'] is None):
raise ValueError("Missing the required parameter `monitor_check_id` when calling `monitor_check_get_waterfall_info`") # noqa: E501
collection_formats = {}
path_params = {}
if 'monitor_check_id' in params:
path_params['monitorCheckId'] = params['monitor_check_id'] # noqa: E501
query_params = []
if 'step' in params:
query_params.append(('step', params['step'])) # noqa: E501
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json', 'application/xml']) # noqa: E501
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501
['application/json', 'application/xml']) # noqa: E501
# Authentication setting
auth_settings = ['basicauth'] # noqa: E501
return self.api_client.call_api(
'/MonitorCheck/{monitorCheckId}/Waterfall', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='WaterfallResponse', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
| 46.159722 | 321 | 0.642266 | 5,582 | 46,529 | 5.094411 | 0.043174 | 0.091149 | 0.049232 | 0.022787 | 0.963111 | 0.953968 | 0.949538 | 0.938988 | 0.935612 | 0.926891 | 0 | 0.015804 | 0.2711 | 46,529 | 1,007 | 322 | 46.205561 | 0.822674 | 0.349008 | 0 | 0.796733 | 0 | 0.010889 | 0.239952 | 0.06487 | 0 | 0 | 0 | 0 | 0 | 1 | 0.034483 | false | 0 | 0.00726 | 0 | 0.092559 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
55a84a1d4372ca20c7b118efbacbb1c5d0ae1ca4 | 40,874 | py | Python | kmodels.py | yuzzfeng/MapGen | 21e8266fda71edb37fcb886b836e80d17b7fd4fc | [
"MIT"
] | null | null | null | kmodels.py | yuzzfeng/MapGen | 21e8266fda71edb37fcb886b836e80d17b7fd4fc | [
"MIT"
] | null | null | null | kmodels.py | yuzzfeng/MapGen | 21e8266fda71edb37fcb886b836e80d17b7fd4fc | [
"MIT"
] | null | null | null | import keras
from keras import backend as K
from keras.models import Model
from keras.models import Sequential
from keras.layers.core import Dropout
from keras.layers import Input, Conv2D, Dropout, UpSampling2D, Activation, Concatenate, Add
from keras.layers import MaxPooling2D, Conv2DTranspose, BatchNormalization, Activation
from keras.callbacks import History
from keras import regularizers
from keras.regularizers import Regularizer
from keras.layers import Layer
import keras.backend as K
def res_block(x, nb_filters, strides):
res_path = BatchNormalization()(x)
res_path = Activation(activation='relu')(res_path)
res_path = Conv2D(filters=nb_filters[0], kernel_size=(3, 3), padding='same', strides=strides[0])(res_path)
res_path = BatchNormalization()(res_path)
res_path = Activation(activation='relu')(res_path)
res_path = Conv2D(filters=nb_filters[1], kernel_size=(3, 3), padding='same', strides=strides[1])(res_path)
shortcut = Conv2D(nb_filters[1], kernel_size=(1, 1), strides=strides[0])(x)
shortcut = BatchNormalization()(shortcut)
res_path = Add([shortcut, res_path])
return res_path
def decoder(x, from_encoder):
main_path = UpSampling2D(size=(2, 2))(x)
main_path = Concatenate([main_path, from_encoder[2]], axis=3)
main_path = res_block(main_path, [256, 256], [(1, 1), (1, 1)])
main_path = UpSampling2D(size=(2, 2))(main_path)
main_path = Concatenate([main_path, from_encoder[1]], axis=3)
main_path = res_block(main_path, [128, 128], [(1, 1), (1, 1)])
main_path = UpSampling2D(size=(2, 2))(main_path)
main_path = Concatenate([main_path, from_encoder[0]], axis=3)
main_path = res_block(main_path, [64, 64], [(1, 1), (1, 1)])
return main_path
def encoder(x):
to_decoder = []
main_path = Conv2D(filters=64, kernel_size=(3, 3), padding='same', strides=(1, 1))(x)
main_path = BatchNormalization()(main_path)
main_path = Activation(activation='relu')(main_path)
main_path = Conv2D(filters=64, kernel_size=(3, 3), padding='same', strides=(1, 1))(main_path)
shortcut = Conv2D(filters=64, kernel_size=(1, 1), strides=(1, 1))(x)
shortcut = BatchNormalization()(shortcut)
main_path = Add([shortcut, main_path])
# first branching to decoder
to_decoder.append(main_path)
main_path = res_block(main_path, [128, 128], [(2, 2), (1, 1)])
to_decoder.append(main_path)
main_path = res_block(main_path, [256, 256], [(2, 2), (1, 1)])
to_decoder.append(main_path)
return to_decoder
def build_res_unet(input_shape):
inputs = Input(shape=input_shape)
to_decoder = encoder(inputs)
path = res_block(to_decoder[2], [512, 512], [(2, 2), (1, 1)])
path = decoder(path, from_encoder=to_decoder)
path = Conv2D(filters=1, kernel_size=(1, 1), activation='sigmoid')(path)
return Model(input=inputs, output=path)
##### Building the CNN archıtecture with "Model" - skip connections were added
def create_model_residual(optimizer, input_shape, drop_rate = 0.1):
model = build_res_unet(input_shape)
model.compile(optimizer=optimizer,
loss = 'binary_crossentropy',
metrics=['acc'])
return model
'''
Comparision of the loss functions
'binary_crossentropy' > dice_coef
'''
class Round(Layer):
def __init__(self, **kwargs):
super(Round, self).__init__(**kwargs)
def get_output(self, train=False):
X = self.get_input(train)
return K.round(X)
def get_config(self):
config = {"name": self.__class__.__name__}
base_config = super(Round, self).get_config()
return dict(list(base_config.items()) + list(config.items()))
def dice_coef(y_true, y_pred):
'''
Params: y_true -- the labeled mask corresponding to an rgb image
y_pred -- the predicted mask of an rgb image
Returns: dice_coeff -- A metric that accounts for precision and recall
on the scale from 0 - 1. The closer to 1, the
better.
Citation (MIT License): https://github.com/jocicmarko/
ultrasound-nerve-segmentation/blob/
master/train.py
'''
y_true_f = K.flatten(y_true)
y_pred_f = K.flatten(y_pred)
intersection = K.sum(y_true_f * y_pred_f)
smooth = 1.0
return (2.0*intersection+smooth)/(K.sum(y_true_f)+K.sum(y_pred_f)+smooth)
def dice_coef_loss(y_true, y_pred):
'''
Params: y_true -- the labeled mask corresponding to an rgb image
y_pred -- the predicted mask of an rgb image
Returns: 1 - dice_coeff -- a negation of the dice coefficient on
the scale from 0 - 1. The closer to 0, the
better.
Citation (MIT License): https://github.com/jocicmarko/
ultrasound-nerve-segmentation/blob/
master/train.py
'''
return 1-dice_coef(y_true, y_pred)
class linf_reg(Regularizer):
def __init__(self, l1=0., l2=0.):
self.l1 = l1
self.l2 = l2
def set_layer(self, layer):
self.layer = layer
def __call__(self, loss):
output = self.layer.get_output(True)
return K.sum(K.max(K.abs(output), axis=0))
#loss += self.l1 * K.sum(K.mean(K.abs(output), axis=0))
#loss += self.l2 * K.sum(K.mean(K.square(output), axis=0))
#return loss
def get_config(self):
return {"name": self.__class__.__name__,
"l1": self.l1,
"l2": self.l2}
class linf_reg_weight(Regularizer):
"""Regularizer for L1 and L2 regularization.
# Arguments
l1: Float; L1 regularization factor.
l2: Float; L2 regularization factor.
"""
def __init__(self, l1=0., l2=0.):
self.l1 = K.cast_to_floatx(l1)
self.l2 = K.cast_to_floatx(l2)
def __call__(self, x):
return K.max(K.abs(x))
def get_config(self):
return {'l1': float(self.l1),
'l2': float(self.l2)}
# Current testing
def create_model_add_skips_linfnorm(optimizer, input_shape, drop_rate = 0.1):
def linf_reg(x):
return K.max(K.abs(x))
i = Input(shape=input_shape)
x = Conv2D(filters=24, kernel_size=(3, 3),
strides=(1, 1), padding='same',
activation='relu', input_shape=input_shape, kernel_initializer='random_uniform',
name="flat_conv_a")(i)
first_skip = Conv2D(filters=24, kernel_size=(3, 3),
strides=(1, 1), padding='same',
activation='relu',name="flat_conv_b")(x)
x = Conv2D(filters=24, kernel_size=(3, 3),
strides=(2, 2), padding='same',
activation='relu', name="down_conv_1", kernel_regularizer=linf_reg)(first_skip)
#x = Dropout(drop_rate)(x) ################################################# First Drop
x = Conv2D(filters=64, kernel_size=(3, 3),
strides=(1, 1), padding='same',
activation='relu', name="flat_conv_1")(x)
second_skip = Conv2D(filters=64, kernel_size=(3, 3),
strides=(1, 1), padding='same',
activation='relu', name="flat_conv_2")(x)
x = Conv2D(filters=64, kernel_size=(3, 3),
strides=(2, 2), padding='same',
activation='relu', name="down_conv_2", kernel_regularizer=linf_reg)(second_skip)
#x = Dropout(drop_rate)(x) ################################################# Second Drop
x = Conv2D(filters=128, kernel_size=(3, 3),
strides=(1, 1), padding='same',
activation='relu', name="flat_conv_3")(x)
x = Conv2D(filters=128, kernel_size=(3, 3),
strides=(1, 1), padding='same',
activation='relu', name="flat_conv_4")(x)
x = Conv2D(filters=128, kernel_size=(3, 3),
strides=(1, 1), padding='same',
activation='relu', name="xx_conv_3", kernel_regularizer=linf_reg)(x)
#x = Dropout(drop_rate)(x) ################################################# Third Drop
x = Conv2D(filters=256, kernel_size=(3, 3),
strides=(1, 1), padding='same',
activation='relu', name="flat_conv_5")(x)
x = Conv2D(filters=256, kernel_size=(3, 3),
strides=(1, 1), padding='same',
activation='relu', name="flat_conv_6")(x)
x = Conv2D(filters=256, kernel_size=(3, 3),
strides=(1, 1), padding='same',
activation='relu', name="flat_conv_7", kernel_regularizer=linf_reg)(x)
x = Dropout(drop_rate)(x) ################################################# 4th Drop
x = Conv2D(filters=128, kernel_size=(3, 3),
strides=(1, 1), padding='same',
activation='relu', name="xx_conv_0")(x)
x = Conv2D(filters=128, kernel_size=(3, 3),
strides=(1, 1), padding='same',
activation='relu', name="flat_conv_8")(x)
x = Conv2D(filters=128, kernel_size=(3, 3),
strides=(1, 1), padding='same',
activation='relu', name="flat_conv_8b", kernel_regularizer=linf_reg)(x)
#x = Dropout(drop_rate)(x) ################################################# 5th Drop
x = UpSampling2D(size=(2, 2), name='up_samp_1')(x)
x = Conv2D(filters=64, kernel_size=(4, 4),
strides=(1, 1), padding='same',
activation='relu', name="up_conv_1")(x)
concat = Concatenate()([second_skip, x])
x = Conv2D(filters=64, kernel_size=(1, 1),
strides=(1, 1), padding='same',
activation='relu', name="flat_conv_9")(concat)
x = Conv2D(filters=64, kernel_size=(3, 3),
strides=(1, 1), padding='same',
activation='relu', name="flat_conv_10", kernel_regularizer=linf_reg)(x)
#x = Dropout(drop_rate)(x) ################################################# 6th Drop
x = UpSampling2D(size=(2, 2), name='up_samp_2')(x)
x = Conv2D(filters=24, kernel_size=(4, 4),
strides=(1, 1), padding='same',
activation='relu', name="up_conv_2")(x)
concat2 = Concatenate()([first_skip, x])
x = Conv2D(filters=12, kernel_size=(1, 1),
strides=(1, 1), padding='same',
activation='relu', name="flat_conv_11")(concat2)
x = Conv2D(filters=12, kernel_size=(3, 3),
strides=(1, 1), padding='same',
activation='relu', name="flat_conv_11b", kernel_regularizer=linf_reg)(x)
#x = Dropout(drop_rate)(x) ################################################# 7th Drop
o = Conv2D(filters=1, kernel_size=(3, 3),
strides=(1, 1), padding='same',
activation='sigmoid', name="flat_conv_12", kernel_regularizer=linf_reg)(x)
o = Round()(o)
model = Model(inputs=i, outputs=o)
# Compile model with Adam optimizer and binary cross entropy loss function
#model.compile(optimizer=optimizer,
# loss = 'binary_crossentropy', #loss=IoU, #'binary_crossentropy'
# metrics=['acc', IoU])
#def linf_loss(yTrue,yPred):
# return K.max(K.abs(yTrue - yPred))
model.compile(optimizer=optimizer,
loss = 'binary_crossentropy', #dice_coef_loss, #'sparse_categorical_crossentropy', #'mse', #'binary_crossentropy',
metrics = ['acc'])
return model
##### Building the CNN archıtecture with "Model" - skip connections were added
def create_model_add_skips_3(optimizer, input_shape, drop_rate = 0.1):
i = Input(shape=input_shape)
x = Conv2D(filters=24, kernel_size=(3, 3),
strides=(1, 1), padding='same',
activation='relu', input_shape=input_shape, kernel_initializer='random_uniform',
name="flat_conv_a")(i)
first_skip = Conv2D(filters=24, kernel_size=(3, 3),
strides=(1, 1), padding='same',
activation='relu',name="flat_conv_b")(x)
x = Conv2D(filters=24, kernel_size=(3, 3),
strides=(1, 1), padding='same',
activation='relu',
name="down_conv_1")(first_skip)
x = MaxPooling2D(pool_size=2, strides=2, name='max_pool_1')(x)
#x = Dropout(drop_rate)(x) ################################################# First Drop
x = Conv2D(filters=64, kernel_size=(3, 3),
strides=(1, 1), padding='same',
activation='relu', name="flat_conv_1")(x)
second_skip = Conv2D(filters=64, kernel_size=(3, 3),
strides=(1, 1), padding='same',
activation='relu', name="flat_conv_2")(x)
x = Conv2D(filters=64, kernel_size=(3, 3),
strides=(1, 1), padding='same',
activation='relu', name="down_conv_2")(second_skip)
x = MaxPooling2D(pool_size=2, strides=2, name='max_pool_2')(x)
#x = Dropout(drop_rate)(x) ################################################# Second Drop
x = Conv2D(filters=128, kernel_size=(3, 3),
strides=(1, 1), padding='same',
activation='relu', name="flat_conv_3")(x)
x = Conv2D(filters=128, kernel_size=(3, 3),
strides=(1, 1), padding='same',
activation='relu', name="flat_conv_4")(x)
x = Conv2D(filters=128, kernel_size=(3, 3),
strides=(1, 1), padding='same',
activation='relu', name="xx_conv_3")(x)
#x = Dropout(drop_rate)(x) ################################################# Third Drop
x = Conv2D(filters=256, kernel_size=(3, 3),
strides=(1, 1), padding='same',
activation='relu', name="flat_conv_5")(x)
x = Conv2D(filters=256, kernel_size=(3, 3),
strides=(1, 1), padding='same',
activation='relu', name="flat_conv_6")(x)
x = Conv2D(filters=256, kernel_size=(3, 3),
strides=(1, 1), padding='same',
activation='relu', name="flat_conv_7")(x)
x = Dropout(drop_rate)(x) ################################################# 4th Drop
x = Conv2D(filters=128, kernel_size=(3, 3),
strides=(1, 1), padding='same',
activation='relu', name="xx_conv_0")(x)
x = Conv2D(filters=128, kernel_size=(3, 3),
strides=(1, 1), padding='same',
activation='relu', name="flat_conv_8")(x)
x = Conv2D(filters=128, kernel_size=(3, 3),
strides=(1, 1), padding='same',
activation='relu', name="flat_conv_8b")(x)
#x = Dropout(drop_rate)(x) ################################################# 5th Drop
x = UpSampling2D(size=(2, 2), name='up_samp_1')(x)
x = Conv2D(filters=64, kernel_size=(4, 4),
strides=(1, 1), padding='same',
activation='relu', name="up_conv_1")(x)
concat = Concatenate()([second_skip, x])
x = Conv2D(filters=64, kernel_size=(1, 1),
strides=(1, 1), padding='same',
activation='relu', name="flat_conv_9")(concat)
x = Conv2D(filters=64, kernel_size=(3, 3),
strides=(1, 1), padding='same',
activation='relu', name="flat_conv_10")(x)
#x = Dropout(drop_rate)(x) ################################################# 6th Drop
x = UpSampling2D(size=(2, 2), name='up_samp_2')(x)
x = Conv2D(filters=24, kernel_size=(4, 4),
strides=(1, 1), padding='same',
activation='relu', name="up_conv_2")(x)
concat2 = Concatenate()([first_skip, x])
x = Conv2D(filters=12, kernel_size=(1, 1),
strides=(1, 1), padding='same',
activation='relu', name="flat_conv_11")(concat2)
x = Conv2D(filters=12, kernel_size=(3, 3),
strides=(1, 1), padding='same',
activation='relu', name="flat_conv_11b")(x)
#x = Dropout(drop_rate)(x) ################################################# 7th Drop
o = Conv2D(filters=1, kernel_size=(3, 3),
strides=(1, 1), padding='same',
activation='sigmoid', name="flat_conv_12")(x)
model = Model(inputs=i, outputs=o)
# Compile model with Adam optimizer and binary cross entropy loss function
#model.compile(optimizer=optimizer,
# loss = 'binary_crossentropy', #loss=IoU, #'binary_crossentropy'
# metrics=['acc', IoU])
model.compile(optimizer=optimizer,
loss = 'binary_crossentropy',
metrics=['acc'])
return model
##### Building the CNN archıtecture with "Model" - skip connections were added
def create_model_add_skips_2(optimizer, input_shape, drop_rate = 0.1): # ISPRS TCIV
i = Input(shape=input_shape)
x = Conv2D(filters=24, kernel_size=(3, 3),
strides=(1, 1), padding='same',
activation='relu', input_shape=input_shape, kernel_initializer='random_uniform',
name="flat_conv_a")(i)
first_skip = Conv2D(filters=24, kernel_size=(3, 3),
strides=(1, 1), padding='same',
activation='relu',name="flat_conv_b")(x)
x = Conv2D(filters=24, kernel_size=(3, 3),
strides=(2, 2), padding='same',
activation='relu',
name="down_conv_1")(first_skip)
#x = Dropout(drop_rate)(x) ################################################# First Drop
x = Conv2D(filters=64, kernel_size=(3, 3),
strides=(1, 1), padding='same',
activation='relu', name="flat_conv_1")(x)
second_skip = Conv2D(filters=64, kernel_size=(3, 3),
strides=(1, 1), padding='same',
activation='relu', name="flat_conv_2")(x)
x = Conv2D(filters=64, kernel_size=(3, 3),
strides=(2, 2), padding='same',
activation='relu', name="down_conv_2")(second_skip)
#x = Dropout(drop_rate)(x) ################################################# Second Drop
x = Conv2D(filters=128, kernel_size=(3, 3),
strides=(1, 1), padding='same',
activation='relu', name="flat_conv_3")(x)
x = Conv2D(filters=128, kernel_size=(3, 3),
strides=(1, 1), padding='same',
activation='relu', name="flat_conv_4")(x)
x = Conv2D(filters=128, kernel_size=(3, 3),
strides=(1, 1), padding='same',
activation='relu', name="xx_conv_3")(x)
#x = Dropout(drop_rate)(x) ################################################# Third Drop
x = Conv2D(filters=256, kernel_size=(3, 3),
strides=(1, 1), padding='same',
activation='relu', name="flat_conv_5")(x)
x = Conv2D(filters=256, kernel_size=(3, 3),
strides=(1, 1), padding='same',
activation='relu', name="flat_conv_6")(x)
x = Conv2D(filters=256, kernel_size=(3, 3),
strides=(1, 1), padding='same',
activation='relu', name="flat_conv_7")(x)
x = Dropout(drop_rate)(x) ################################################# 4th Drop
x = Conv2D(filters=128, kernel_size=(3, 3),
strides=(1, 1), padding='same',
activation='relu', name="xx_conv_0")(x)
x = Conv2D(filters=128, kernel_size=(3, 3),
strides=(1, 1), padding='same',
activation='relu', name="flat_conv_8")(x)
x = Conv2D(filters=128, kernel_size=(3, 3),
strides=(1, 1), padding='same',
activation='relu', name="flat_conv_8b")(x)
#x = Dropout(drop_rate)(x) ################################################# 5th Drop
x = UpSampling2D(size=(2, 2), name='up_samp_1')(x)
x = Conv2D(filters=64, kernel_size=(4, 4),
strides=(1, 1), padding='same',
activation='relu', name="up_conv_1")(x)
concat = Concatenate()([second_skip, x])
x = Conv2D(filters=64, kernel_size=(1, 1),
strides=(1, 1), padding='same',
activation='relu', name="flat_conv_9")(concat)
x = Conv2D(filters=64, kernel_size=(3, 3),
strides=(1, 1), padding='same',
activation='relu', name="flat_conv_10")(x)
#x = Dropout(drop_rate)(x) ################################################# 6th Drop
x = UpSampling2D(size=(2, 2), name='up_samp_2')(x)
x = Conv2D(filters=24, kernel_size=(4, 4),
strides=(1, 1), padding='same',
activation='relu', name="up_conv_2")(x)
concat2 = Concatenate()([first_skip, x])
x = Conv2D(filters=12, kernel_size=(1, 1),
strides=(1, 1), padding='same',
activation='relu', name="flat_conv_11")(concat2)
x = Conv2D(filters=12, kernel_size=(3, 3),
strides=(1, 1), padding='same',
activation='relu', name="flat_conv_11b")(x)
#x = Dropout(drop_rate)(x) ################################################# 7th Drop
o = Conv2D(filters=1, kernel_size=(3, 3),
strides=(1, 1), padding='same',
activation='sigmoid', name="flat_conv_12")(x)
model = Model(inputs=i, outputs=o)
# Compile model with Adam optimizer and binary cross entropy loss function
#model.compile(optimizer=optimizer,
# loss = 'binary_crossentropy', #loss=IoU, #'binary_crossentropy'
# metrics=['acc', IoU])
model.compile(optimizer=optimizer,
loss = 'binary_crossentropy',
metrics=['acc'])
return model
##### Building the CNN archıtecture with "Model" - skip connections were added
def create_model_add_skips(optimizer, input_shape, drop_rate = 0.3):
i = Input(shape=input_shape)
x = Conv2D(filters=24, kernel_size=(3, 3),
strides=(1, 1), padding='same',
activation='relu', input_shape=input_shape, kernel_initializer='random_uniform',
name="flat_conv_a")(i)
first_skip = Conv2D(filters=24, kernel_size=(3, 3),
strides=(1, 1), padding='same',
activation='relu',name="flat_conv_b")(x)
x = Conv2D(filters=24, kernel_size=(3, 3),
strides=(2, 2), padding='same',
activation='relu',
name="down_conv_1")(first_skip)
x = Dropout(drop_rate)(x) ################################################# First Drop
x = Conv2D(filters=64, kernel_size=(3, 3),
strides=(1, 1), padding='same',
activation='relu', name="flat_conv_1")(x)
second_skip = Conv2D(filters=64, kernel_size=(3, 3),
strides=(1, 1), padding='same',
activation='relu', name="flat_conv_2")(x)
x = Conv2D(filters=64, kernel_size=(3, 3),
strides=(2, 2), padding='same',
activation='relu', name="down_conv_2")(second_skip)
x = Dropout(drop_rate)(x) ################################################# Second Drop
x = Conv2D(filters=128, kernel_size=(3, 3),
strides=(1, 1), padding='same',
activation='relu', name="flat_conv_3")(x)
third_skip = Conv2D(filters=128, kernel_size=(3, 3),
strides=(1, 1), padding='same',
activation='relu', name="flat_conv_4")(x)
x = Conv2D(filters=128, kernel_size=(3, 3),
strides=(2, 2), padding='same',
activation='relu', name="down_conv_3")(third_skip)
x = Dropout(drop_rate)(x) ################################################# Third Drop
x = Conv2D(filters=256, kernel_size=(3, 3),
strides=(1, 1), padding='same',
activation='relu', name="flat_conv_5")(x)
x = Conv2D(filters=256, kernel_size=(3, 3),
strides=(1, 1), padding='same',
activation='relu', name="flat_conv_6")(x)
x = Conv2D(filters=256, kernel_size=(3, 3),
strides=(1, 1), padding='same',
activation='relu', name="flat_conv_7")(x)
x = Dropout(drop_rate)(x) ################################################# 4th Drop
x = UpSampling2D(size=(2, 2), name='up_samp_0')(x)
x = Conv2D(filters=128, kernel_size=(4, 4),
strides=(1, 1), padding='same',
activation='relu', name="up_conv_0")(x)
concat0 = Concatenate()([third_skip, x])
x = Conv2D(filters=128, kernel_size=(1, 1),
strides=(1, 1), padding='same',
activation='relu', name="flat_conv_8")(concat0)
x = Conv2D(filters=128, kernel_size=(3, 3),
strides=(1, 1), padding='same',
activation='relu', name="flat_conv_8b")(x)
x = Dropout(drop_rate)(x) ################################################# 5th Drop
x = UpSampling2D(size=(2, 2), name='up_samp_1')(x)
x = Conv2D(filters=64, kernel_size=(4, 4),
strides=(1, 1), padding='same',
activation='relu', name="up_conv_1")(x)
concat = Concatenate()([second_skip, x])
x = Conv2D(filters=64, kernel_size=(1, 1),
strides=(1, 1), padding='same',
activation='relu', name="flat_conv_9")(concat)
x = Conv2D(filters=64, kernel_size=(3, 3),
strides=(1, 1), padding='same',
activation='relu', name="flat_conv_10")(x)
x = Dropout(drop_rate)(x) ################################################# 6th Drop
x = UpSampling2D(size=(2, 2), name='up_samp_2')(x)
x = Conv2D(filters=24, kernel_size=(4, 4),
strides=(1, 1), padding='same',
activation='relu', name="up_conv_2")(x)
concat2 = Concatenate()([first_skip, x])
x = Conv2D(filters=12, kernel_size=(1, 1),
strides=(1, 1), padding='same',
activation='relu', name="flat_conv_11")(concat2)
x = Conv2D(filters=12, kernel_size=(3, 3),
strides=(1, 1), padding='same',
activation='relu', name="flat_conv_11b")(x)
x = Dropout(drop_rate)(x) ################################################# 7th Drop
o = Conv2D(filters=1, kernel_size=(3, 3),
strides=(1, 1), padding='same',
activation='sigmoid', name="flat_conv_12")(x)
model = Model(inputs=i, outputs=o)
# Compile model with Adam optimizer and binary cross entropy loss function
model.compile(optimizer=optimizer,
loss='binary_crossentropy',
metrics=['acc'])
return model
## Building the CNN archıtecture with "Sequential Model" (model looks like autoencoder)
## Version with batch normalozation - Do not benifit that much
def create_model_batch(optimizer, input_shape):
model = Sequential()
droprate = 0.1
model.add(Conv2D(filters=24, kernel_size=(3, 3),
strides=(1, 1), padding='same',
input_shape=input_shape, kernel_initializer='random_uniform', name="flat_conv_a"))
model.add(BatchNormalization())
model.add(Activation('relu'))
model.add(Dropout(droprate))
model.add(Conv2D(filters=24, kernel_size=(3, 3),
strides=(1, 1), padding='same', name="flat_conv_b"))
model.add(BatchNormalization())
model.add(Activation('relu'))
model.add(Dropout(droprate))
## Encoding (down-sampling) ###
model.add(Conv2D(filters=24, kernel_size=(3, 3),
strides=(2, 2), padding='same',
name="down_conv_1"))
model.add(BatchNormalization())
model.add(Activation('relu'))
model.add(Dropout(droprate))
model.add(Conv2D(filters=64, kernel_size=(3, 3),
strides=(1, 1), padding='same',
name="flat_conv_1"))
model.add(BatchNormalization())
model.add(Activation('relu'))
model.add(Dropout(droprate))
model.add(Conv2D(filters=64, kernel_size=(3, 3),
strides=(1, 1), padding='same',
name="flat_conv_2"))
model.add(BatchNormalization())
model.add(Activation('relu'))
model.add(Dropout(droprate))
## Encoding (down-sampling) ###
model.add(Conv2D(filters=64, kernel_size=(3, 3),
strides=(2, 2), padding='same',
name="down_conv_2"))
model.add(BatchNormalization())
model.add(Activation('relu'))
model.add(Dropout(droprate))
model.add(Conv2D(filters=128, kernel_size=(3, 3),
strides=(1, 1), padding='same',
name="flat_conv_3"))
model.add(BatchNormalization())
model.add(Activation('relu'))
model.add(Dropout(droprate))
model.add(Conv2D(filters=256, kernel_size=(3, 3),
strides=(1, 1), padding='same',
name="flat_conv_4"))
model.add(BatchNormalization())
model.add(Activation('relu'))
model.add(Dropout(droprate))
model.add(Conv2D(filters=256, kernel_size=(3, 3),
strides=(1, 1), padding='same',
name="flat_conv_5"))
model.add(BatchNormalization())
model.add(Activation('relu'))
model.add(Dropout(droprate))
model.add(Conv2D(filters=256, kernel_size=(3, 3),
strides=(1, 1), padding='same',
name="flat_conv_6"))
model.add(BatchNormalization())
model.add(Activation('relu'))
model.add(Dropout(droprate))
model.add(Conv2D(filters=512, kernel_size=(3, 3),
strides=(1, 1), padding='same',
name="flat_conv_6a"))
model.add(BatchNormalization())
model.add(Activation('relu'))
model.add(Dropout(droprate))
model.add(Conv2D(filters=512, kernel_size=(3, 3),
strides=(1, 1), padding='same',
name="flat_conv_6b"))
model.add(BatchNormalization())
model.add(Activation('relu'))
model.add(Dropout(droprate))
model.add(Conv2D(filters=512, kernel_size=(3, 3),
strides=(1, 1), padding='same',
name="flat_conv_6c"))
model.add(BatchNormalization())
model.add(Activation('relu'))
model.add(Dropout(droprate))
model.add(Conv2D(filters=256, kernel_size=(3, 3),
strides=(1, 1), padding='same',
name="flat_conv_7"))
model.add(BatchNormalization())
model.add(Activation('relu'))
model.add(Dropout(droprate))
model.add(Conv2D(filters=128, kernel_size=(3, 3),
strides=(1, 1), padding='same',
name="flat_conv_8"))
model.add(BatchNormalization())
model.add(Activation('relu'))
model.add(Dropout(droprate))
###############################################################################
model.add(UpSampling2D(size=(2, 2), name='up_samp_1'))
model.add(Conv2D(filters=64, kernel_size=(4, 4),
strides=(1, 1), padding='same',
name="up_conv_1"))
model.add(BatchNormalization())
model.add(Activation('relu'))
model.add(Dropout(droprate))
model.add(Conv2D(filters=64, kernel_size=(3, 3),
strides=(1, 1), padding='same',
name="flat_conv_9"))
model.add(BatchNormalization())
model.add(Activation('relu'))
model.add(Dropout(droprate))
model.add(Conv2D(filters=64, kernel_size=(3, 3),
strides=(1, 1), padding='same',
name="flat_conv_10"))
model.add(BatchNormalization())
model.add(Activation('relu'))
model.add(Dropout(droprate))
###############################################################################
model.add(UpSampling2D(size=(2, 2), name='up_samp_2'))
model.add(Conv2D(filters=24, kernel_size=(4, 4),
strides=(1, 1), padding='same',
name="up_conv_2"))
model.add(BatchNormalization())
model.add(Activation('relu'))
model.add(Dropout(droprate))
model.add(Conv2D(filters=12, kernel_size=(3, 3),
strides=(1, 1), padding='same',
name="flat_conv_11"))
model.add(BatchNormalization())
model.add(Activation('relu'))
model.add(Dropout(droprate))
model.add(Conv2D(filters=1, kernel_size=(3, 3),
strides=(1, 1), padding='same',
activation='sigmoid', name="flat_conv_12"))
# model.add(Activation(our_activation))
model.add(Dropout(droprate))
# Compile model with Adam optimizer and binary cross entropy loss function
model.compile(optimizer=optimizer,
loss='binary_crossentropy',
metrics=['acc'])
return model
##### Building the CNN archıtecture with "Sequential Model"
##### (model looks like autoencoder)
def create_model(optimizer, input_shape):
model = Sequential()
droprate = 0.1
model.add(Conv2D(filters=24, kernel_size=(3, 3),
strides=(1, 1), padding='same',
activation='relu', input_shape=input_shape, kernel_initializer='random_uniform',
name="flat_conv_a"))
#model.add(Dropout(droprate))
model.add(Conv2D(filters=24, kernel_size=(3, 3),
strides=(1, 1), padding='same',
activation='relu',name="flat_conv_b"))
#model.add(Dropout(droprate))
# model.add(Conv2D(filters=24, kernel_size=(3, 3),
# strides=(1, 1), padding='same',
# activation='relu',name="flat_conv_c"))
# model.add(MaxPooling2D(pool_size=(2, 2), strides=(2, 2), padding='same'))
# model.add(Dropout(droprate))
## Encoding (down-sampling) ###
model.add(Conv2D(filters=24, kernel_size=(3, 3),
strides=(2, 2), padding='same',
activation='relu', #input_shape=input_shape, kernel_initializer='random_uniform',
name="down_conv_1"))
model.add(Dropout(droprate))
model.add(Conv2D(filters=64, kernel_size=(3, 3),
strides=(1, 1), padding='same',
activation='relu', name="flat_conv_1"))
#model.add(Dropout(droprate))
model.add(Conv2D(filters=64, kernel_size=(3, 3),
strides=(1, 1), padding='same',
activation='relu', name="flat_conv_2"))
#model.add(Dropout(droprate))
##############################################################################
# model.add(Conv2D(filters=24, kernel_size=(3, 3),
# strides=(1, 1), padding='same',
# activation='relu',name="down_conv_2"))
# model.add(MaxPooling2D(pool_size=(2, 2), strides=(2, 2), padding='same'))
# model.add(Dropout(droprate))
model.add(Conv2D(filters=64, kernel_size=(3, 3),
strides=(2, 2), padding='same',
activation='relu', name="down_conv_2"))
model.add(Dropout(droprate))
model.add(Conv2D(filters=128, kernel_size=(3, 3),
strides=(1, 1), padding='same',
activation='relu', name="flat_conv_3"))
#model.add(Dropout(droprate))
model.add(Conv2D(filters=256, kernel_size=(3, 3),
strides=(1, 1), padding='same',
activation='relu', name="flat_conv_4"))
model.add(Dropout(droprate))
model.add(Conv2D(filters=256, kernel_size=(3, 3),
strides=(1, 1), padding='same',
activation='relu', name="flat_conv_5"))
#model.add(Dropout(droprate))
model.add(Conv2D(filters=256, kernel_size=(3, 3),
strides=(1, 1), padding='same',
activation='relu', name="flat_conv_6"))
model.add(Dropout(droprate))
model.add(Conv2D(filters=256, kernel_size=(3, 3),
strides=(1, 1), padding='same',
activation='relu', name="flat_conv_7"))
#model.add(Dropout(droprate))
model.add(Conv2D(filters=128, kernel_size=(3, 3),
strides=(1, 1), padding='same',
activation='relu', name="flat_conv_8"))
model.add(Dropout(droprate))
###############################################################################
model.add(UpSampling2D(size=(2, 2), name='up_samp_1'))
# model.add(Conv2DTranspose(filters=64, kernel_size=(3, 3), strides=(2, 2),
# padding='same', activation='softmax'))
model.add(Conv2D(filters=64, kernel_size=(4, 4),
strides=(1, 1), padding='same',
activation='relu', name="up_conv_1"))
model.add(Dropout(droprate))
model.add(Conv2D(filters=64, kernel_size=(3, 3),
strides=(1, 1), padding='same',
activation='relu', name="flat_conv_9"))
#model.add(Dropout(droprate))
model.add(Conv2D(filters=64, kernel_size=(3, 3),
strides=(1, 1), padding='same',
activation='relu', name="flat_conv_10"))
#model.add(Dropout(droprate))
###############################################################################
model.add(UpSampling2D(size=(2, 2), name='up_samp_2'))
# model.add(Conv2DTranspose(filters=64, kernel_size=(3, 3), strides=(2, 2), # Lead the accuracy to 0.78
# padding='same', activation='softmax'))
model.add(Conv2D(filters=24, kernel_size=(4, 4),
strides=(1, 1), padding='same',
activation='relu', name="up_conv_2"))
model.add(Dropout(droprate))
model.add(Conv2D(filters=12, kernel_size=(3, 3),
strides=(1, 1), padding='same',
activation='relu', name="flat_conv_11"))
#model.add(Dropout(droprate))
model.add(Conv2D(filters=1, kernel_size=(3, 3),
strides=(1, 1), padding='same',
activation='sigmoid', name="flat_conv_12"))
# model.add(Activation(our_activation))
#model.add(Dropout(droprate))
# Compile model with Adam optimizer and binary cross entropy loss function
model.compile(optimizer=optimizer,
loss = 'binary_crossentropy', #'mean_squared_error', #'binary_crossentropy', #loss=IoU, #'binary_crossentropy'
metrics=['acc']) #metrics=['acc', IoU])
return model
##################################################################################################################################
class LearningRateTracker(keras.callbacks.Callback):
def on_train_begin(self, logs={}):
self.lr_list = []
def on_epoch_end(self, epoch, logs={}):
optimizer = self.model.optimizer
# lr = K.eval(optimizer.lr * (1. / (1. + optimizer.decay * optimizer.iterations)))
lr = K.eval(
optimizer.lr * (1. / (1. + optimizer.decay * K.cast(optimizer.iterations, K.dtype(optimizer.decay)))))
print('\n LR: {}\n'.format(lr))
self.lr_list.append(lr)
##################################################################################################################################
class SaveWeights(keras.callbacks.Callback): # Saves weights after each 25 epochs
def on_epoch_end(self, epoch, logs={}):
if epoch % 49 == 0:
model_json = self.model.to_json()
with open("model_" + str(epoch) + ".json", "w") as json_file:
json_file.write(model_json)
self.model.save_weights("weights_model_" + str(epoch) + ".h5")
print("Saved model-weights to disk")
################################################################################################################################## | 40.914915 | 132 | 0.527866 | 4,801 | 40,874 | 4.332431 | 0.056863 | 0.014135 | 0.052356 | 0.090769 | 0.867837 | 0.857067 | 0.850192 | 0.833173 | 0.819135 | 0.808221 | 0 | 0.046915 | 0.275138 | 40,874 | 999 | 133 | 40.914915 | 0.655124 | 0.123844 | 0 | 0.757252 | 0 | 0 | 0.087605 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.041221 | false | 0 | 0.018321 | 0.006107 | 0.09771 | 0.003053 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
e96eea1274712836c9de1cce293692708926d420 | 145 | py | Python | igem_tuebingen_website/handlers/impressum.py | blue1stone/igem_tuebingen_website | f0fee8d1d92459b17892fbeed1cab8fbc714316f | [
"MIT"
] | null | null | null | igem_tuebingen_website/handlers/impressum.py | blue1stone/igem_tuebingen_website | f0fee8d1d92459b17892fbeed1cab8fbc714316f | [
"MIT"
] | null | null | null | igem_tuebingen_website/handlers/impressum.py | blue1stone/igem_tuebingen_website | f0fee8d1d92459b17892fbeed1cab8fbc714316f | [
"MIT"
] | null | null | null | from flask import render_template
from ..app import app
@app.route('/impressum')
def impressum():
return render_template("impressum.html")
| 18.125 | 44 | 0.751724 | 19 | 145 | 5.631579 | 0.578947 | 0.261682 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.131034 | 145 | 7 | 45 | 20.714286 | 0.849206 | 0 | 0 | 0 | 0 | 0 | 0.165517 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.2 | true | 0 | 0.4 | 0.2 | 0.8 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 7 |
e983ad0b6e46af8b90505fc7bb8085180952f4da | 5,616 | py | Python | 11_SPARKLE/Truncated_Differentials/generic.py | hellman/thesis | 6ba1c2b241e63c07cf76108481c1b67f21a50f12 | [
"MIT"
] | 19 | 2019-05-16T19:55:41.000Z | 2021-12-31T15:36:12.000Z | 11_SPARKLE/Truncated_Differentials/generic.py | hellman/thesis | 6ba1c2b241e63c07cf76108481c1b67f21a50f12 | [
"MIT"
] | 1 | 2021-08-09T11:26:45.000Z | 2021-08-09T11:26:45.000Z | 11_SPARKLE/Truncated_Differentials/generic.py | hellman/thesis | 6ba1c2b241e63c07cf76108481c1b67f21a50f12 | [
"MIT"
] | 1 | 2021-08-05T19:40:16.000Z | 2021-08-05T19:40:16.000Z | '''
$ time sage branch_matrix.py matrices/M8.txt >matrices/truncated_table_M8.txt
real 167m14.391s
New algorithm:
$ time sage branch_matrix.py matrices/M8.txt >matrices/truncated_table_M8.txt
real 5m26.168s
'''
from sage.all import *
from ttt import *
T = 4
MATRIX = GL(32, GF(2)).random_element().matrix() # random_matrix(GF(2), 32, 32)
AES_MC = [
[0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0],
[1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0],
[1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0],
[1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0],
[1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1],
[1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0],
[0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0],
[0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0],
[0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0],
[0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0],
[0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0],
[0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0],
[0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1],
[1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0],
[0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0],
[0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0],
[0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0],
[0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0],
[0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 1, 0],
[0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1],
[0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1],
[1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0],
[0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0],
[0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0],
[1, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0],
[1, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0],
[1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0],
[0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1],
[1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0],
]
MATRIX = matrix(GF(2), AES_MC)
M = MATRIX.nrows() // T
assert MATRIX.nrows() == MATRIX.ncols() == T * M
mask_card = compute_mask_cards(T, M)
transitions = compute_ttt(MATRIX, T=T, M=M, debug=False, output_format="pair")
for inp in sorted(transitions):
print inp
for out in sorted(transitions[inp]):
generic = (mask_card[sum(out)], 2**(T*M)-1)
vs = cmp(QQ(transitions[inp][out]), QQ(generic))
print " ", out, "0x%x / 0x%x" % transitions[inp][out],
print "<=>"[(vs+1)],
print "generic", "0x%x / 0x%x" % generic, math.log(QQ(generic), 2) if QQ(generic) else "0"
epsilon = 0.1
format = "frac"
transitions = compute_ttt(MATRIX, T=T, M=M, debug=False, output_format=format)
prevrno = None
for rno, prob, generic, trail in best_truncated_trails(transitions, branch_size=M, transitions_format=format):
if rno != prevrno:
print "%d rounds:" % rno
prevrno = rno
print " ",
print " -> ".join(map(str, trail)), ":",
print "%10s" % prob, "vs", generic
if 1:
format = "frac"
transitions = compute_ttt(MATRIX, T=T, M=M, debug=False, output_format=format)
prevrno = None
# vec = [0] * T
# vec[0] = 1
# for rno, prob, generic, trail in best_truncated_hulls(vec, transitions, branch_size=M, transitions_format=format):
for rno, prob, generic, trail in best_truncated_hulls_all(transitions, branch_size=M, transitions_format=format):
if rno >= 20:
break
if rno != prevrno:
print "%d rounds:" % rno
prevrno = rno
if math.log(prob, 2) < -64*sum(1-v for v in trail[-1]) + epsilon:
continue
diff = prob - generic
if diff:
diff = "2^%.3f" % math.log(diff, 2)
if prob:
prob = "2^%.3f" % math.log(prob, 2)
if generic:
generic = "2^%.3f" % math.log(generic, 2)
print " ",
print trail, ":",
print prob, "vs", generic, "diff", diff
| 52 | 120 | 0.434295 | 1,362 | 5,616 | 1.76652 | 0.065345 | 0.573566 | 0.679551 | 0.683292 | 0.709061 | 0.709061 | 0.709061 | 0.690357 | 0.674979 | 0.569825 | 0 | 0.279207 | 0.308048 | 5,616 | 107 | 121 | 52.485981 | 0.339938 | 0.029915 | 0 | 0.166667 | 0 | 0 | 0.021053 | 0 | 0 | 0 | 0 | 0 | 0.011905 | 0 | null | null | 0 | 0.02381 | null | null | 0.142857 | 0 | 0 | 1 | null | 1 | 1 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 |
e984c3657459ff0aa785a09db13872adc429b502 | 41,858 | py | Python | fhir/resources/tests/test_conceptmap.py | mmabey/fhir.resources | cc73718e9762c04726cd7de240c8f2dd5313cbe1 | [
"BSD-3-Clause"
] | null | null | null | fhir/resources/tests/test_conceptmap.py | mmabey/fhir.resources | cc73718e9762c04726cd7de240c8f2dd5313cbe1 | [
"BSD-3-Clause"
] | null | null | null | fhir/resources/tests/test_conceptmap.py | mmabey/fhir.resources | cc73718e9762c04726cd7de240c8f2dd5313cbe1 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Profile: http://hl7.org/fhir/StructureDefinition/ConceptMap
Release: R4
Version: 4.0.1
Build ID: 9346c8cc45
Last updated: 2019-11-01T09:29:23.356+11:00
"""
import io
import json
import os
import unittest
import pytest
from .. import conceptmap
from ..fhirdate import FHIRDate
from .fixtures import force_bytes
@pytest.mark.usefixtures("base_settings")
class ConceptMapTests(unittest.TestCase):
def instantiate_from(self, filename):
datadir = os.environ.get("FHIR_UNITTEST_DATADIR") or ""
with io.open(os.path.join(datadir, filename), "r", encoding="utf-8") as handle:
js = json.load(handle)
self.assertEqual("ConceptMap", js["resourceType"])
return conceptmap.ConceptMap(js)
def testConceptMap1(self):
inst = self.instantiate_from("sc-valueset-publication-status.json")
self.assertIsNotNone(inst, "Must have instantiated a ConceptMap instance")
self.implConceptMap1(inst)
js = inst.as_json()
self.assertEqual("ConceptMap", js["resourceType"])
inst2 = conceptmap.ConceptMap(js)
self.implConceptMap1(inst2)
def implConceptMap1(self, inst):
self.assertEqual(
force_bytes(inst.contact[0].telecom[0].system), force_bytes("url")
)
self.assertEqual(
force_bytes(inst.contact[0].telecom[0].value),
force_bytes("http://hl7.org/fhir"),
)
self.assertEqual(
force_bytes(inst.contact[0].telecom[1].system), force_bytes("email")
)
self.assertEqual(
force_bytes(inst.contact[0].telecom[1].value),
force_bytes("fhir@lists.hl7.org"),
)
self.assertEqual(inst.date.date, FHIRDate("2019-11-01T09:29:23+11:00").date)
self.assertEqual(inst.date.as_json(), "2019-11-01T09:29:23+11:00")
self.assertEqual(
force_bytes(inst.description),
force_bytes('Canonical Mapping for "The lifecycle status of an artifact."'),
)
self.assertEqual(
force_bytes(inst.group[0].element[0].code), force_bytes("entered-in-error")
)
self.assertEqual(
force_bytes(inst.group[0].element[0].target[0].code), force_bytes("error")
)
self.assertEqual(
force_bytes(inst.group[0].element[0].target[0].equivalence),
force_bytes("equivalent"),
)
self.assertEqual(
force_bytes(inst.group[0].element[1].code), force_bytes("draft")
)
self.assertEqual(
force_bytes(inst.group[0].element[1].target[0].code), force_bytes("draft")
)
self.assertEqual(
force_bytes(inst.group[0].element[1].target[0].equivalence),
force_bytes("equivalent"),
)
self.assertEqual(
force_bytes(inst.group[0].element[2].code), force_bytes("active")
)
self.assertEqual(
force_bytes(inst.group[0].element[2].target[0].code), force_bytes("active")
)
self.assertEqual(
force_bytes(inst.group[0].element[2].target[0].equivalence),
force_bytes("equivalent"),
)
self.assertEqual(
force_bytes(inst.group[0].element[3].code), force_bytes("retired")
)
self.assertEqual(
force_bytes(inst.group[0].element[3].target[0].code),
force_bytes("inactive"),
)
self.assertEqual(
force_bytes(inst.group[0].element[3].target[0].equivalence),
force_bytes("equivalent"),
)
self.assertEqual(
force_bytes(inst.group[0].element[4].code), force_bytes("unknown")
)
self.assertEqual(
force_bytes(inst.group[0].element[4].target[0].code), force_bytes("unknown")
)
self.assertEqual(
force_bytes(inst.group[0].element[4].target[0].equivalence),
force_bytes("equivalent"),
)
self.assertEqual(
force_bytes(inst.group[0].source),
force_bytes("http://hl7.org/fhir/publication-status"),
)
self.assertEqual(
force_bytes(inst.group[0].target),
force_bytes("http://hl7.org/fhir/resource-status"),
)
self.assertEqual(force_bytes(inst.id), force_bytes("sc-publication-status"))
self.assertEqual(
force_bytes(inst.name), force_bytes("PublicationStatusCanonicalMap")
)
self.assertEqual(force_bytes(inst.publisher), force_bytes("HL7 (FHIR Project)"))
self.assertEqual(
force_bytes(inst.sourceCanonical),
force_bytes("http://hl7.org/fhir/ValueSet/publication-status"),
)
self.assertEqual(force_bytes(inst.status), force_bytes("draft"))
self.assertEqual(
force_bytes(inst.targetCanonical),
force_bytes("http://hl7.org/fhir/ValueSet/resource-status"),
)
self.assertEqual(force_bytes(inst.text.status), force_bytes("generated"))
self.assertEqual(
force_bytes(inst.title),
force_bytes('Canonical Mapping for "PublicationStatus"'),
)
self.assertEqual(
force_bytes(inst.url),
force_bytes("http://hl7.org/fhir/ConceptMap/sc-publication-status"),
)
self.assertEqual(force_bytes(inst.version), force_bytes("4.0.1"))
def testConceptMap2(self):
inst = self.instantiate_from("cm-address-use-v3.json")
self.assertIsNotNone(inst, "Must have instantiated a ConceptMap instance")
self.implConceptMap2(inst)
js = inst.as_json()
self.assertEqual("ConceptMap", js["resourceType"])
inst2 = conceptmap.ConceptMap(js)
self.implConceptMap2(inst2)
def implConceptMap2(self, inst):
self.assertEqual(
force_bytes(inst.contact[0].telecom[0].system), force_bytes("url")
)
self.assertEqual(
force_bytes(inst.contact[0].telecom[0].value),
force_bytes("http://hl7.org/fhir"),
)
self.assertEqual(
force_bytes(inst.contact[0].telecom[1].system), force_bytes("email")
)
self.assertEqual(
force_bytes(inst.contact[0].telecom[1].value),
force_bytes("fhir@lists.hl7.org"),
)
self.assertEqual(inst.date.date, FHIRDate("2019-11-01T09:29:23+11:00").date)
self.assertEqual(inst.date.as_json(), "2019-11-01T09:29:23+11:00")
self.assertEqual(
force_bytes(inst.group[0].element[0].code), force_bytes("home")
)
self.assertEqual(
force_bytes(inst.group[0].element[0].target[0].code), force_bytes("H")
)
self.assertEqual(
force_bytes(inst.group[0].element[0].target[0].equivalence),
force_bytes("equal"),
)
self.assertEqual(
force_bytes(inst.group[0].element[1].code), force_bytes("work")
)
self.assertEqual(
force_bytes(inst.group[0].element[1].target[0].code), force_bytes("WP")
)
self.assertEqual(
force_bytes(inst.group[0].element[1].target[0].equivalence),
force_bytes("equal"),
)
self.assertEqual(
force_bytes(inst.group[0].element[2].code), force_bytes("temp")
)
self.assertEqual(
force_bytes(inst.group[0].element[2].target[0].code), force_bytes("TMP")
)
self.assertEqual(
force_bytes(inst.group[0].element[2].target[0].equivalence),
force_bytes("equal"),
)
self.assertEqual(force_bytes(inst.group[0].element[3].code), force_bytes("old"))
self.assertEqual(
force_bytes(inst.group[0].element[3].target[0].code), force_bytes("OLD")
)
self.assertEqual(
force_bytes(inst.group[0].element[3].target[0].comment),
force_bytes("Bad or Old"),
)
self.assertEqual(
force_bytes(inst.group[0].element[3].target[0].equivalence),
force_bytes("narrower"),
)
self.assertEqual(
force_bytes(inst.group[0].element[3].target[1].code), force_bytes("BAD")
)
self.assertEqual(
force_bytes(inst.group[0].element[3].target[1].comment),
force_bytes("Bad or Old"),
)
self.assertEqual(
force_bytes(inst.group[0].element[3].target[1].equivalence),
force_bytes("narrower"),
)
self.assertEqual(
force_bytes(inst.group[0].source),
force_bytes("http://hl7.org/fhir/address-use"),
)
self.assertEqual(
force_bytes(inst.group[0].target),
force_bytes("http://terminology.hl7.org/CodeSystem/v3-AddressUse"),
)
self.assertEqual(force_bytes(inst.id), force_bytes("cm-address-use-v3"))
self.assertEqual(force_bytes(inst.name), force_bytes("v3.AddressUse"))
self.assertEqual(force_bytes(inst.publisher), force_bytes("HL7 (FHIR Project)"))
self.assertEqual(
force_bytes(inst.sourceCanonical),
force_bytes("http://hl7.org/fhir/ValueSet/address-use"),
)
self.assertEqual(force_bytes(inst.status), force_bytes("draft"))
self.assertEqual(
force_bytes(inst.targetCanonical),
force_bytes("http://terminology.hl7.org/ValueSet/v3-AddressUse"),
)
self.assertEqual(force_bytes(inst.text.status), force_bytes("generated"))
self.assertEqual(force_bytes(inst.title), force_bytes("v3 map for AddressUse"))
self.assertEqual(
force_bytes(inst.url),
force_bytes("http://hl7.org/fhir/ConceptMap/cm-address-use-v3"),
)
self.assertEqual(force_bytes(inst.version), force_bytes("4.0.1"))
def testConceptMap3(self):
inst = self.instantiate_from("sc-valueset-fm-status.json")
self.assertIsNotNone(inst, "Must have instantiated a ConceptMap instance")
self.implConceptMap3(inst)
js = inst.as_json()
self.assertEqual("ConceptMap", js["resourceType"])
inst2 = conceptmap.ConceptMap(js)
self.implConceptMap3(inst2)
def implConceptMap3(self, inst):
self.assertEqual(
force_bytes(inst.contact[0].telecom[0].system), force_bytes("url")
)
self.assertEqual(
force_bytes(inst.contact[0].telecom[0].value),
force_bytes("http://hl7.org/fhir"),
)
self.assertEqual(inst.date.date, FHIRDate("2019-11-01T09:29:23+11:00").date)
self.assertEqual(inst.date.as_json(), "2019-11-01T09:29:23+11:00")
self.assertEqual(
force_bytes(inst.description),
force_bytes(
'Canonical Mapping for "This value set includes Status codes."'
),
)
self.assertEqual(
force_bytes(inst.group[0].element[0].code), force_bytes("entered-in-error")
)
self.assertEqual(
force_bytes(inst.group[0].element[0].target[0].code), force_bytes("error")
)
self.assertEqual(
force_bytes(inst.group[0].element[0].target[0].equivalence),
force_bytes("equivalent"),
)
self.assertEqual(
force_bytes(inst.group[0].element[1].code), force_bytes("draft")
)
self.assertEqual(
force_bytes(inst.group[0].element[1].target[0].code), force_bytes("draft")
)
self.assertEqual(
force_bytes(inst.group[0].element[1].target[0].equivalence),
force_bytes("equivalent"),
)
self.assertEqual(
force_bytes(inst.group[0].element[2].code), force_bytes("active")
)
self.assertEqual(
force_bytes(inst.group[0].element[2].target[0].code), force_bytes("active")
)
self.assertEqual(
force_bytes(inst.group[0].element[2].target[0].equivalence),
force_bytes("equivalent"),
)
self.assertEqual(
force_bytes(inst.group[0].element[3].code), force_bytes("cancelled")
)
self.assertEqual(
force_bytes(inst.group[0].element[3].target[0].code),
force_bytes("abandoned"),
)
self.assertEqual(
force_bytes(inst.group[0].element[3].target[0].equivalence),
force_bytes("equivalent"),
)
self.assertEqual(
force_bytes(inst.group[0].source),
force_bytes("http://hl7.org/fhir/fm-status"),
)
self.assertEqual(
force_bytes(inst.group[0].target),
force_bytes("http://hl7.org/fhir/resource-status"),
)
self.assertEqual(force_bytes(inst.id), force_bytes("sc-fm-status"))
self.assertEqual(
force_bytes(inst.name),
force_bytes("FinancialResourceStatusCodesCanonicalMap"),
)
self.assertEqual(
force_bytes(inst.publisher), force_bytes("Financial Management")
)
self.assertEqual(
force_bytes(inst.sourceCanonical),
force_bytes("http://hl7.org/fhir/ValueSet/fm-status"),
)
self.assertEqual(force_bytes(inst.status), force_bytes("draft"))
self.assertEqual(
force_bytes(inst.targetCanonical),
force_bytes("http://hl7.org/fhir/ValueSet/resource-status"),
)
self.assertEqual(force_bytes(inst.text.status), force_bytes("generated"))
self.assertEqual(
force_bytes(inst.title),
force_bytes('Canonical Mapping for "Financial Resource Status Codes"'),
)
self.assertEqual(
force_bytes(inst.url),
force_bytes("http://hl7.org/fhir/ConceptMap/sc-fm-status"),
)
self.assertEqual(force_bytes(inst.version), force_bytes("4.0.1"))
def testConceptMap4(self):
inst = self.instantiate_from("cm-composition-status-v3.json")
self.assertIsNotNone(inst, "Must have instantiated a ConceptMap instance")
self.implConceptMap4(inst)
js = inst.as_json()
self.assertEqual("ConceptMap", js["resourceType"])
inst2 = conceptmap.ConceptMap(js)
self.implConceptMap4(inst2)
def implConceptMap4(self, inst):
self.assertEqual(
force_bytes(inst.contact[0].telecom[0].system), force_bytes("url")
)
self.assertEqual(
force_bytes(inst.contact[0].telecom[0].value),
force_bytes("http://hl7.org/fhir"),
)
self.assertEqual(
force_bytes(inst.contact[0].telecom[1].system), force_bytes("email")
)
self.assertEqual(
force_bytes(inst.contact[0].telecom[1].value),
force_bytes("fhir@lists.hl7.org"),
)
self.assertEqual(inst.date.date, FHIRDate("2019-11-01T09:29:23+11:00").date)
self.assertEqual(inst.date.as_json(), "2019-11-01T09:29:23+11:00")
self.assertEqual(
force_bytes(inst.group[0].element[0].code), force_bytes("preliminary")
)
self.assertEqual(
force_bytes(inst.group[0].element[0].target[0].code), force_bytes("active")
)
self.assertEqual(
force_bytes(inst.group[0].element[0].target[0].equivalence),
force_bytes("equivalent"),
)
self.assertEqual(
force_bytes(inst.group[0].element[1].code), force_bytes("final")
)
self.assertEqual(
force_bytes(inst.group[0].element[1].target[0].code),
force_bytes("completed"),
)
self.assertEqual(
force_bytes(inst.group[0].element[1].target[0].equivalence),
force_bytes("wider"),
)
self.assertEqual(
force_bytes(inst.group[0].element[2].code), force_bytes("amended")
)
self.assertEqual(
force_bytes(inst.group[0].element[2].target[0].code),
force_bytes("completed"),
)
self.assertEqual(
force_bytes(inst.group[0].element[2].target[0].equivalence),
force_bytes("wider"),
)
self.assertEqual(
force_bytes(inst.group[0].element[3].code), force_bytes("entered-in-error")
)
self.assertEqual(
force_bytes(inst.group[0].element[3].target[0].code),
force_bytes("nullified"),
)
self.assertEqual(
force_bytes(inst.group[0].element[3].target[0].equivalence),
force_bytes("equivalent"),
)
self.assertEqual(
force_bytes(inst.group[0].source),
force_bytes("http://hl7.org/fhir/composition-status"),
)
self.assertEqual(
force_bytes(inst.group[0].target),
force_bytes("http://terminology.hl7.org/CodeSystem/v3-ActStatus"),
)
self.assertEqual(force_bytes(inst.id), force_bytes("cm-composition-status-v3"))
self.assertEqual(force_bytes(inst.name), force_bytes("v3.CompositionStatus"))
self.assertEqual(force_bytes(inst.publisher), force_bytes("HL7 (FHIR Project)"))
self.assertEqual(
force_bytes(inst.sourceCanonical),
force_bytes("http://hl7.org/fhir/ValueSet/composition-status"),
)
self.assertEqual(force_bytes(inst.status), force_bytes("draft"))
self.assertEqual(
force_bytes(inst.targetCanonical),
force_bytes("http://terminology.hl7.org/ValueSet/v3-ActStatus"),
)
self.assertEqual(force_bytes(inst.text.status), force_bytes("generated"))
self.assertEqual(
force_bytes(inst.title), force_bytes("v3 map for CompositionStatus")
)
self.assertEqual(
force_bytes(inst.url),
force_bytes("http://hl7.org/fhir/ConceptMap/cm-composition-status-v3"),
)
self.assertEqual(force_bytes(inst.version), force_bytes("4.0.1"))
def testConceptMap5(self):
inst = self.instantiate_from("sc-valueset-flag-status.json")
self.assertIsNotNone(inst, "Must have instantiated a ConceptMap instance")
self.implConceptMap5(inst)
js = inst.as_json()
self.assertEqual("ConceptMap", js["resourceType"])
inst2 = conceptmap.ConceptMap(js)
self.implConceptMap5(inst2)
def implConceptMap5(self, inst):
self.assertEqual(
force_bytes(inst.contact[0].telecom[0].system), force_bytes("url")
)
self.assertEqual(
force_bytes(inst.contact[0].telecom[0].value),
force_bytes("http://hl7.org/fhir"),
)
self.assertEqual(
force_bytes(inst.contact[0].telecom[1].system), force_bytes("email")
)
self.assertEqual(
force_bytes(inst.contact[0].telecom[1].value),
force_bytes("fhir@lists.hl7.org"),
)
self.assertEqual(inst.date.date, FHIRDate("2019-11-01T09:29:23+11:00").date)
self.assertEqual(inst.date.as_json(), "2019-11-01T09:29:23+11:00")
self.assertEqual(
force_bytes(inst.description),
force_bytes(
'Canonical Mapping for "Indicates whether this flag is active and needs to be displayed to a user, or whether it is no longer needed or was entered in error."'
),
)
self.assertEqual(
force_bytes(inst.group[0].element[0].code), force_bytes("entered-in-error")
)
self.assertEqual(
force_bytes(inst.group[0].element[0].target[0].code), force_bytes("error")
)
self.assertEqual(
force_bytes(inst.group[0].element[0].target[0].equivalence),
force_bytes("equivalent"),
)
self.assertEqual(
force_bytes(inst.group[0].element[1].code), force_bytes("active")
)
self.assertEqual(
force_bytes(inst.group[0].element[1].target[0].code), force_bytes("active")
)
self.assertEqual(
force_bytes(inst.group[0].element[1].target[0].equivalence),
force_bytes("equivalent"),
)
self.assertEqual(
force_bytes(inst.group[0].element[2].code), force_bytes("inactive")
)
self.assertEqual(
force_bytes(inst.group[0].element[2].target[0].code),
force_bytes("inactive"),
)
self.assertEqual(
force_bytes(inst.group[0].element[2].target[0].equivalence),
force_bytes("equivalent"),
)
self.assertEqual(
force_bytes(inst.group[0].source),
force_bytes("http://hl7.org/fhir/flag-status"),
)
self.assertEqual(
force_bytes(inst.group[0].target),
force_bytes("http://hl7.org/fhir/resource-status"),
)
self.assertEqual(force_bytes(inst.id), force_bytes("sc-flag-status"))
self.assertEqual(force_bytes(inst.name), force_bytes("FlagStatusCanonicalMap"))
self.assertEqual(force_bytes(inst.publisher), force_bytes("HL7 (FHIR Project)"))
self.assertEqual(
force_bytes(inst.sourceCanonical),
force_bytes("http://hl7.org/fhir/ValueSet/flag-status"),
)
self.assertEqual(force_bytes(inst.status), force_bytes("draft"))
self.assertEqual(
force_bytes(inst.targetCanonical),
force_bytes("http://hl7.org/fhir/ValueSet/resource-status"),
)
self.assertEqual(force_bytes(inst.text.status), force_bytes("generated"))
self.assertEqual(
force_bytes(inst.title), force_bytes('Canonical Mapping for "FlagStatus"')
)
self.assertEqual(
force_bytes(inst.url),
force_bytes("http://hl7.org/fhir/ConceptMap/sc-flag-status"),
)
self.assertEqual(force_bytes(inst.version), force_bytes("4.0.1"))
def testConceptMap6(self):
inst = self.instantiate_from("sc-valueset-device-status.json")
self.assertIsNotNone(inst, "Must have instantiated a ConceptMap instance")
self.implConceptMap6(inst)
js = inst.as_json()
self.assertEqual("ConceptMap", js["resourceType"])
inst2 = conceptmap.ConceptMap(js)
self.implConceptMap6(inst2)
def implConceptMap6(self, inst):
self.assertEqual(
force_bytes(inst.contact[0].telecom[0].system), force_bytes("url")
)
self.assertEqual(
force_bytes(inst.contact[0].telecom[0].value),
force_bytes("http://hl7.org/fhir"),
)
self.assertEqual(
force_bytes(inst.contact[0].telecom[1].system), force_bytes("email")
)
self.assertEqual(
force_bytes(inst.contact[0].telecom[1].value),
force_bytes("fhir@lists.hl7.org"),
)
self.assertEqual(inst.date.date, FHIRDate("2019-11-01T09:29:23+11:00").date)
self.assertEqual(inst.date.as_json(), "2019-11-01T09:29:23+11:00")
self.assertEqual(
force_bytes(inst.description),
force_bytes(
'Canonical Mapping for "The availability status of the device."'
),
)
self.assertEqual(
force_bytes(inst.group[0].element[0].code), force_bytes("entered-in-error")
)
self.assertEqual(
force_bytes(inst.group[0].element[0].target[0].code), force_bytes("error")
)
self.assertEqual(
force_bytes(inst.group[0].element[0].target[0].equivalence),
force_bytes("equivalent"),
)
self.assertEqual(
force_bytes(inst.group[0].element[1].code), force_bytes("active")
)
self.assertEqual(
force_bytes(inst.group[0].element[1].target[0].code), force_bytes("active")
)
self.assertEqual(
force_bytes(inst.group[0].element[1].target[0].equivalence),
force_bytes("equivalent"),
)
self.assertEqual(
force_bytes(inst.group[0].element[2].code), force_bytes("inactive")
)
self.assertEqual(
force_bytes(inst.group[0].element[2].target[0].code),
force_bytes("inactive"),
)
self.assertEqual(
force_bytes(inst.group[0].element[2].target[0].equivalence),
force_bytes("equivalent"),
)
self.assertEqual(
force_bytes(inst.group[0].element[3].code), force_bytes("unknown")
)
self.assertEqual(
force_bytes(inst.group[0].element[3].target[0].code), force_bytes("unknown")
)
self.assertEqual(
force_bytes(inst.group[0].element[3].target[0].equivalence),
force_bytes("equivalent"),
)
self.assertEqual(
force_bytes(inst.group[0].source),
force_bytes("http://hl7.org/fhir/device-status"),
)
self.assertEqual(
force_bytes(inst.group[0].target),
force_bytes("http://hl7.org/fhir/resource-status"),
)
self.assertEqual(force_bytes(inst.id), force_bytes("sc-device-status"))
self.assertEqual(
force_bytes(inst.name), force_bytes("FHIRDeviceStatusCanonicalMap")
)
self.assertEqual(force_bytes(inst.publisher), force_bytes("HL7 (FHIR Project)"))
self.assertEqual(
force_bytes(inst.sourceCanonical),
force_bytes("http://hl7.org/fhir/ValueSet/device-status"),
)
self.assertEqual(force_bytes(inst.status), force_bytes("draft"))
self.assertEqual(
force_bytes(inst.targetCanonical),
force_bytes("http://hl7.org/fhir/ValueSet/resource-status"),
)
self.assertEqual(force_bytes(inst.text.status), force_bytes("generated"))
self.assertEqual(
force_bytes(inst.title),
force_bytes('Canonical Mapping for "FHIRDeviceStatus"'),
)
self.assertEqual(
force_bytes(inst.url),
force_bytes("http://hl7.org/fhir/ConceptMap/sc-device-status"),
)
self.assertEqual(force_bytes(inst.version), force_bytes("4.0.1"))
def testConceptMap7(self):
inst = self.instantiate_from("cm-contact-point-use-v2.json")
self.assertIsNotNone(inst, "Must have instantiated a ConceptMap instance")
self.implConceptMap7(inst)
js = inst.as_json()
self.assertEqual("ConceptMap", js["resourceType"])
inst2 = conceptmap.ConceptMap(js)
self.implConceptMap7(inst2)
def implConceptMap7(self, inst):
self.assertEqual(
force_bytes(inst.contact[0].telecom[0].system), force_bytes("url")
)
self.assertEqual(
force_bytes(inst.contact[0].telecom[0].value),
force_bytes("http://hl7.org/fhir"),
)
self.assertEqual(
force_bytes(inst.contact[0].telecom[1].system), force_bytes("email")
)
self.assertEqual(
force_bytes(inst.contact[0].telecom[1].value),
force_bytes("fhir@lists.hl7.org"),
)
self.assertEqual(inst.date.date, FHIRDate("2019-11-01T09:29:23+11:00").date)
self.assertEqual(inst.date.as_json(), "2019-11-01T09:29:23+11:00")
self.assertEqual(
force_bytes(inst.group[0].element[0].code), force_bytes("home")
)
self.assertEqual(
force_bytes(inst.group[0].element[0].target[0].code), force_bytes("PRN")
)
self.assertEqual(
force_bytes(inst.group[0].element[0].target[0].equivalence),
force_bytes("wider"),
)
self.assertEqual(
force_bytes(inst.group[0].element[0].target[1].code), force_bytes("ORN")
)
self.assertEqual(
force_bytes(inst.group[0].element[0].target[1].equivalence),
force_bytes("wider"),
)
self.assertEqual(
force_bytes(inst.group[0].element[0].target[2].code), force_bytes("VHN")
)
self.assertEqual(
force_bytes(inst.group[0].element[0].target[2].equivalence),
force_bytes("wider"),
)
self.assertEqual(
force_bytes(inst.group[0].element[1].code), force_bytes("work")
)
self.assertEqual(
force_bytes(inst.group[0].element[1].target[0].code), force_bytes("WPN")
)
self.assertEqual(
force_bytes(inst.group[0].element[1].target[0].equivalence),
force_bytes("equivalent"),
)
self.assertEqual(
force_bytes(inst.group[0].element[2].code), force_bytes("mobile")
)
self.assertEqual(
force_bytes(inst.group[0].element[2].target[0].code), force_bytes("PRS")
)
self.assertEqual(
force_bytes(inst.group[0].element[2].target[0].equivalence),
force_bytes("equivalent"),
)
self.assertEqual(
force_bytes(inst.group[0].source),
force_bytes("http://hl7.org/fhir/contact-point-use"),
)
self.assertEqual(
force_bytes(inst.group[0].target),
force_bytes("http://terminology.hl7.org/CodeSystem/v2-0201"),
)
self.assertEqual(force_bytes(inst.id), force_bytes("cm-contact-point-use-v2"))
self.assertEqual(force_bytes(inst.name), force_bytes("v2.ContactPointUse"))
self.assertEqual(force_bytes(inst.publisher), force_bytes("HL7 (FHIR Project)"))
self.assertEqual(
force_bytes(inst.sourceCanonical),
force_bytes("http://hl7.org/fhir/ValueSet/contact-point-use"),
)
self.assertEqual(force_bytes(inst.status), force_bytes("draft"))
self.assertEqual(
force_bytes(inst.targetCanonical),
force_bytes("http://terminology.hl7.org/ValueSet/v2-0201"),
)
self.assertEqual(force_bytes(inst.text.status), force_bytes("generated"))
self.assertEqual(
force_bytes(inst.title), force_bytes("v2 map for ContactPointUse")
)
self.assertEqual(
force_bytes(inst.url),
force_bytes("http://hl7.org/fhir/ConceptMap/cm-contact-point-use-v2"),
)
self.assertEqual(force_bytes(inst.version), force_bytes("4.0.1"))
def testConceptMap8(self):
inst = self.instantiate_from("sc-valueset-allergyintolerance-clinical.json")
self.assertIsNotNone(inst, "Must have instantiated a ConceptMap instance")
self.implConceptMap8(inst)
js = inst.as_json()
self.assertEqual("ConceptMap", js["resourceType"])
inst2 = conceptmap.ConceptMap(js)
self.implConceptMap8(inst2)
def implConceptMap8(self, inst):
self.assertEqual(
force_bytes(inst.contact[0].telecom[0].system), force_bytes("url")
)
self.assertEqual(
force_bytes(inst.contact[0].telecom[0].value),
force_bytes("http://hl7.org/fhir"),
)
self.assertEqual(inst.date.date, FHIRDate("2019-11-01T09:29:23+11:00").date)
self.assertEqual(inst.date.as_json(), "2019-11-01T09:29:23+11:00")
self.assertEqual(
force_bytes(inst.description),
force_bytes(
'Canonical Mapping for "Preferred value set for AllergyIntolerance Clinical Status."'
),
)
self.assertEqual(
force_bytes(inst.group[0].element[0].code), force_bytes("active")
)
self.assertEqual(
force_bytes(inst.group[0].element[0].target[0].code), force_bytes("active")
)
self.assertEqual(
force_bytes(inst.group[0].element[0].target[0].equivalence),
force_bytes("equivalent"),
)
self.assertEqual(
force_bytes(inst.group[0].element[1].code), force_bytes("inactive")
)
self.assertEqual(
force_bytes(inst.group[0].element[1].target[0].code),
force_bytes("inactive"),
)
self.assertEqual(
force_bytes(inst.group[0].element[1].target[0].equivalence),
force_bytes("equivalent"),
)
self.assertEqual(
force_bytes(inst.group[0].element[2].code), force_bytes("resolved")
)
self.assertEqual(
force_bytes(inst.group[0].element[2].target[0].code),
force_bytes("resolved"),
)
self.assertEqual(
force_bytes(inst.group[0].element[2].target[0].equivalence),
force_bytes("equivalent"),
)
self.assertEqual(
force_bytes(inst.group[0].source),
force_bytes(
"http://terminology.hl7.org/CodeSystem/allergyintolerance-clinical"
),
)
self.assertEqual(
force_bytes(inst.group[0].target),
force_bytes("http://hl7.org/fhir/resource-status"),
)
self.assertEqual(
force_bytes(inst.id), force_bytes("sc-allergyintolerance-clinical")
)
self.assertEqual(
force_bytes(inst.name),
force_bytes("AllergyIntoleranceClinicalStatusCodesCanonicalMap"),
)
self.assertEqual(force_bytes(inst.publisher), force_bytes("FHIR Project team"))
self.assertEqual(
force_bytes(inst.sourceCanonical),
force_bytes("http://hl7.org/fhir/ValueSet/allergyintolerance-clinical"),
)
self.assertEqual(force_bytes(inst.status), force_bytes("draft"))
self.assertEqual(
force_bytes(inst.targetCanonical),
force_bytes("http://hl7.org/fhir/ValueSet/resource-status"),
)
self.assertEqual(force_bytes(inst.text.status), force_bytes("generated"))
self.assertEqual(
force_bytes(inst.title),
force_bytes(
'Canonical Mapping for "AllergyIntolerance Clinical Status Codes"'
),
)
self.assertEqual(
force_bytes(inst.url),
force_bytes(
"http://hl7.org/fhir/ConceptMap/sc-allergyintolerance-clinical"
),
)
self.assertEqual(force_bytes(inst.version), force_bytes("4.0.1"))
def testConceptMap9(self):
inst = self.instantiate_from("sc-valueset-medication-status.json")
self.assertIsNotNone(inst, "Must have instantiated a ConceptMap instance")
self.implConceptMap9(inst)
js = inst.as_json()
self.assertEqual("ConceptMap", js["resourceType"])
inst2 = conceptmap.ConceptMap(js)
self.implConceptMap9(inst2)
def implConceptMap9(self, inst):
self.assertEqual(
force_bytes(inst.contact[0].telecom[0].system), force_bytes("url")
)
self.assertEqual(
force_bytes(inst.contact[0].telecom[0].value),
force_bytes("http://hl7.org/fhir"),
)
self.assertEqual(inst.date.date, FHIRDate("2019-11-01T09:29:23+11:00").date)
self.assertEqual(inst.date.as_json(), "2019-11-01T09:29:23+11:00")
self.assertEqual(
force_bytes(inst.description),
force_bytes('Canonical Mapping for "Medication Status Codes"'),
)
self.assertEqual(
force_bytes(inst.group[0].element[0].code), force_bytes("entered-in-error")
)
self.assertEqual(
force_bytes(inst.group[0].element[0].target[0].code), force_bytes("error")
)
self.assertEqual(
force_bytes(inst.group[0].element[0].target[0].equivalence),
force_bytes("equivalent"),
)
self.assertEqual(
force_bytes(inst.group[0].element[1].code), force_bytes("active")
)
self.assertEqual(
force_bytes(inst.group[0].element[1].target[0].code), force_bytes("active")
)
self.assertEqual(
force_bytes(inst.group[0].element[1].target[0].equivalence),
force_bytes("equivalent"),
)
self.assertEqual(
force_bytes(inst.group[0].element[2].code), force_bytes("inactive")
)
self.assertEqual(
force_bytes(inst.group[0].element[2].target[0].code),
force_bytes("inactive"),
)
self.assertEqual(
force_bytes(inst.group[0].element[2].target[0].equivalence),
force_bytes("equivalent"),
)
self.assertEqual(
force_bytes(inst.group[0].source),
force_bytes("http://hl7.org/fhir/CodeSystem/medication-status"),
)
self.assertEqual(
force_bytes(inst.group[0].target),
force_bytes("http://hl7.org/fhir/resource-status"),
)
self.assertEqual(force_bytes(inst.id), force_bytes("sc-medication-status"))
self.assertEqual(
force_bytes(inst.name), force_bytes("Medication Status CodesCanonicalMap")
)
self.assertEqual(force_bytes(inst.publisher), force_bytes("FHIR Project team"))
self.assertEqual(
force_bytes(inst.sourceCanonical),
force_bytes("http://hl7.org/fhir/ValueSet/medication-status"),
)
self.assertEqual(force_bytes(inst.status), force_bytes("draft"))
self.assertEqual(
force_bytes(inst.targetCanonical),
force_bytes("http://hl7.org/fhir/ValueSet/resource-status"),
)
self.assertEqual(force_bytes(inst.text.status), force_bytes("generated"))
self.assertEqual(
force_bytes(inst.title),
force_bytes('Canonical Mapping for "Medication status codes"'),
)
self.assertEqual(
force_bytes(inst.url),
force_bytes("http://hl7.org/fhir/ConceptMap/sc-medication-status"),
)
self.assertEqual(force_bytes(inst.version), force_bytes("4.0.1"))
def testConceptMap10(self):
inst = self.instantiate_from("sc-valueset-location-status.json")
self.assertIsNotNone(inst, "Must have instantiated a ConceptMap instance")
self.implConceptMap10(inst)
js = inst.as_json()
self.assertEqual("ConceptMap", js["resourceType"])
inst2 = conceptmap.ConceptMap(js)
self.implConceptMap10(inst2)
def implConceptMap10(self, inst):
self.assertEqual(
force_bytes(inst.contact[0].telecom[0].system), force_bytes("url")
)
self.assertEqual(
force_bytes(inst.contact[0].telecom[0].value),
force_bytes("http://hl7.org/fhir"),
)
self.assertEqual(
force_bytes(inst.contact[0].telecom[1].system), force_bytes("email")
)
self.assertEqual(
force_bytes(inst.contact[0].telecom[1].value),
force_bytes("fhir@lists.hl7.org"),
)
self.assertEqual(inst.date.date, FHIRDate("2019-11-01T09:29:23+11:00").date)
self.assertEqual(inst.date.as_json(), "2019-11-01T09:29:23+11:00")
self.assertEqual(
force_bytes(inst.description),
force_bytes(
'Canonical Mapping for "Indicates whether the location is still in use."'
),
)
self.assertEqual(
force_bytes(inst.group[0].element[0].code), force_bytes("active")
)
self.assertEqual(
force_bytes(inst.group[0].element[0].target[0].code), force_bytes("active")
)
self.assertEqual(
force_bytes(inst.group[0].element[0].target[0].equivalence),
force_bytes("equivalent"),
)
self.assertEqual(
force_bytes(inst.group[0].element[1].code), force_bytes("suspended")
)
self.assertEqual(
force_bytes(inst.group[0].element[1].target[0].code),
force_bytes("suspended"),
)
self.assertEqual(
force_bytes(inst.group[0].element[1].target[0].equivalence),
force_bytes("equivalent"),
)
self.assertEqual(
force_bytes(inst.group[0].element[2].code), force_bytes("inactive")
)
self.assertEqual(
force_bytes(inst.group[0].element[2].target[0].code),
force_bytes("inactive"),
)
self.assertEqual(
force_bytes(inst.group[0].element[2].target[0].equivalence),
force_bytes("equivalent"),
)
self.assertEqual(
force_bytes(inst.group[0].source),
force_bytes("http://hl7.org/fhir/location-status"),
)
self.assertEqual(
force_bytes(inst.group[0].target),
force_bytes("http://hl7.org/fhir/resource-status"),
)
self.assertEqual(force_bytes(inst.id), force_bytes("sc-location-status"))
self.assertEqual(
force_bytes(inst.name), force_bytes("LocationStatusCanonicalMap")
)
self.assertEqual(force_bytes(inst.publisher), force_bytes("HL7 (FHIR Project)"))
self.assertEqual(
force_bytes(inst.sourceCanonical),
force_bytes("http://hl7.org/fhir/ValueSet/location-status"),
)
self.assertEqual(force_bytes(inst.status), force_bytes("draft"))
self.assertEqual(
force_bytes(inst.targetCanonical),
force_bytes("http://hl7.org/fhir/ValueSet/resource-status"),
)
self.assertEqual(force_bytes(inst.text.status), force_bytes("generated"))
self.assertEqual(
force_bytes(inst.title),
force_bytes('Canonical Mapping for "LocationStatus"'),
)
self.assertEqual(
force_bytes(inst.url),
force_bytes("http://hl7.org/fhir/ConceptMap/sc-location-status"),
)
self.assertEqual(force_bytes(inst.version), force_bytes("4.0.1"))
| 40.09387 | 175 | 0.598834 | 4,664 | 41,858 | 5.24807 | 0.048456 | 0.226743 | 0.226335 | 0.282919 | 0.920374 | 0.91633 | 0.909752 | 0.888671 | 0.877559 | 0.858112 | 0 | 0.032064 | 0.260882 | 41,858 | 1,043 | 176 | 40.132311 | 0.759099 | 0.004157 | 0 | 0.602 | 0 | 0.001 | 0.161868 | 0.026898 | 0 | 0 | 0 | 0 | 0.318 | 1 | 0.021 | false | 0 | 0.008 | 0 | 0.031 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 |
756ab74ae8b6e4429bf548910eea9bcae96755e3 | 179 | py | Python | adversarial_attack/yolov3/strelka_test.py | Akila-Ayanthi/adversarial | f0f37dda406b56f7da03b27a4809a703b64011b0 | [
"MIT"
] | 8 | 2020-08-18T14:57:28.000Z | 2021-10-04T06:20:09.000Z | adversarial_attack/yolov3/strelka_test.py | Akila-Ayanthi/adversarial | f0f37dda406b56f7da03b27a4809a703b64011b0 | [
"MIT"
] | 2 | 2021-10-04T06:24:14.000Z | 2021-11-28T11:32:56.000Z | adversarial_attack/yolov3/strelka_test.py | Akila-Ayanthi/adversarial | f0f37dda406b56f7da03b27a4809a703b64011b0 | [
"MIT"
] | 6 | 2020-10-20T12:43:22.000Z | 2022-01-21T09:30:05.000Z | def main():
print("______________________________________")
print("Congrats -- you are running on Strelka")
print("_______________________________________")
main() | 19.888889 | 52 | 0.743017 | 12 | 179 | 4.666667 | 0.75 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.150838 | 179 | 9 | 53 | 19.888889 | 0.368421 | 0 | 0 | 0 | 0 | 0 | 0.638889 | 0.427778 | 0 | 0 | 0 | 0 | 0 | 1 | 0.2 | true | 0 | 0 | 0 | 0.2 | 0.6 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 7 |
758de2a3f5afd2a103823087b3b6d0e59a09874e | 84 | py | Python | clusterify/__init__.py | jmineraud/clusterify | 55de893e8864f835b6e64b9cfd606b08151f1b59 | [
"Apache-2.0"
] | null | null | null | clusterify/__init__.py | jmineraud/clusterify | 55de893e8864f835b6e64b9cfd606b08151f1b59 | [
"Apache-2.0"
] | 1 | 2016-04-09T07:27:12.000Z | 2016-04-09T07:27:12.000Z | clusterify/__init__.py | jmineraud/clusterify | 55de893e8864f835b6e64b9cfd606b08151f1b59 | [
"Apache-2.0"
] | null | null | null | from clusterify.cluster import clusterify
from clusterify.cluster import sort_array
| 28 | 41 | 0.880952 | 11 | 84 | 6.636364 | 0.545455 | 0.383562 | 0.575342 | 0.739726 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.095238 | 84 | 2 | 42 | 42 | 0.960526 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 7 |
75bc9e8fa498f253714d32819f52ecba5848ae3b | 30,026 | py | Python | services/messenger/tests/send_message_test.py | Counter0021/Anti-Freelancer-microservices-back-end | e55481e0a4353107036cd5ba664fee57e29c7597 | [
"MIT"
] | null | null | null | services/messenger/tests/send_message_test.py | Counter0021/Anti-Freelancer-microservices-back-end | e55481e0a4353107036cd5ba664fee57e29c7597 | [
"MIT"
] | null | null | null | services/messenger/tests/send_message_test.py | Counter0021/Anti-Freelancer-microservices-back-end | e55481e0a4353107036cd5ba664fee57e29c7597 | [
"MIT"
] | null | null | null | from unittest import mock, TestCase
from app.crud import message_crud, dialogue_crud, notification_crud
from app.message.schemas import GetMessage, CreateMessage
from app.schemas import UserData
from config import ERROR, SUCCESS, SEND
from tests import BaseTest, async_loop
class SendMessageTestCase(BaseTest, TestCase):
def test_only_1_sender_connection_first_message(self):
self.assertEqual(len(async_loop(message_crud.all(self.session))), 0)
self.assertEqual(len(async_loop(notification_crud.all(self.session))), 0)
self.assertEqual(len(async_loop(dialogue_crud.all(self.session))), 0)
with mock.patch('app.requests.sender_profile_request', return_value=self.get_new_user(1)) as _:
with mock.patch('app.requests.get_user_request', return_value=self.get_new_user(2)) as _:
with mock.patch('app.requests.get_sender_data_request', return_value=self.get_new_user(1)) as _:
with self.client.websocket_connect(f'{self.url}/messages/ws/token') as socket:
socket.send_json({'msg': 'Hello world!', 'recipient_id': 2, 'type': SEND})
response = socket.receive_json()
self.assertEqual(
response,
{'data': {'msg': 'Message has been send'}, 'type': SUCCESS}
)
response = socket.receive_json()
self.assertEqual(
response,
{
'data': {
'sender': UserData(**self.get_new_user(1)).dict(), **GetMessage(
**{
**async_loop(message_crud.get(self.session, id=1)).__dict__,
'viewed': False,
'msg': 'Hello world!'
},
).dict()
}, 'type': SEND
}
)
self.assertEqual(len(async_loop(message_crud.all(self.session))), 1)
self.assertEqual(len(async_loop(dialogue_crud.all(self.session))), 1)
self.assertEqual(async_loop(message_crud.get(self.session, id=1)).viewed, False)
self.assertEqual(async_loop(dialogue_crud.get(self.session, id=1)).users_ids, '1_2')
socket.close()
self.assertEqual(async_loop(message_crud.get(self.session, id=1)).dialogue_id, 1)
self.assertEqual(len(async_loop(notification_crud.all(self.session))), 1)
self.assertEqual(async_loop(notification_crud.get(self.session, id=1)).recipient_id, 2)
self.assertEqual(async_loop(notification_crud.get(self.session, id=1)).sender_id, 1)
def test_only_2_sender_connections(self):
self.assertEqual(len(async_loop(message_crud.all(self.session))), 0)
self.assertEqual(len(async_loop(dialogue_crud.all(self.session))), 0)
self.assertEqual(len(async_loop(notification_crud.all(self.session))), 0)
with mock.patch('app.requests.sender_profile_request', return_value=self.get_new_user(1)) as _:
with mock.patch('app.requests.get_user_request', return_value=self.get_new_user(2)) as _:
with mock.patch('app.requests.get_sender_data_request', return_value=self.get_new_user(1)) as _:
with self.client.websocket_connect(f'{self.url}/messages/ws/token') as socket_1:
with self.client.websocket_connect(f'{self.url}/messages/ws/token') as socket_2:
socket_1.send_json(
{'msg': 'Hello world!', 'recipient_id': 2, 'type': SEND}
)
response = socket_1.receive_json()
self.assertEqual(
response,
{'data': {'msg': 'Message has been send'}, 'type': SUCCESS}
)
response = socket_1.receive_json()
self.assertEqual(
response,
{
'data': {
'sender': UserData(**self.get_new_user(1)).dict(), **GetMessage(
**{
**async_loop(message_crud.get(self.session, id=1)).__dict__,
'viewed': False,
'msg': 'Hello world!'
},
).dict()
}, 'type': SEND
}
)
response = socket_2.receive_json()
self.assertEqual(
response,
{'data': {'msg': 'Message has been send'}, 'type': SUCCESS}
)
response = socket_2.receive_json()
self.assertEqual(
response,
{
'data': {
'sender': UserData(**self.get_new_user(1)).dict(), **GetMessage(
**{
**async_loop(message_crud.get(self.session, id=1)).__dict__,
'viewed': False,
'msg': 'Hello world!'
},
).dict()
}, 'type': SEND
}
)
self.assertEqual(len(async_loop(message_crud.all(self.session))), 1)
self.assertEqual(len(async_loop(dialogue_crud.all(self.session))), 1)
self.assertEqual(async_loop(message_crud.get(self.session, id=1)).viewed, False)
self.assertEqual(async_loop(dialogue_crud.get(self.session, id=1)).users_ids, '1_2')
socket_1.close()
socket_2.close()
self.assertEqual(async_loop(message_crud.get(self.session, id=1)).dialogue_id, 1)
self.assertEqual(len(async_loop(notification_crud.all(self.session))), 1)
def test_sender_and_recipient_connections(self):
self.assertEqual(len(async_loop(message_crud.all(self.session))), 0)
self.assertEqual(len(async_loop(dialogue_crud.all(self.session))), 0)
self.assertEqual(len(async_loop(notification_crud.all(self.session))), 0)
with mock.patch('app.requests.sender_profile_request', return_value=self.get_new_user(1)) as _:
with mock.patch('app.requests.get_user_request', return_value=self.get_new_user(2)) as _:
with mock.patch('app.requests.get_sender_data_request', return_value=self.get_new_user(1)) as _:
with self.client.websocket_connect(f'{self.url}/messages/ws/token') as socket_sender:
with mock.patch('app.requests.sender_profile_request', return_value=self.get_new_user(2)) as _:
with self.client.websocket_connect(f'{self.url}/messages/ws/token') as socket_recipient:
socket_sender.send_json(
{'msg': 'Hello world!', 'recipient_id': 2, 'type': SEND}
)
response = socket_sender.receive_json()
self.assertEqual(
response,
{'data': {'msg': 'Message has been send'}, 'type': SUCCESS}
)
response = socket_sender.receive_json()
self.assertEqual(
response,
{
'data': {
'sender': UserData(**self.get_new_user(1)).dict(), **GetMessage(
**{
**async_loop(message_crud.get(self.session, id=1)).__dict__,
'viewed': False,
'msg': 'Hello world!'
},
).dict()
}, 'type': SEND
}
)
response = socket_recipient.receive_json()
self.assertEqual(
response,
{
'data': {
'sender': UserData(**self.get_new_user(1)).dict(), **GetMessage(
**{
**async_loop(message_crud.get(self.session, id=1)).__dict__,
'viewed': False,
'msg': 'Hello world!'
},
).dict()
}, 'type': SEND
}
)
self.assertEqual(len(async_loop(message_crud.all(self.session))), 1)
self.assertEqual(len(async_loop(dialogue_crud.all(self.session))), 1)
self.assertEqual(len(async_loop(notification_crud.all(self.session))), 1)
self.assertEqual(async_loop(message_crud.get(self.session, id=1)).viewed, False)
self.assertEqual(async_loop(dialogue_crud.get(self.session, id=1)).users_ids, '1_2')
socket_sender.close()
socket_recipient.close()
self.assertEqual(async_loop(message_crud.get(self.session, id=1)).dialogue_id, 1)
def test_2_sender_and_2_recipient_connections(self):
self.assertEqual(len(async_loop(message_crud.all(self.session))), 0)
self.assertEqual(len(async_loop(dialogue_crud.all(self.session))), 0)
self.assertEqual(len(async_loop(notification_crud.all(self.session))), 0)
with mock.patch('app.requests.sender_profile_request', return_value=self.get_new_user(1)) as _:
with mock.patch('app.requests.get_user_request', return_value=self.get_new_user(2)) as _:
with mock.patch('app.requests.get_sender_data_request', return_value=self.get_new_user(1)) as _:
with self.client.websocket_connect(f'{self.url}/messages/ws/token') as socket_sender_1:
with self.client.websocket_connect(f'{self.url}/messages/ws/token') as socket_sender_2:
with mock.patch(
'app.requests.sender_profile_request',
return_value=self.get_new_user(2)
) as _:
with self.client.websocket_connect(f'{self.url}/messages/ws/token') as socket_recipient_1:
with self.client.websocket_connect(f'{self.url}/messages/ws/token') as socket_recipient_2:
socket_sender_1.send_json(
{'msg': 'Hello world!', 'recipient_id': 2, 'type': SEND}
)
response = socket_sender_1.receive_json()
self.assertEqual(
response,
{'data': {'msg': 'Message has been send'}, 'type': SUCCESS}
)
response = socket_sender_1.receive_json()
self.assertEqual(
response,
{
'data': {
'sender': UserData(**self.get_new_user(1)).dict(), **GetMessage(
**{
**async_loop(message_crud.get(self.session, id=1)).__dict__,
'viewed': False,
'msg': 'Hello world!'
},
).dict()
}, 'type': SEND
}
)
response = socket_recipient_1.receive_json()
self.assertEqual(
response,
{
'data': {
'sender': UserData(**self.get_new_user(1)).dict(), **GetMessage(
**{
**async_loop(message_crud.get(self.session, id=1)).__dict__,
'viewed': False,
'msg': 'Hello world!'
},
).dict()
}, 'type': SEND
}
)
response = socket_sender_2.receive_json()
self.assertEqual(
response,
{'data': {'msg': 'Message has been send'}, 'type': SUCCESS}
)
response = socket_sender_2.receive_json()
self.assertEqual(
response,
{
'data': {
'sender': UserData(**self.get_new_user(1)).dict(), **GetMessage(
**{
**async_loop(message_crud.get(self.session, id=1)).__dict__,
'viewed': False,
'msg': 'Hello world!'
},
).dict()
}, 'type': SEND
}
)
response = socket_recipient_2.receive_json()
self.assertEqual(
response,
{
'data': {
'sender': UserData(**self.get_new_user(1)).dict(), **GetMessage(
**{
**async_loop(message_crud.get(self.session, id=1)).__dict__,
'viewed': False,
'msg': 'Hello world!'
},
).dict()
}, 'type': SEND
}
)
self.assertEqual(len(async_loop(message_crud.all(self.session))), 1)
self.assertEqual(len(async_loop(dialogue_crud.all(self.session))), 1)
self.assertEqual(len(async_loop(notification_crud.all(self.session))), 1)
self.assertEqual(async_loop(message_crud.get(self.session, id=1)).viewed, False)
self.assertEqual(async_loop(dialogue_crud.get(self.session, id=1)).users_ids, '1_2')
self.assertEqual(async_loop(message_crud.get(self.session, id=1)).dialogue_id, 1)
socket_sender_1.close()
socket_recipient_1.close()
socket_sender_2.close()
socket_recipient_2.close()
def test_only_1_sender_connection_second_message_after_recipient(self):
schema = CreateMessage(sender_id=1, msg='Hello world!', recipient_id=2)
async_loop(dialogue_crud.create(self.session, users_ids=f'1_2'))
del schema.recipient_id
async_loop(message_crud.create(self.session, **schema.dict(), dialogue_id=1))
async_loop(notification_crud.create(self.session, sender_id=schema.sender_id, message_id=1, recipient_id=2))
self.assertEqual(len(async_loop(message_crud.all(self.session))), 1)
self.assertEqual(len(async_loop(dialogue_crud.all(self.session))), 1)
self.assertEqual(len(async_loop(notification_crud.all(self.session))), 1)
with mock.patch('app.requests.sender_profile_request', return_value=self.get_new_user(2)) as _:
with mock.patch('app.requests.get_user_request', return_value=self.get_new_user(1)) as _:
with mock.patch('app.requests.get_sender_data_request', return_value=self.get_new_user(2)) as _:
with self.client.websocket_connect(f'{self.url}/messages/ws/token') as socket:
socket.send_json({'msg': 'Hello world!', 'recipient_id': 1, 'type': SEND})
response = socket.receive_json()
self.assertEqual(
response,
{'data': {'msg': 'Message has been send'}, 'type': SUCCESS}
)
response = socket.receive_json()
self.assertEqual(
response,
{
'data': {
'sender': UserData(**self.get_new_user(2)).dict(), **GetMessage(
**{
**async_loop(message_crud.get(self.session, id=2)).__dict__,
'viewed': False,
'msg': 'Hello world!'
},
).dict()
}, 'type': SEND
}
)
self.assertEqual(len(async_loop(message_crud.all(self.session))), 2)
self.assertEqual(len(async_loop(dialogue_crud.all(self.session))), 1)
self.assertEqual(async_loop(message_crud.get(self.session, id=1)).viewed, False)
self.assertEqual(async_loop(message_crud.get(self.session, id=2)).viewed, False)
self.assertEqual(async_loop(dialogue_crud.get(self.session, id=1)).users_ids, '1_2')
socket.close()
self.assertEqual(async_loop(message_crud.get(self.session, id=2)).dialogue_id, 1)
self.assertEqual(len(async_loop(notification_crud.all(self.session))), 2)
def test_only_1_sender_connection_second_message_after_sender(self):
schema = CreateMessage(sender_id=1, msg='Hello world!', recipient_id=2)
async_loop(dialogue_crud.create(self.session, users_ids=f'1_2'))
del schema.recipient_id
async_loop(message_crud.create(self.session, **schema.dict(), dialogue_id=1))
async_loop(notification_crud.create(self.session, sender_id=schema.sender_id, message_id=1, recipient_id=2))
self.assertEqual(len(async_loop(message_crud.all(self.session))), 1)
self.assertEqual(len(async_loop(dialogue_crud.all(self.session))), 1)
self.assertEqual(len(async_loop(notification_crud.all(self.session))), 1)
with mock.patch('app.requests.sender_profile_request', return_value=self.get_new_user(1)) as _:
with mock.patch('app.requests.get_user_request', return_value=self.get_new_user(2)) as _:
with mock.patch('app.requests.get_sender_data_request', return_value=self.get_new_user(1)) as _:
with self.client.websocket_connect(f'{self.url}/messages/ws/token') as socket:
socket.send_json({'msg': 'Hello world!', 'recipient_id': 2, 'type': SEND})
response = socket.receive_json()
self.assertEqual(
response,
{'data': {'msg': 'Message has been send'}, 'type': SUCCESS}
)
response = socket.receive_json()
self.assertEqual(
response,
{
'data': {
'sender': UserData(**self.get_new_user(1)).dict(), **GetMessage(
**{
**async_loop(message_crud.get(self.session, id=2)).__dict__,
'viewed': False,
'msg': 'Hello world!'
},
).dict()
}, 'type': SEND
}
)
self.assertEqual(len(async_loop(message_crud.all(self.session))), 2)
self.assertEqual(len(async_loop(dialogue_crud.all(self.session))), 1)
self.assertEqual(async_loop(message_crud.get(self.session, id=1)).viewed, False)
self.assertEqual(async_loop(message_crud.get(self.session, id=2)).viewed, False)
self.assertEqual(async_loop(dialogue_crud.get(self.session, id=1)).users_ids, '1_2')
socket.close()
self.assertEqual(async_loop(message_crud.get(self.session, id=2)).dialogue_id, 1)
self.assertEqual(len(async_loop(notification_crud.all(self.session))), 2)
class BadSendMessageTestCase(BaseTest, TestCase):
def test_yourself(self):
self.assertEqual(len(async_loop(message_crud.all(self.session))), 0)
self.assertEqual(len(async_loop(dialogue_crud.all(self.session))), 0)
self.assertEqual(len(async_loop(notification_crud.all(self.session))), 0)
with mock.patch('app.requests.sender_profile_request', return_value=self.get_new_user(1)) as _:
with mock.patch('app.requests.get_user_request', return_value=self.get_new_user(1)) as _:
with self.client.websocket_connect(f'{self.url}/messages/ws/token') as socket:
socket.send_json({'recipient_id': 1, 'type': SEND, 'msg': 'Hello world!'})
response = socket.receive_json()
self.assertEqual(
response,
{'data': {'detail': {'msg': 'You cannot send yourself message'}}, 'type': ERROR}
)
socket.close()
self.assertEqual(len(async_loop(message_crud.all(self.session))), 0)
self.assertEqual(len(async_loop(dialogue_crud.all(self.session))), 0)
self.assertEqual(len(async_loop(notification_crud.all(self.session))), 0)
def test_bad_recipient(self):
self.assertEqual(len(async_loop(message_crud.all(self.session))), 0)
self.assertEqual(len(async_loop(dialogue_crud.all(self.session))), 0)
self.assertEqual(len(async_loop(notification_crud.all(self.session))), 0)
with mock.patch('app.requests.sender_profile_request', return_value=self.get_new_user(1)) as _:
with mock.patch('app.requests.get_user_request') as recipient:
recipient.side_effect = ValueError()
with self.client.websocket_connect(f'{self.url}/messages/ws/token') as socket:
socket.send_json({'msg': 'Hello world!', 'recipient_id': 2, 'type': SEND})
response = socket.receive_json()
self.assertEqual(
response,
{'data': {'detail': {'msg': 'Recipient not found'}}, 'type': ERROR}
)
self.assertEqual(len(async_loop(message_crud.all(self.session))), 0)
self.assertEqual(len(async_loop(dialogue_crud.all(self.session))), 0)
self.assertEqual(len(async_loop(notification_crud.all(self.session))), 0)
socket.close()
def test_invalid_data_schema(self):
self.assertEqual(len(async_loop(message_crud.all(self.session))), 0)
self.assertEqual(len(async_loop(dialogue_crud.all(self.session))), 0)
self.assertEqual(len(async_loop(notification_crud.all(self.session))), 0)
with mock.patch('app.requests.sender_profile_request', return_value=self.get_new_user(1)) as _:
with mock.patch('app.requests.get_user_request', return_value=self.get_new_user(2)) as _:
with self.client.websocket_connect(f'{self.url}/messages/ws/token') as socket:
socket.send_json({'recipient_id': 2, 'type': SEND})
response = socket.receive_json()
self.assertEqual(
response,
{'data': {'detail': {'msg': 'Invalid SEND data'}}, 'type': ERROR}
)
socket.close()
self.assertEqual(len(async_loop(message_crud.all(self.session))), 0)
self.assertEqual(len(async_loop(dialogue_crud.all(self.session))), 0)
self.assertEqual(len(async_loop(notification_crud.all(self.session))), 0)
def test_not_type(self):
self.assertEqual(len(async_loop(message_crud.all(self.session))), 0)
self.assertEqual(len(async_loop(dialogue_crud.all(self.session))), 0)
self.assertEqual(len(async_loop(notification_crud.all(self.session))), 0)
with mock.patch('app.requests.sender_profile_request', return_value=self.get_new_user(1)) as _:
with mock.patch('app.requests.get_user_request', return_value=self.get_new_user(2)) as _:
with self.client.websocket_connect(f'{self.url}/messages/ws/token') as socket:
socket.send_json({'recipient_id': 2})
response = socket.receive_json()
self.assertEqual(
response,
{'data': {'detail': {'msg': 'Request type not found'}}, 'type': ERROR}
)
socket.close()
self.assertEqual(len(async_loop(message_crud.all(self.session))), 0)
self.assertEqual(len(async_loop(dialogue_crud.all(self.session))), 0)
self.assertEqual(len(async_loop(notification_crud.all(self.session))), 0)
def test_bad_type(self):
self.assertEqual(len(async_loop(message_crud.all(self.session))), 0)
self.assertEqual(len(async_loop(dialogue_crud.all(self.session))), 0)
self.assertEqual(len(async_loop(notification_crud.all(self.session))), 0)
with mock.patch('app.requests.sender_profile_request', return_value=self.get_new_user(1)) as _:
with mock.patch('app.requests.get_user_request', return_value=self.get_new_user(2)) as _:
with self.client.websocket_connect(f'{self.url}/messages/ws/token') as socket:
socket.send_json({'recipient_id': 2, 'type': 'Hello world!'})
response = socket.receive_json()
self.assertEqual(
response,
{'data': {'detail': {'msg': 'Bad request type'}}, 'type': ERROR}
)
socket.close()
self.assertEqual(len(async_loop(message_crud.all(self.session))), 0)
self.assertEqual(len(async_loop(dialogue_crud.all(self.session))), 0)
self.assertEqual(len(async_loop(notification_crud.all(self.session))), 0)
def test_bad_sender(self):
self.assertEqual(len(async_loop(message_crud.all(self.session))), 0)
self.assertEqual(len(async_loop(dialogue_crud.all(self.session))), 0)
self.assertEqual(len(async_loop(notification_crud.all(self.session))), 0)
with mock.patch('app.requests.sender_profile_request') as sender:
sender.side_effect = ValueError('Token lifetime ended')
with self.client.websocket_connect(f'{self.url}/messages/ws/token') as socket:
response = socket.receive_json()
self.assertEqual(
response,
{'data': {'detail': {'msg': 'Token lifetime ended'}}, 'type': ERROR}
)
self.assertEqual(len(async_loop(message_crud.all(self.session))), 0)
self.assertEqual(len(async_loop(dialogue_crud.all(self.session))), 0)
self.assertEqual(len(async_loop(notification_crud.all(self.session))), 0)
socket.close()
| 59.457426 | 126 | 0.481616 | 2,855 | 30,026 | 4.828021 | 0.033975 | 0.129498 | 0.094022 | 0.120139 | 0.941091 | 0.940293 | 0.938262 | 0.937391 | 0.937391 | 0.930717 | 0 | 0.012401 | 0.409145 | 30,026 | 504 | 127 | 59.575397 | 0.764557 | 0 | 0 | 0.717489 | 0 | 0 | 0.091321 | 0.04999 | 0 | 0 | 0 | 0 | 0.266816 | 1 | 0.026906 | false | 0 | 0.013453 | 0 | 0.044843 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
f9323b4e05fd4ddcd6920a27f1994c7b8fa27074 | 11,553 | py | Python | metrics/metric_defaults.py | zhuxinqimac/PS-SC | 7290bf4bf09f06cf6476a54096bb36f5a2935dc7 | [
"Apache-2.0"
] | 39 | 2021-04-13T02:49:33.000Z | 2022-03-30T03:08:46.000Z | metrics/metric_defaults.py | zhuxinqimac/stylegan2 | 5c3bda161ead21ea290de4190d3704e59cf6de64 | [
"BSD-Source-Code"
] | null | null | null | metrics/metric_defaults.py | zhuxinqimac/stylegan2 | 5c3bda161ead21ea290de4190d3704e59cf6de64 | [
"BSD-Source-Code"
] | 5 | 2021-04-13T12:20:28.000Z | 2021-12-31T09:11:46.000Z | # Copyright (c) 2019, NVIDIA Corporation. All rights reserved.
#
# This work is made available under the Nvidia Source Code License-NC.
# To view a copy of this license, visit
# https://nvlabs.github.io/stylegan2/license.html
"""Default metric definitions."""
from dnnlib import EasyDict
#----------------------------------------------------------------------------
metric_defaults = EasyDict([(args.name, args) for args in [
EasyDict(name='fid50k', func_name='metrics.frechet_inception_distance.FID', num_images=50000, minibatch_per_gpu=8),
EasyDict(name='fid1k', func_name='metrics.frechet_inception_distance.FID', num_images=1000, minibatch_per_gpu=8),
EasyDict(name='is50k', func_name='metrics.inception_score.IS', num_images=50000, num_splits=10, minibatch_per_gpu=8),
EasyDict(name='ppl_zfull', func_name='metrics.perceptual_path_length.PPL', num_samples=50000, epsilon=1e-4, space='z', sampling='full', crop=True, minibatch_per_gpu=4, Gs_overrides=dict(dtype='float32', mapping_dtype='float32')),
EasyDict(name='ppl_wfull', func_name='metrics.perceptual_path_length.PPL', num_samples=50000, epsilon=1e-4, space='w', sampling='full', crop=True, minibatch_per_gpu=4, Gs_overrides=dict(dtype='float32', mapping_dtype='float32')),
EasyDict(name='ppl_zend', func_name='metrics.perceptual_path_length.PPL', num_samples=50000, epsilon=1e-4, space='z', sampling='end', crop=True, minibatch_per_gpu=4, Gs_overrides=dict(dtype='float32', mapping_dtype='float32')),
EasyDict(name='ppl_zend_small', func_name='metrics.perceptual_path_length.PPL', num_samples=500, epsilon=1e-4, space='z', sampling='end', crop=True, minibatch_per_gpu=4, Gs_overrides=dict(dtype='float32', mapping_dtype='float32')),
EasyDict(name='ppl_wend', func_name='metrics.perceptual_path_length.PPL', num_samples=50000, epsilon=1e-4, space='w', sampling='end', crop=True, minibatch_per_gpu=4, Gs_overrides=dict(dtype='float32', mapping_dtype='float32')),
EasyDict(name='ppl_wend_small', func_name='metrics.perceptual_path_length.PPL', num_samples=500, epsilon=1e-4, space='w', sampling='end', crop=True, minibatch_per_gpu=4, Gs_overrides=dict(dtype='float32', mapping_dtype='float32')),
EasyDict(name='ppl2_wend', func_name='metrics.perceptual_path_length.PPL', num_samples=50000, epsilon=1e-4, space='w', sampling='end', crop=False, minibatch_per_gpu=4, Gs_overrides=dict(dtype='float32', mapping_dtype='float32')),
EasyDict(name='ppl2_wend_small', func_name='metrics.perceptual_path_length.PPL', num_samples=500, epsilon=1e-4, space='w', sampling='end', crop=False, minibatch_per_gpu=4, Gs_overrides=dict(dtype='float32', mapping_dtype='float32')),
EasyDict(name='ppl2_wfull', func_name='metrics.perceptual_path_length.PPL', num_samples=50000, epsilon=1e-4, space='w', sampling='full', crop=False, minibatch_per_gpu=4, Gs_overrides=dict(dtype='float32', mapping_dtype='float32')),
EasyDict(name='ppl2_wfull_small', func_name='metrics.perceptual_path_length.PPL', num_samples=500, epsilon=1e-4, space='w', sampling='full', crop=False, minibatch_per_gpu=4, Gs_overrides=dict(dtype='float32', mapping_dtype='float32')),
EasyDict(name='ppl2_zfull', func_name='metrics.perceptual_path_length.PPL', num_samples=50000, epsilon=1e-4, space='z', sampling='full', crop=False, minibatch_per_gpu=4, Gs_overrides=dict(dtype='float32', mapping_dtype='float32')),
EasyDict(name='ppl2_zfull_small', func_name='metrics.perceptual_path_length.PPL', num_samples=500, epsilon=1e-4, space='z', sampling='full', crop=False, minibatch_per_gpu=4, Gs_overrides=dict(dtype='float32', mapping_dtype='float32')),
EasyDict(name='ppl2_zend', func_name='metrics.perceptual_path_length.PPL', num_samples=50000, epsilon=1e-4, space='z', sampling='end', crop=False, minibatch_per_gpu=4, Gs_overrides=dict(dtype='float32', mapping_dtype='float32')),
EasyDict(name='ppl2_zend_small', func_name='metrics.perceptual_path_length.PPL', num_samples=500, epsilon=1e-4, space='z', sampling='end', crop=False, minibatch_per_gpu=4, Gs_overrides=dict(dtype='float32', mapping_dtype='float32')),
EasyDict(name='ls', func_name='metrics.linear_separability.LS', num_samples=200000, num_keep=100000, attrib_indices=range(40), minibatch_per_gpu=4),
EasyDict(name='pr50k3', func_name='metrics.precision_recall.PR', num_images=50000, nhood_size=3, minibatch_per_gpu=8, row_batch_size=10000, col_batch_size=10000),
EasyDict(name='tpl_0.1', func_name='metrics.traversal_perceptual_length.TPL', n_samples_per_dim=25, crop=False, n_traversals=50, no_mapping=False, Gs_overrides=dict(dtype='float32', mapping_dtype='float32')),
EasyDict(name='tpl_large_0.1', func_name='metrics.traversal_perceptual_length.TPL', n_samples_per_dim=49, crop=False, n_traversals=300, no_mapping=False, Gs_overrides=dict(dtype='float32', mapping_dtype='float32')),
EasyDict(name='tpl_huge_0.1', func_name='metrics.traversal_perceptual_length.TPL', n_samples_per_dim=193, crop=False, n_traversals=300, no_mapping=False, Gs_overrides=dict(dtype='float32', mapping_dtype='float32')),
EasyDict(name='tpl_small_0.1', func_name='metrics.traversal_perceptual_length.TPL', n_samples_per_dim=25, crop=False, n_traversals=10, no_mapping=False, Gs_overrides=dict(dtype='float32', mapping_dtype='float32')),
EasyDict(name='tpl_small_0.3', func_name='metrics.traversal_perceptual_length.TPL', n_samples_per_dim=25, crop=False, n_traversals=10, no_mapping=False, active_thresh=0.3, Gs_overrides=dict(dtype='float32', mapping_dtype='float32')),
EasyDict(name='tpl_large_0.3', func_name='metrics.traversal_perceptual_length.TPL', n_samples_per_dim=49, crop=False, n_traversals=300, no_mapping=False, active_thresh=0.3, Gs_overrides=dict(dtype='float32', mapping_dtype='float32')),
EasyDict(name='tpl_huge_0.3', func_name='metrics.traversal_perceptual_length.TPL', n_samples_per_dim=49, crop=False, n_traversals=3000, no_mapping=False, active_thresh=0.3, Gs_overrides=dict(dtype='float32', mapping_dtype='float32')),
EasyDict(name='tpl_small_0.5', func_name='metrics.traversal_perceptual_length.TPL', n_samples_per_dim=25, crop=False, n_traversals=10, no_mapping=False, active_thresh=0.5, Gs_overrides=dict(dtype='float32', mapping_dtype='float32')),
EasyDict(name='tpl_large_0.5', func_name='metrics.traversal_perceptual_length.TPL', n_samples_per_dim=49, crop=False, n_traversals=300, no_mapping=False, active_thresh=0.5, Gs_overrides=dict(dtype='float32', mapping_dtype='float32')),
EasyDict(name='tpl_huge_0.5', func_name='metrics.traversal_perceptual_length.TPL', n_samples_per_dim=49, crop=False, n_traversals=3000, no_mapping=False, active_thresh=0.5, Gs_overrides=dict(dtype='float32', mapping_dtype='float32')),
EasyDict(name='factorvae_dsprites_all', func_name='metrics.factor_vae_metric.FactorVAEMetric', dataset_dir='/mnt/hdd/Datasets/dsprites/dsprites_all_noshuffle_tfr', dataset_name='Dsprites', use_latents='[0,1,2,3,4]', batch_size=60, num_train=10000, num_eval=5000, num_variance_estimate=10000),
EasyDict(name='factorvae_dsprites_all_hpc', func_name='metrics.factor_vae_metric.FactorVAEMetric', dataset_dir='/project/xqzhu/disentangle_datasets/dsprites/dsprites_all_noshuffle_tfr', dataset_name='Dsprites', use_latents='[0,1,2,3,4]', batch_size=60, num_train=10000, num_eval=5000, num_variance_estimate=10000),
EasyDict(name='factorvae_dsprites_all_devcube2', func_name='metrics.factor_vae_metric.FactorVAEMetric', dataset_dir='/home/xqzhu/disentangle_datasets/dsprites/dsprites_all_noshuffle_tfr', dataset_name='Dsprites', use_latents='[0,1,2,3,4]', batch_size=60, num_train=10000, num_eval=5000, num_variance_estimate=10000),
EasyDict(name='factorvae_dsprites_scalorixy', func_name='metrics.factor_vae_metric.FactorVAEMetric', dataset_dir='/mnt/hdd/Datasets/dsprites/dsprites_scalorixy_noshuffle_tfr', dataset_name='Dsprites', use_latents='[1,2,3,4]', batch_size=60, num_train=10000, num_eval=5000, num_variance_estimate=10000),
EasyDict(name='factorvae_dsprites_scalorixy_devcube2', func_name='metrics.factor_vae_metric.FactorVAEMetric', dataset_dir='/home/xqzhu/disentangle_datasets/dsprites/dsprites_scalorixy_noshuffle_tfr', dataset_name='Dsprites', use_latents='[1,2,3,4]', batch_size=60, num_train=10000, num_eval=5000, num_variance_estimate=10000),
EasyDict(name='factorvae_dsprites_scalxy', func_name='metrics.factor_vae_metric.FactorVAEMetric', dataset_dir='/mnt/hdd/Datasets/dsprites/dsprites_square_scalxy_noshuffle_tfr', dataset_name='Dsprites', use_latents='[1,3,4]', batch_size=60, num_train=10000, num_eval=5000, num_variance_estimate=10000),
EasyDict(name='factorvae_dsprites_scalxy_devcube2', func_name='metrics.factor_vae_metric.FactorVAEMetric', dataset_dir='/home/xqzhu/disentangle_datasets/dsprites/dsprites_square_scalxy_noshuffle_tfr', dataset_name='Dsprites', use_latents='[1,3,4]', batch_size=60, num_train=10000, num_eval=5000, num_variance_estimate=10000),
EasyDict(name='factorvae_shape3d_all', func_name='metrics.factor_vae_metric.FactorVAEMetric', dataset_dir='/mnt/hdd/Datasets/shapes_3d/shape3d_all_noshuffle_tfr', dataset_name='3DShapes', use_latents='[0,1,2,3,4,5]', batch_size=60, num_train=10000, num_eval=5000, num_variance_estimate=10000),
EasyDict(name='factorvae_shape3d_all_hpc', func_name='metrics.factor_vae_metric.FactorVAEMetric', dataset_dir='/project/xqzhu/disentangle_datasets/shapes_3d/shape3d_all_noshuffle_tfr', dataset_name='3DShapes', use_latents='[0,1,2,3,4,5]', batch_size=60, num_train=10000, num_eval=5000, num_variance_estimate=10000),
EasyDict(name='dci_dsprites_all', func_name='metrics.dci.DCIMetric', dataset_dir='/mnt/hdd/Datasets/dsprites/dsprites_all_noshuffle_tfr', dataset_name='Dsprites', use_latents='[0,1,2,3,4]', batch_size=60, num_train=10000, num_eval=5000),
EasyDict(name='dci_dsprites_all_hpc', func_name='metrics.dci.DCIMetric', dataset_dir='/project/xqzhu/disentangle_datasets/dsprites/dsprites_all_noshuffle_tfr', dataset_name='Dsprites', use_latents='[0,1,2,3,4]', batch_size=60, num_train=10000, num_eval=5000),
EasyDict(name='dci_dsprites_all_devcube2', func_name='metrics.dci.DCIMetric', dataset_dir='/home/xqzhu/disentangle_datasets/dsprites/dsprites_all_noshuffle_tfr', dataset_name='Dsprites', use_latents='[0,1,2,3,4]', batch_size=60, num_train=10000, num_eval=5000),
EasyDict(name='mig_dsprites_all', func_name='metrics.mig_metric.MIGMetric', dataset_dir='/mnt/hdd/Datasets/dsprites/dsprites_all_noshuffle_tfr', dataset_name='Dsprites', use_latents='[0,1,2,3,4]', batch_size=60, num_train=10000),
EasyDict(name='mig_dsprites_all_hpc', func_name='metrics.mig_metric.MIGMetric', dataset_dir='/project/xqzhu/disentangle_datasets/dsprites/dsprites_all_noshuffle_tfr', dataset_name='Dsprites', use_latents='[0,1,2,3,4]', batch_size=60, num_train=10000),
EasyDict(name='mig_dsprites_all_devcube2', func_name='metrics.mig_metric.MIGMetric', dataset_dir='/home/xqzhu/disentangle_datasets/dsprites/dsprites_all_noshuffle_tfr', dataset_name='Dsprites', use_latents='[0,1,2,3,4]', batch_size=60, num_train=10000),
EasyDict(name='ppl_zend_hp', func_name='metrics.perceptual_path_length_v2.PPLV2', num_samples=100000, epsilon=1e-4, space='z', sampling='end', minibatch_per_gpu=16)
]])
#----------------------------------------------------------------------------
| 186.33871 | 335 | 0.7669 | 1,691 | 11,553 | 4.920166 | 0.103489 | 0.069231 | 0.08113 | 0.057692 | 0.921394 | 0.915986 | 0.899038 | 0.886058 | 0.874159 | 0.861899 | 0 | 0.060127 | 0.074353 | 11,553 | 61 | 336 | 189.393443 | 0.717879 | 0.034277 | 0 | 0 | 0 | 0 | 0.351907 | 0.255989 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.020833 | 0 | 0.020833 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
f94b1986afc94332ef605bb3517d13900f0c8cf6 | 6,080 | py | Python | tests/test_alternatives.py | phipleg/trafaret-config | 0063a5027e7db015e0b0b0dafd8159df409121f2 | [
"Apache-2.0",
"MIT"
] | 26 | 2016-12-07T16:40:44.000Z | 2020-11-09T03:27:23.000Z | tests/test_alternatives.py | phipleg/trafaret-config | 0063a5027e7db015e0b0b0dafd8159df409121f2 | [
"Apache-2.0",
"MIT"
] | 6 | 2017-10-27T13:50:21.000Z | 2020-09-24T17:08:48.000Z | tests/test_alternatives.py | phipleg/trafaret-config | 0063a5027e7db015e0b0b0dafd8159df409121f2 | [
"Apache-2.0",
"MIT"
] | 5 | 2016-12-05T10:23:29.000Z | 2020-06-05T15:31:24.000Z | import unittest
from textwrap import dedent
import trafaret as T
from .util import get_err
BEAUTY_ERROR = hasattr(T.DataError, 'trafaret')
class TestEasyAlternatives(unittest.TestCase):
maxDiff = 8192
TRAFARET = T.Dict({
"connection": T.Or(
T.Dict({
"kind": T.Atom("unix"),
"path": T.String(),
}),
T.Dict({
"kind": T.Atom("tcp"),
"host": T.String(),
"port": T.Int,
}),
),
})
if BEAUTY_ERROR:
def test_tcp(self):
self.assertEqual(get_err(self.TRAFARET, u"""
connection:
kind: tcp
host: localhost
port: http
"""), dedent(u"""\
config.yaml:2: connection.port: value can't be converted to int (where .kind is 'tcp')
"""))
def test_unix(self):
self.assertEqual(get_err(self.TRAFARET, u"""
connection:
kind: unix
path: /tmp/sock
port: http
"""), dedent(u"""\
config.yaml:2: connection.port: port is not allowed key (where .kind is 'unix')
"""))
else:
def test_tcp(self):
self.assertEqual(get_err(self.TRAFARET, u"""
connection:
kind: tcp
host: localhost
port: http
"""), dedent(u"""\
config.yaml:3: connection[0].host: host is not allowed key
config.yaml:3: connection[0].kind: value is not exactly 'unix'
config.yaml:3: connection[0].path: is required
config.yaml:3: connection[0].port: port is not allowed key
config.yaml:3: connection[1].port: value can't be converted to int
"""))
def test_unix(self):
self.assertEqual(get_err(self.TRAFARET, u"""
connection:
kind: unix
path: /tmp/sock
port: http
"""), dedent(u"""\
config.yaml:3: connection[0].port: port is not allowed key
config.yaml:3: connection[1].host: is required
config.yaml:3: connection[1].kind: value is not exactly 'tcp'
config.yaml:3: connection[1].path: path is not allowed key
config.yaml:3: connection[1].port: value can't be converted to int
"""))
class TestHardAlternatives(unittest.TestCase):
maxDiff = 8192
TRAFARET = T.Dict({
"connection": T.Or(
T.Dict({
"path": T.String(),
}),
T.Dict({
"host": T.String(),
"port": T.Int,
}),
),
})
if BEAUTY_ERROR:
def test_tcp(self):
self.assertEqual(get_err(self.TRAFARET, u"""
connection:
host: localhost
port: http
"""), dedent(u"""\
config.yaml:3: connection.<alternative 1>.host: host is not allowed key
-> 'localhost'
config.yaml:3: connection.<alternative 1>.path: is required
config.yaml:4: connection.<alternative 1>.port: port is not allowed key
-> 'http'
config.yaml:4: connection.<alternative 2>.port: value can't be converted to int
-> 'http'
"""))
def test_unix(self):
self.assertEqual(get_err(self.TRAFARET, u"""
connection:
path: /tmp/sock
port: http
"""), dedent(u"""\
config.yaml:3: connection.<alternative 2>.host: is required
config.yaml:3: connection.<alternative 2>.path: path is not allowed key
-> '/tmp/sock'
config.yaml:4: connection.<alternative 1>.port: port is not allowed key
-> 'http'
config.yaml:4: connection.<alternative 2>.port: value can't be converted to int
-> 'http'
"""))
else:
def test_tcp(self):
self.assertEqual(get_err(self.TRAFARET, u"""
connection:
host: localhost
port: http
"""), dedent(u"""\
config.yaml:3: connection[0].host: host is not allowed key
config.yaml:3: connection[0].path: is required
config.yaml:3: connection[0].port: port is not allowed key
config.yaml:3: connection[1].port: value can't be converted to int
"""))
def test_unix(self):
self.assertEqual(get_err(self.TRAFARET, u"""
connection:
path: /tmp/sock
port: http
"""), dedent(u"""\
config.yaml:3: connection[0].port: port is not allowed key
config.yaml:3: connection[1].host: is required
config.yaml:3: connection[1].path: path is not allowed key
config.yaml:3: connection[1].port: value can't be converted to int
"""))
class TestMappingOr(unittest.TestCase):
TRAFARET = T.Mapping(T.String, T.Dict({}) | T.Dict({}))
if BEAUTY_ERROR:
def test_items(self):
self.assertEqual(
get_err(self.TRAFARET, u"""test: qwe"""),
dedent(u"""\
config.yaml:1: test.value.<alternative 1>: value is not a dict
config.yaml:1: test.value.<alternative 2>: value is not a dict
"""))
else:
def test_items(self):
self.assertEqual(
get_err(self.TRAFARET, u"""test: qwe"""),
dedent(u"""\
config.yaml:1: test.value[0]: value is not a dict
config.yaml:1: test.value[1]: value is not a dict
"""))
| 34.350282 | 102 | 0.480428 | 661 | 6,080 | 4.381241 | 0.104387 | 0.110497 | 0.083564 | 0.15953 | 0.902279 | 0.856008 | 0.803867 | 0.791782 | 0.783149 | 0.765193 | 0 | 0.019194 | 0.400164 | 6,080 | 176 | 103 | 34.545455 | 0.774883 | 0 | 0 | 0.832215 | 0 | 0.026846 | 0.647862 | 0.037829 | 0 | 0 | 0 | 0 | 0.067114 | 1 | 0.067114 | false | 0 | 0.026846 | 0 | 0.147651 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
f99031f15a86fc10075f0a7f0241c415a3788ef0 | 67,802 | py | Python | models/net_utils.py | luzai/InsightFace_Pytorch | 2f3d865aa5fa14896df27fe9b43a5c4ceb02c7dd | [
"MIT"
] | 4 | 2019-01-24T03:43:36.000Z | 2020-10-24T08:36:28.000Z | models/net_utils.py | luzai/InsightFace_Pytorch | 2f3d865aa5fa14896df27fe9b43a5c4ceb02c7dd | [
"MIT"
] | null | null | null | models/net_utils.py | luzai/InsightFace_Pytorch | 2f3d865aa5fa14896df27fe9b43a5c4ceb02c7dd | [
"MIT"
] | null | null | null | import torch
import torch.nn as nn
import torch.nn.functional as F
class ConvBlock(nn.Module):
# conv -> BN -> active function
def __init__(self, in_c, out_c, kernel=1, stride=1, padding=0, groups=1,
bias=False, activation='ReLU'):
super(ConvBlock, self).__init__()
self.activation = activation
self.conv = nn.Conv2d(in_channels=in_c, out_channels=out_c, kernel_size=kernel, stride=stride,
padding=padding, groups=groups, bias=bias)
self.bn = nn.BatchNorm2d(out_c)
if not activation == 'Linear':
if activation == 'PReLU':
self.af = nn.PReLU(out_c)
elif activation == 'ReLU6':
self.af = nn.ReLU6(inplace=True)
else:
self.af = nn.ReLU(inplace=True)
def forward(self, x):
x = self.conv(x)
x = self.bn(x)
if not self.activation == 'Linear':
x = self.af(x)
return x
class ConvLinearBlock(nn.Module):
# conv -> BN
def __init__(self, in_c, out_c, kernel=1, stride=1, padding=0, groups=1, bias=False):
super(ConvLinearBlock, self).__init__()
self.linearconv = ConvBlock(in_c, out_c, kernel=kernel, stride=stride,
padding=padding, groups=groups, bias=bias, activation='Linear')
def forward(self, x):
out = self.linearconv(x)
return out
class ConvDepthWiseBlock(nn.Module):
def __init__(self, in_c, kernel=3, stride=1, padding=1, bias=False, activation='ReLU'):
super(ConvDepthWiseBlock, self).__init__()
self.convdw = ConvBlock(in_c=in_c, out_c=in_c, kernel=kernel, stride=stride,
padding=padding, groups=in_c, bias=bias, activation=activation)
def forward(self, x):
out = self.convdw(x)
return out
class ConvPointWiseBlock(nn.Module):
def __init__(self, in_c, out_c, stride=1, padding=0, groups=1, bias=False, activation='RuLU'):
super(ConvPointWiseBlock, self).__init__()
self.convpw = ConvBlock(in_c=in_c, out_c=out_c, kernel=1, stride=stride,
padding=padding, groups=groups, bias=bias, activation=activation)
def forward(self, x):
out = self.convpw(x)
return out
class ConvDSBlock(nn.Module):
# depthwise separable convolution
def __init__(self, in_c, out_c, stride=1, activation='ReLU'):
super(ConvDSBlock, self).__init__()
self.convdw = ConvDepthWiseBlock(in_c=in_c, kernel=3, stride=stride, activation=activation)
self.convpw = ConvPointWiseBlock(in_c=in_c, out_c=out_c, stride=1,
padding=0, groups=1, activation=activation)
def forward(self, x):
out = self.convdw(x)
out = self.convpw(out)
return out
class InvertedResidual(nn.Module):
# inverted residual with linear bottleneck
def __init__(self, in_c, out_c, stride=1, expansion_factor=1, activation='ReLU6'):
super(InvertedResidual, self).__init__()
hidden_c = round(in_c) * expansion_factor
self.stride = stride
self.use_connect = self.stride == 1 and in_c == out_c
if expansion_factor == 1:
self.conv_block = nn.Sequential(
# dw
ConvDepthWiseBlock(in_c, stride=stride, activation=activation),
# pw linear
ConvPointWiseBlock(hidden_c, out_c, activation='Linear')
)
else:
self.conv_block = nn.Sequential(
# pw
ConvPointWiseBlock(in_c, hidden_c, activation=activation),
# dw
ConvDepthWiseBlock(hidden_c, stride=stride, activation=activation),
# pw linear
ConvPointWiseBlock(hidden_c, out_c, activation='Linear')
)
def forward(self, x):
if self.use_connect:
x = x + self.conv_block(x)
else:
x = self.conv_block(x)
return x
class ShuffleUnit(nn.Module):
def __init__(self, in_c, out_c, stride, groups, activation='ReLU', use_group=True):
super(ShuffleUnit, self).__init__()
self.bottleneck_channels = out_c // 4
self.stride = stride
self.groups = groups
self.first_layer_groups = groups if use_group else 1
self.group_conv1 = ConvPointWiseBlock(in_c, self.bottleneck_channels,
groups=self.first_layer_groups, activation=activation)
self.dw_conv = ConvDepthWiseBlock(self.bottleneck_channels, kernel=3,
stride=self.stride, activation='Linear')
self.group_conv2 = ConvPointWiseBlock(self.bottleneck_channels, out_c, groups=groups, activation='Linear')
self.average_pool = nn.AvgPool2d(kernel_size=3, stride=2, padding=1)
def forward(self, x):
x1 = x
out = self.group_conv1(x)
out = channel_shuffle(out, self.groups)
out = self.dw_conv(out)
out = self.group_conv2(out)
if self.stride == 2:
x1 = self.average_pool(x1)
out = torch.cat((x1, out), 1)
elif self.stride == 1:
out = out + x
return F.relu(out)
def channel_shuffle(x, groups):
batch_size, channels, height, width = x.data.size()
channels_per_group = channels // groups
# reshape
x = x.view(batch_size, groups, channels_per_group, height, width)
# transpose
torch.transpose(x, 1, 2).contiguous()
# flatten
x = x.view(batch_size, -1, height, width)
return x
def channel_concatenate(x, out):
return torch.cat((x, out), 1)
class ShuffleUnitv2(nn.Module):
def __init__(self, in_c, out_c, stride, activation='ReLU'):
super(ShuffleUnitv2, self).__init__()
self.stride = stride
out_half_c = out_c // 2
if self.stride == 1:
self.unit1 = nn.Sequential(
# pw -> dw -> pw-linear
ConvPointWiseBlock(out_half_c, out_half_c, stride=1, activation=activation),
# input and output have same channels
ConvDepthWiseBlock(out_half_c, stride=1, activation='Linear'),
ConvPointWiseBlock(out_half_c, out_half_c, stride=1, activation=activation)
)
elif self.stride == 2:
self.unit2_branch1 = nn.Sequential(
ConvPointWiseBlock(in_c, out_half_c, stride=1, activation=activation),
ConvDepthWiseBlock(out_half_c, stride=2, activation='Linear'),
ConvPointWiseBlock(out_half_c, out_half_c, stride=1, activation=activation)
)
self.unit2_branch2 = nn.Sequential(
ConvDepthWiseBlock(in_c, stride=2, activation='Linear'),
ConvPointWiseBlock(in_c, out_half_c, stride=1, activation=activation)
)
else:
print("error stride!")
def forward(self, x):
if self.stride == 1:
x_first_half = x[:, :(x.shape[1] // 2), :, :]
x_last_half = x[:, (x.shape[1] // 2):, :, :]
out = channel_concatenate(x_first_half, self.unit1(x_last_half))
elif self.stride == 2:
out = channel_concatenate(self.unit2_branch1(x), self.unit2_branch2(x))
else:
print("error stride!")
return channel_shuffle(out, 2)
class InvertedResidual_as1(nn.Module):
# inverted residual with linear bottleneck
def __init__(self, in_c, out_c, stride=1, expansion_factor=1, activation='ReLU6'):
super(InvertedResidual_as1, self).__init__()
hidden_c = round(in_c) * expansion_factor
self.stride = stride
self.use_connect = self.stride == 1 and in_c == out_c
self.conv_part_c = out_c - in_c
if self.stride == 2:
out_c = self.conv_part_c
if expansion_factor == 1:
self.conv_block = nn.Sequential(
# dw
ConvDepthWiseBlock(in_c, stride=stride, activation=activation),
# pw linear
ConvPointWiseBlock(hidden_c, out_c, activation='Linear')
)
else:
self.conv_block = nn.Sequential(
# pw
ConvPointWiseBlock(in_c, hidden_c, activation=activation),
# dw
ConvDepthWiseBlock(hidden_c, stride=stride, activation=activation),
# pw linear
ConvPointWiseBlock(hidden_c, out_c, activation='Linear')
)
self.maxpool = nn.MaxPool2d(kernel_size=3, stride=2, padding=1)
self.avgpool = nn.AvgPool2d(kernel_size=3, stride=2, padding=1)
def forward(self, x):
if self.use_connect:
x = x + self.conv_block(x)
elif self.stride == 2:
banch1 = self.maxpool(x)
# banch1 = self.avgpool(x)
banch2 = self.conv_block(x)
x = channel_concatenate(banch1, banch2)
else:
x = self.conv_block(x)
return x
class InvertedResidual_as2(nn.Module):
# inverted residual with linear bottleneck
def __init__(self, in_c, out_c, stride=1, expansion_factor=1, activation='ReLU6'):
super(InvertedResidual_as2, self).__init__()
hidden_c = round(in_c) * expansion_factor
self.stride = stride
self.use_connect = self.stride == 1 and in_c == out_c
# self.conv_part_c = out_c - in_c
if self.use_connect:
out_half_c = out_c // 2
in_c = in_c // 2
elif self.stride == 2:
out_half_c = out_c // 2
else:
out_half_c = out_c
if self.stride == 2:
# out_c = self.conv_part_c
self.unit2_branch2 = nn.Sequential(
ConvDepthWiseBlock(in_c, stride=2, activation='Linear'),
ConvPointWiseBlock(in_c, out_half_c, stride=1, activation=activation)
)
if expansion_factor == 1:
self.conv_block = nn.Sequential(
# dw
ConvDepthWiseBlock(in_c, stride=stride, activation=activation),
# pw linear
ConvPointWiseBlock(hidden_c, out_half_c, activation='Linear')
)
else:
self.conv_block = nn.Sequential(
# pw
ConvPointWiseBlock(in_c, hidden_c, activation=activation),
# dw
ConvDepthWiseBlock(hidden_c, stride=stride, activation=activation),
# pw linear
ConvPointWiseBlock(hidden_c, out_half_c, activation='Linear')
)
def forward(self, x):
if self.use_connect:
x_first_half = x[:, :(x.shape[1] // 2), :, :]
x_last_half = x[:, (x.shape[1] // 2):, :, :]
out = channel_concatenate(x_first_half, self.conv_block(x_last_half))
out = channel_shuffle(out, 2)
elif self.stride == 2:
out = channel_concatenate(self.unit2_branch2(x), self.conv_block(x))
out = channel_shuffle(out, 2)
else:
out = self.conv_block(x)
return out
class InvertedResidual_as3(nn.Module):
# inverted residual with linear bottleneck
def __init__(self, in_c, out_c, stride=1, expansion_factor=1, activation='ReLU6'):
super(InvertedResidual_as3, self).__init__()
hidden_c = round(in_c) * expansion_factor
self.stride = stride
self.use_connect = self.stride == 1 and in_c == out_c
self.conv_part_c = out_c - in_c
if self.stride == 2:
out_c = self.conv_part_c
if expansion_factor == 1:
self.conv_block = nn.Sequential(
# dw
ConvDepthWiseBlock(in_c, stride=stride, activation=activation),
# pw linear
ConvPointWiseBlock(hidden_c, out_c, activation='Linear')
)
else:
self.conv_block = nn.Sequential(
# pw
ConvPointWiseBlock(in_c, hidden_c, activation=activation),
# dw
ConvDepthWiseBlock(hidden_c, stride=stride, activation=activation),
# pw linear
ConvPointWiseBlock(hidden_c, out_c, activation='Linear')
)
self.maxpool = nn.MaxPool2d(kernel_size=3, stride=2, padding=1)
self.avgpool = nn.AvgPool2d(kernel_size=3, stride=2, padding=1)
def forward(self, x):
if self.use_connect:
x = x + self.conv_block(x)
elif self.stride == 2:
banch1 = self.maxpool(x)
# banch1 = self.avgpool(x)
banch2 = self.conv_block(x)
x = channel_concatenate(banch1, banch2)
x = channel_shuffle(x, 2)
else:
x = self.conv_block(x)
return x
class InvertedResidual_as4(nn.Module):
# inverted residual with linear bottleneck
def __init__(self, in_c, out_c, stride=1, expansion_factor=1, activation='ReLU6'):
super(InvertedResidual_as4, self).__init__()
hidden_c = round(in_c) * expansion_factor
self.stride = stride
self.use_connect = self.stride == 1 and in_c == out_c
if expansion_factor == 1:
self.conv_block = nn.Sequential(
# dw
ConvDepthWiseBlock(in_c, stride=stride, activation=activation),
# pw linear
ConvPointWiseBlock(hidden_c, out_c, activation='Linear')
)
else:
self.conv_block = nn.Sequential(
# pw
ConvPointWiseBlock(in_c, hidden_c, activation=activation),
# dw
ConvDepthWiseBlock(hidden_c, stride=stride, activation=activation),
# pw linear
ConvPointWiseBlock(hidden_c, out_c, activation='Linear')
)
self.se = SEBlock(out_c)
def forward(self, x):
if self.use_connect:
x = x + self.se(self.conv_block(x))
else:
x = self.se(self.conv_block(x))
return x
class SEBlock(nn.Module):
def __init__(self, in_c, reduction=16):
super(SEBlock, self).__init__()
self.avgpool = nn.AdaptiveAvgPool2d(1)
self.fc = nn.Sequential(
nn.Linear(in_c, in_c // reduction, bias=False),
nn.ReLU(inplace=True),
nn.Linear(in_c // reduction, in_c, bias=False),
nn.Sigmoid()
)
def forward(self, x):
b, c, _, _ = x.size()
y = self.avgpool(x).view(b, c)
y = self.fc(y).view(b, c, 1, 1)
return x * y.expand_as(x)
class InvertedResidual_as5(nn.Module):
# inverted residual with linear bottleneck
def __init__(self, in_c, out_c, stride=1, expansion_factor=1, activation='ReLU6'):
super(InvertedResidual_as5, self).__init__()
hidden_c = round(in_c) * expansion_factor
self.stride = stride
self.use_connect = self.stride == 1 and in_c == out_c
self.out_c = out_c
# self.conv_part_c = out_c - in_c
if self.use_connect:
out_half_c = out_c // 2
in_c = in_c // 2
elif self.stride == 2:
out_half_c = out_c // 2
else:
out_half_c = out_c
if self.stride == 2:
# out_c = self.conv_part_c
self.unit2_branch2 = nn.Sequential(
ConvDepthWiseBlock(in_c, stride=2, activation='Linear'),
ConvPointWiseBlock(in_c, out_half_c, stride=1, activation=activation)
)
if expansion_factor == 1:
self.conv_block = nn.Sequential(
# dw
ConvDepthWiseBlock(in_c, stride=stride, activation=activation),
# pw linear
ConvPointWiseBlock(hidden_c, out_half_c, activation='Linear')
)
else:
self.conv_block = nn.Sequential(
# pw
ConvPointWiseBlock(in_c, hidden_c, activation=activation),
# dw
ConvDepthWiseBlock(hidden_c, stride=stride, activation=activation),
# pw linear
ConvPointWiseBlock(hidden_c, out_half_c, activation='Linear')
)
if self.out_c // 2 >= 16:
self.se = SEBlock(out_half_c)
def forward(self, x):
if self.use_connect:
x_first_half = x[:, :(x.shape[1] // 2), :, :]
x_last_half = x[:, (x.shape[1] // 2):, :, :]
out = self.conv_block(x_last_half)
if (self.out_c // 2) >= 16:
out = self.se(out)
out = channel_concatenate(x_first_half, out)
out = channel_shuffle(out, 2)
elif self.stride == 2:
out = self.conv_block(x)
if (self.out_c // 2) >= 16:
out = self.se(out)
out = channel_concatenate(self.se(self.unit2_branch2(x)), out)
out = channel_shuffle(out, 2)
else:
out = self.conv_block(x)
if (self.out_c // 2) >= 16:
out = self.se(out)
return out
class InvertedResidual_as5_3(nn.Module):
# inverted residual with linear bottleneck
def __init__(self, in_c, out_c, stride=1, expansion_factor=1, activation='ReLU6'):
super(InvertedResidual_as5_3, self).__init__()
hidden_c = round(in_c) * expansion_factor
self.stride = stride
self.use_connect = self.stride == 1 and in_c == out_c
self.out_c = out_c
# as5_4:
# if self.out_c // 2 >= 16:
# self.reduction = 16
# else:
# self.reduction = 8
self.reduction = 8
# self.conv_part_c = out_c - in_c
if self.use_connect:
out_half_c = out_c // 2
in_c = in_c // 2
elif self.stride == 2:
out_half_c = out_c // 2
else:
out_half_c = out_c
if self.stride == 2:
# out_c = self.conv_part_c
self.unit2_branch2 = nn.Sequential(
ConvDepthWiseBlock(in_c, stride=2, activation='Linear'),
ConvPointWiseBlock(in_c, out_half_c, stride=1, activation=activation)
)
if expansion_factor == 1:
self.conv_block = nn.Sequential(
# dw
ConvDepthWiseBlock(in_c, stride=stride, activation=activation),
# pw linear
ConvPointWiseBlock(hidden_c, out_half_c, activation='Linear')
)
else:
self.conv_block = nn.Sequential(
# pw
ConvPointWiseBlock(in_c, hidden_c, activation=activation),
# dw
ConvDepthWiseBlock(hidden_c, stride=stride, activation=activation),
# pw linear
ConvPointWiseBlock(hidden_c, out_half_c, activation='Linear')
)
if self.out_c // 2 >= self.reduction:
self.se = SEBlock(out_half_c, self.reduction)
def forward(self, x):
if self.use_connect:
x_first_half = x[:, :(x.shape[1] // 2), :, :]
x_last_half = x[:, (x.shape[1] // 2):, :, :]
out = self.conv_block(x_last_half)
if (self.out_c // 2) >= self.reduction:
out = self.se(out)
out = channel_concatenate(x_first_half, out)
out = channel_shuffle(out, 2)
elif self.stride == 2:
out = self.conv_block(x)
if (self.out_c // 2) >= self.reduction:
out = self.se(out)
out = channel_concatenate(self.se(self.unit2_branch2(x)), out)
out = channel_shuffle(out, 2)
else:
out = self.conv_block(x)
if (self.out_c // 2) >= self.reduction:
out = self.se(out)
return out
class InvertedResidual_as6(nn.Module):
# inverted residual with linear bottleneck
def __init__(self, in_c, out_c, stride=1, expansion_factor=1, activation='ReLU6'):
super(InvertedResidual_as6, self).__init__()
hidden_c = round(in_c) * expansion_factor
self.stride = stride
self.use_connect = self.stride == 1 and in_c == out_c
self.padding = 0 if self.stride == 1 else 1
if expansion_factor == 1:
self.conv_block = nn.Sequential(
ConvDepthWiseBlock_as6(hidden_c, stride=(stride, 1), kernel=(3, 1), activation=activation),
# ConvPointWiseBlock(hidden_c, hidden_c, activation=activation),
ConvDepthWiseBlock_as6(hidden_c, stride=(1, stride), kernel=(1, 3), activation=activation, padding=0),
ConvPointWiseBlock(hidden_c, out_c, activation='Linear')
)
else:
self.conv_block = nn.Sequential(
# pw
ConvPointWiseBlock(in_c, hidden_c, activation=activation),
# dw
ConvDepthWiseBlock_as6(hidden_c, stride=(stride, 1), kernel=(3, 1), activation=activation),
# ConvPointWiseBlock(hidden_c, hidden_c, activation=activation),
ConvDepthWiseBlock_as6(hidden_c, stride=(1, stride), kernel=(1, 3), activation=activation, padding=0),
ConvPointWiseBlock(hidden_c, out_c, activation='Linear')
)
def forward(self, x):
if self.use_connect:
x = x + self.conv_block(x)
else:
x = self.conv_block(x)
return x
class ConvBlock_as6(nn.Module):
# conv -> BN -> active function
def __init__(self, in_c, out_c, kernel=(3, 3), stride=(1, 1), padding=0, groups=1,
bias=False, activation='ReLU'):
super(ConvBlock_as6, self).__init__()
self.activation = activation
self.conv = nn.Conv2d(in_channels=in_c, out_channels=out_c, kernel_size=kernel, stride=stride,
padding=padding, groups=groups, bias=bias)
self.bn = nn.BatchNorm2d(out_c)
if not activation == 'Linear':
if activation == 'PReLU':
self.af = nn.PReLU(out_c)
elif activation == 'ReLU6':
self.af = nn.ReLU6(inplace=True)
else:
self.af = nn.ReLU(inplace=True)
def forward(self, x):
x = self.conv(x)
x = self.bn(x)
if not self.activation == 'Linear':
x = self.af(x)
return x
class ConvDepthWiseBlock_as6(nn.Module):
def __init__(self, in_c, kernel=(3, 3), stride=(1, 1), padding=1, bias=False, activation='ReLU'):
super(ConvDepthWiseBlock_as6, self).__init__()
self.convdw = ConvBlock(in_c=in_c, out_c=in_c, kernel=kernel, stride=stride,
padding=padding, groups=in_c, bias=bias, activation=activation)
def forward(self, x):
out = self.convdw(x)
return out
class InvertedResidual_as8(nn.Module):
# inverted residual with linear bottleneck
def __init__(self, in_c, out_c, stride=1, expansion_factor=1, activation='ReLU6'):
super(InvertedResidual_as8, self).__init__()
hidden_c = round(in_c) * expansion_factor
self.stride = stride
self.use_connect = self.stride == 1 and in_c == out_c
# self.conv_part_c = out_c - in_c
if self.use_connect:
out_half_c = out_c // 3
in_c = out_half_c
elif self.stride == 2:
out_half_c = out_c // 2
else:
out_half_c = out_c
if self.stride == 2:
# out_c = self.conv_part_c
self.unit2_branch2 = nn.Sequential(
ConvDepthWiseBlock(in_c, stride=2, activation='Linear'),
ConvPointWiseBlock(in_c, out_half_c, stride=1, activation=activation)
)
if expansion_factor == 1:
self.conv_block = nn.Sequential(
# dw
ConvDepthWiseBlock(in_c, stride=stride, activation=activation),
# pw linear
ConvPointWiseBlock(hidden_c, out_half_c, activation='Linear')
)
else:
self.conv_block = nn.Sequential(
# pw
ConvPointWiseBlock(in_c, hidden_c, activation=activation),
# dw
ConvDepthWiseBlock(hidden_c, stride=stride, activation=activation),
# pw linear
ConvPointWiseBlock(hidden_c, out_half_c, activation='Linear')
)
if self.use_connect:
self.branch3 = nn.Sequential(
# pw -> dw -> pw-linear
ConvPointWiseBlock(out_half_c, out_half_c, stride=1, activation=activation),
# input and output have same channels
ConvDepthWiseBlock(out_half_c, stride=1, activation='Linear'),
ConvPointWiseBlock(out_half_c, out_half_c, stride=1, activation=activation)
)
def forward(self, x):
if self.use_connect:
x_first_part = x[:, :(x.shape[1] // 3), :, :]
x_second_part = x[:, (x.shape[1] // 3):(x.shape[1] // 3) * 2, :, :]
x_last_part = x[:, (x.shape[1] // 3) * 2:, :, :]
out = channel_concatenate(self.branch3(x_first_part), self.conv_block(x_second_part))
out = channel_concatenate(out, x_last_part)
out = channel_shuffle(out, 4)
elif self.stride == 2:
out = channel_concatenate(self.unit2_branch2(x), self.conv_block(x))
out = channel_shuffle(out, 2)
else:
out = self.conv_block(x)
return out
class InvertedResidual_as2_2(nn.Module):
# inverted residual with linear bottleneck
def __init__(self, in_c, out_c, stride=1, expansion_factor=1, activation='ReLU6'):
super(InvertedResidual_as2_2, self).__init__()
hidden_c = round(in_c) * expansion_factor
self.stride = stride
self.use_connect = self.stride == 1 and in_c == out_c
# self.conv_part_c = out_c - in_c
self.out_c = out_c
self.in_c = in_c
if self.use_connect:
out_half_c = out_c // 2
in_half_c = in_c // 2
elif self.stride == 2:
out_half_c = out_c // 2
in_half_c = in_c // 2
else:
if in_c < out_c:
out_half_c = in_c
in_half_c = in_c
self.remain_c = out_c - in_c
else:
out_half_c = out_c
in_half_c = in_c
if self.stride == 2:
# out_c = self.conv_part_c
self.unit2_branch2 = nn.Sequential(
ConvDepthWiseBlock(in_half_c, stride=2, activation='Linear'),
ConvPointWiseBlock(in_half_c, out_half_c, stride=1, activation=activation)
)
if expansion_factor == 1:
self.conv_block = nn.Sequential(
# dw
ConvDepthWiseBlock(in_half_c, stride=stride, activation=activation),
# pw linear
ConvPointWiseBlock(hidden_c, out_half_c, activation='Linear')
)
else:
self.conv_block = nn.Sequential(
# pw
ConvPointWiseBlock(in_half_c, hidden_c, activation=activation),
# dw
ConvDepthWiseBlock(hidden_c, stride=stride, activation=activation),
# pw linear
ConvPointWiseBlock(hidden_c, out_half_c, activation='Linear')
)
def forward(self, x):
if self.use_connect:
x_first_half = x[:, :(x.shape[1] // 2), :, :]
x_last_half = x[:, (x.shape[1] // 2):, :, :]
out = channel_concatenate(x_first_half, self.conv_block(x_last_half))
out = channel_shuffle(out, 2)
elif self.stride == 2:
out = channel_concatenate(self.unit2_branch2(x), self.conv_block(x))
out = channel_shuffle(out, 2)
else:
if self.out_c > self.in_c:
out = channel_concatenate(self.unit3_branch2(x), self.conv_block(x))
out = channel_shuffle(out, 2)
else:
out = self.conv_block(x)
return out
class InvertedResidual_as8_2(nn.Module):
# inverted residual with linear bottleneck
def __init__(self, in_c, out_c, stride=1, expansion_factor=1, activation='ReLU6'):
super(InvertedResidual_as8_2, self).__init__()
hidden_c = round(in_c) * expansion_factor
self.stride = stride
self.use_connect = self.stride == 1 and in_c == out_c
# self.conv_part_c = out_c - in_c
if self.use_connect:
out_half_c = out_c // 3
in_c = out_half_c
elif self.stride == 2:
out_half_c = out_c // 2
else:
out_half_c = out_c
if self.stride == 2:
# out_c = self.conv_part_c
self.unit2_branch2 = nn.Sequential(
ConvDepthWiseBlock(in_c, stride=2, activation='Linear'),
ConvPointWiseBlock(in_c, out_half_c, stride=1, activation=activation)
)
if expansion_factor == 1:
self.conv_block = nn.Sequential(
# dw
ConvDepthWiseBlock(in_c, stride=stride, activation=activation),
# pw linear
ConvPointWiseBlock(hidden_c, out_half_c, activation='Linear')
)
else:
self.conv_block = nn.Sequential(
# pw
ConvPointWiseBlock(in_c, hidden_c, activation=activation),
# dw
ConvDepthWiseBlock(hidden_c, stride=stride, activation=activation),
# pw linear
ConvPointWiseBlock(hidden_c, out_half_c, activation='Linear')
)
if self.use_connect:
self.branch3 = nn.Sequential(
# pw -> dw -> pw-linear
ConvPointWiseBlock(out_half_c, out_half_c, stride=1, activation=activation),
# input and output have same channels
ConvDepthWiseBlock(out_half_c, stride=1, activation='Linear'),
ConvPointWiseBlock(out_half_c, out_half_c, stride=1, activation=activation)
)
def forward(self, x):
if self.use_connect:
x_first_part = x[:, :(x.shape[1] // 3), :, :]
x_second_part = x[:, (x.shape[1] // 3):(x.shape[1] // 3) * 2, :, :]
x_last_part = x[:, (x.shape[1] // 3) * 2:, :, :]
out = channel_concatenate(self.conv_block(x_first_part), self.conv_block(x_second_part))
out = channel_concatenate(out, x_last_part)
out = channel_shuffle(out, 4)
elif self.stride == 2:
out = channel_concatenate(self.unit2_branch2(x), self.conv_block(x))
out = channel_shuffle(out, 2)
else:
out = self.conv_block(x)
return out
class InvertedResidual_as8_3(nn.Module):
# inverted residual with linear bottleneck
def __init__(self, in_c, out_c, stride=1, expansion_factor=1, activation='ReLU6'):
super(InvertedResidual_as8_3, self).__init__()
hidden_c = round(in_c) * expansion_factor
self.stride = stride
self.use_connect = self.stride == 1 and in_c == out_c
# self.conv_part_c = out_c - in_c
if self.use_connect:
out_half_c = out_c // 3
in_c = out_half_c
elif self.stride == 2:
out_half_c = out_c // 2
else:
out_half_c = out_c
if self.stride == 2:
# out_c = self.conv_part_c
self.unit2_branch2 = nn.Sequential(
ConvDepthWiseBlock(in_c, stride=2, activation='Linear'),
ConvPointWiseBlock(in_c, out_half_c, stride=1, activation=activation)
)
if expansion_factor == 1:
self.conv_block = nn.Sequential(
# dw
ConvDepthWiseBlock(in_c, stride=stride, activation=activation),
# pw linear
ConvPointWiseBlock(hidden_c, out_half_c, activation='Linear')
)
else:
self.conv_block = nn.Sequential(
# pw
ConvPointWiseBlock(in_c, hidden_c, activation=activation),
# dw
ConvDepthWiseBlock(hidden_c, stride=stride, activation=activation),
# pw linear
ConvPointWiseBlock(hidden_c, out_half_c, activation='Linear')
)
if self.use_connect:
self.branch3 = nn.Sequential(
# pw -> dw -> pw-linear
ConvPointWiseBlock(out_half_c, out_half_c, stride=1, activation=activation),
# input and output have same channels
ConvDepthWiseBlock(out_half_c, stride=1, activation='Linear'),
ConvPointWiseBlock(out_half_c, out_half_c, stride=1, activation=activation)
)
def forward(self, x):
if self.use_connect:
x_first_part = x[:, :(x.shape[1] // 3), :, :]
x_second_part = x[:, (x.shape[1] // 3):(x.shape[1] // 3) * 2, :, :]
x_last_part = x[:, (x.shape[1] // 3) * 2:, :, :]
out = channel_concatenate(self.branch3(x_first_part), self.branch3(x_second_part))
out = channel_concatenate(out, x_last_part)
out = channel_shuffle(out, 4)
elif self.stride == 2:
out = channel_concatenate(self.unit2_branch2(x), self.conv_block(x))
out = channel_shuffle(out, 2)
else:
out = self.conv_block(x)
return out
class InvertedResidual_as8_4(nn.Module):
# inverted residual with linear bottleneck
def __init__(self, in_c, out_c, stride=1, expansion_factor=1, activation='ReLU6'):
super(InvertedResidual_as8_4, self).__init__()
hidden_c = round(in_c) * expansion_factor
self.stride = stride
self.use_connect = self.stride == 1 and in_c == out_c
# self.conv_part_c = out_c - in_c
if self.use_connect:
out_half_c = out_c // 3
in_c = out_half_c
elif self.stride == 2:
out_half_c = out_c // 2
else:
out_half_c = out_c
if self.stride == 2:
# out_c = self.conv_part_c
self.unit2_branch2 = nn.Sequential(
ConvDepthWiseBlock(in_c, stride=2, activation='Linear'),
ConvPointWiseBlock(in_c, out_half_c, stride=1, activation=activation)
)
if expansion_factor == 1:
self.conv_block = nn.Sequential(
# dw
ConvDepthWiseBlock(in_c, stride=stride, activation=activation),
# pw linear
ConvPointWiseBlock(hidden_c, out_half_c, activation='Linear')
)
else:
self.conv_block = nn.Sequential(
# pw
ConvPointWiseBlock(in_c, hidden_c, activation=activation),
# dw
ConvDepthWiseBlock(hidden_c, stride=stride, activation=activation),
# pw linear
ConvPointWiseBlock(hidden_c, out_half_c, activation='Linear')
)
if self.use_connect:
self.branch3 = nn.Sequential(
# pw -> dw -> pw-linear
ConvPointWiseBlock(out_half_c, out_half_c, stride=1, activation=activation),
# input and output have same channels
ConvDepthWiseBlock(out_half_c, stride=1, activation='Linear'),
ConvPointWiseBlock(out_half_c, out_half_c, stride=1, activation=activation)
)
def forward(self, x):
if self.use_connect:
x_first_part = x[:, :(x.shape[1] // 3), :, :]
x_second_part = x[:, (x.shape[1] // 3):(x.shape[1] // 3) * 2, :, :]
x_last_part = x[:, (x.shape[1] // 3) * 2:, :, :]
out = channel_concatenate(self.branch3(x_first_part), self.conv_block(x_second_part))
out = channel_concatenate(out, x_last_part)
out = channel_shuffle(out, 3)
elif self.stride == 2:
out = channel_concatenate(self.unit2_branch2(x), self.conv_block(x))
out = channel_shuffle(out, 2)
else:
out = self.conv_block(x)
return out
class InvertedResidual_as9(nn.Module):
# inverted residual with linear bottleneck
def __init__(self, in_c, out_c, stride=1, expansion_factor=1, activation='ReLU6'):
super(InvertedResidual_as9, self).__init__()
hidden_c = round(in_c) * expansion_factor
self.stride = stride
self.use_connect = self.stride == 1 and in_c == out_c
# self.conv_part_c = out_c - in_c
if self.use_connect:
out_half_c = out_c // 3
in_c = out_half_c
elif self.stride == 2:
out_half_c = out_c // 2
else:
out_half_c = out_c
if self.stride == 2:
# out_c = self.conv_part_c
self.unit2_branch2 = nn.Sequential(
ConvDepthWiseBlock(in_c, stride=2, activation='Linear'),
ConvPointWiseBlock(in_c, out_half_c, stride=1, activation=activation)
)
if expansion_factor == 1:
self.conv_block = nn.Sequential(
# dw
ConvDepthWiseBlock(in_c, stride=stride, activation=activation),
# pw linear
ConvPointWiseBlock(hidden_c, out_half_c, activation='Linear')
)
else:
self.conv_block = nn.Sequential(
# pw
ConvPointWiseBlock(in_c, hidden_c, activation=activation),
# dw
ConvDepthWiseBlock(hidden_c, stride=stride, activation=activation),
# pw linear
ConvPointWiseBlock(hidden_c, out_half_c, activation='Linear')
)
if self.use_connect:
self.branch3 = nn.Sequential(
# pw -> dw -> pw-linear
ConvPointWiseBlock(out_half_c, out_half_c, stride=1, activation=activation),
# input and output have same channels
ConvDepthWiseBlock(out_half_c, stride=1, activation='Linear'),
ConvDepthWiseBlock(out_half_c, stride=1, activation='Linear'),
ConvPointWiseBlock(out_half_c, out_half_c, stride=1, activation=activation)
)
def forward(self, x):
if self.use_connect:
x_first_part = x[:, :(x.shape[1] // 3), :, :]
x_second_part = x[:, (x.shape[1] // 3):(x.shape[1] // 3) * 2, :, :]
x_last_part = x[:, (x.shape[1] // 3) * 2:, :, :]
out = channel_concatenate(self.branch3(x_first_part), self.conv_block(x_second_part))
out = channel_concatenate(out, x_last_part)
out = channel_shuffle(out, 4)
elif self.stride == 2:
out = channel_concatenate(self.unit2_branch2(x), self.conv_block(x))
out = channel_shuffle(out, 2)
else:
out = self.conv_block(x)
return out
class InvertedResidual_as9_2(nn.Module):
# inverted residual with linear bottleneck
def __init__(self, in_c, out_c, stride=1, expansion_factor=1, activation='ReLU6'):
super(InvertedResidual_as9_2, self).__init__()
hidden_c = round(in_c) * expansion_factor
self.stride = stride
self.use_connect = self.stride == 1 and in_c == out_c
# self.conv_part_c = out_c - in_c
if self.use_connect:
out_half_c = out_c // 3
in_c = out_half_c
elif self.stride == 2:
out_half_c = out_c // 2
else:
out_half_c = out_c
if self.stride == 2:
# out_c = self.conv_part_c
self.unit2_branch2 = nn.Sequential(
ConvDepthWiseBlock(in_c, stride=2, activation='Linear'),
ConvPointWiseBlock(in_c, out_half_c, stride=1, activation=activation)
)
if expansion_factor == 1:
self.conv_block = nn.Sequential(
# dw
ConvDepthWiseBlock(in_c, stride=stride, activation=activation),
# pw linear
ConvPointWiseBlock(hidden_c, out_half_c, activation='Linear')
)
else:
self.conv_block = nn.Sequential(
# pw
ConvPointWiseBlock(in_c, hidden_c, activation=activation),
# dw
ConvDepthWiseBlock(hidden_c, stride=stride, activation=activation),
# pw linear
ConvPointWiseBlock(hidden_c, out_half_c, activation='Linear')
)
if self.use_connect:
self.branch3 = nn.Sequential(
# pw -> dw -> pw-linear
ConvPointWiseBlock(out_half_c, out_half_c, stride=1, activation=activation),
# input and output have same channels
ConvDepthWiseBlock(out_half_c, stride=1, activation=activation),
ConvDepthWiseBlock(out_half_c, stride=1, activation=activation),
ConvPointWiseBlock(out_half_c, out_half_c, stride=1, activation=activation)
)
def forward(self, x):
if self.use_connect:
x_first_part = x[:, :(x.shape[1] // 3), :, :]
x_second_part = x[:, (x.shape[1] // 3):(x.shape[1] // 3) * 2, :, :]
x_last_part = x[:, (x.shape[1] // 3) * 2:, :, :]
out = channel_concatenate(self.branch3(x_first_part), self.conv_block(x_second_part))
out = channel_concatenate(out, x_last_part)
out = channel_shuffle(out, 4)
elif self.stride == 2:
out = channel_concatenate(self.unit2_branch2(x), self.conv_block(x))
out = channel_shuffle(out, 2)
else:
out = self.conv_block(x)
return out
class InvertedResidual_as10(nn.Module):
# inverted residual with linear bottleneck
def __init__(self, in_c, out_c, stride=1, expansion_factor=1, activation='ReLU6'):
super(InvertedResidual_as10, self).__init__()
hidden_c = round(in_c) * expansion_factor
self.stride = stride
self.use_connect = self.stride == 1 and in_c == out_c
# self.conv_part_c = out_c - in_c
if self.use_connect:
out_half_c = out_c // 4
in_c = out_half_c
elif self.stride == 2:
out_half_c = out_c // 2
else:
out_half_c = out_c
if self.stride == 2:
# out_c = self.conv_part_c
self.unit2_branch2 = nn.Sequential(
ConvDepthWiseBlock(in_c, stride=2, activation='Linear'),
ConvPointWiseBlock(in_c, out_half_c, stride=1, activation=activation)
)
if expansion_factor == 1:
self.conv_block = nn.Sequential(
# dw
ConvDepthWiseBlock(in_c, stride=stride, activation=activation),
# pw linear
ConvPointWiseBlock(hidden_c, out_half_c, activation='Linear')
)
else:
self.conv_block = nn.Sequential(
# pw
ConvPointWiseBlock(in_c, hidden_c, activation=activation),
# dw
ConvDepthWiseBlock(hidden_c, stride=stride, activation=activation),
# pw linear
ConvPointWiseBlock(hidden_c, out_half_c, activation='Linear')
)
if self.use_connect:
self.branch3 = nn.Sequential(
# pw -> dw -> pw-linear
ConvPointWiseBlock(out_half_c, out_half_c, stride=1, activation=activation),
# input and output have same channels
ConvDepthWiseBlock(out_half_c, stride=1, activation='Linear'),
ConvDepthWiseBlock(out_half_c, stride=1, activation='Linear'),
ConvPointWiseBlock(out_half_c, out_half_c, stride=1, activation=activation)
)
self.branch4 = nn.Sequential(
# pw -> dw -> pw-linear
ConvPointWiseBlock(out_half_c, out_half_c, stride=1, activation=activation),
# input and output have same channels
ConvDepthWiseBlock(out_half_c, stride=1, activation='Linear'),
ConvPointWiseBlock(out_half_c, out_half_c, stride=1, activation=activation)
)
def forward(self, x):
if self.use_connect:
x_first_part = x[:, :(x.shape[1] // 4), :, :]
x_second_part = x[:, (x.shape[1] // 4):(x.shape[1] // 4) * 2, :, :]
x_third_part = x[:, (x.shape[1] // 4) * 2:(x.shape[1] // 4) * 3, :, :]
x_last_part = x[:, (x.shape[1] // 4) * 3:, :, :]
out = channel_concatenate(self.branch4(x_first_part), self.conv_block(x_second_part))
out = channel_concatenate(out, self.branch3(x_third_part))
out = channel_concatenate(out, x_last_part)
out = channel_shuffle(out, 4)
elif self.stride == 2:
out = channel_concatenate(self.unit2_branch2(x), self.conv_block(x))
out = channel_shuffle(out, 2)
else:
out = self.conv_block(x)
return out
class InvertedResidual_as11(nn.Module):
# inverted residual with linear bottleneck
def __init__(self, in_c, out_c, stride=1, expansion_factor=1, activation='ReLU6'):
super(InvertedResidual_as11, self).__init__()
hidden_c = round(in_c) * expansion_factor
self.stride = stride
self.use_connect = self.stride == 1 and in_c == out_c
self.out_c = out_c
self.reduction = 16
# self.conv_part_c = out_c - in_c
if self.use_connect:
out_half_c = out_c // 2
in_c = in_c // 2
elif self.stride == 2:
out_half_c = out_c // 2
else:
out_half_c = out_c
if self.stride == 2:
# out_c = self.conv_part_c
self.unit2_branch2 = nn.Sequential(
ConvDepthWiseBlock(in_c, stride=2, activation='Linear'),
ConvPointWiseBlock(in_c, out_half_c, stride=1, activation=activation)
)
if expansion_factor == 1:
self.conv_block = nn.Sequential(
# dw
ConvDepthWiseBlock(in_c, stride=stride, activation=activation),
# pw linear
ConvPointWiseBlock(hidden_c, out_half_c, activation='Linear')
)
else:
self.conv_block = nn.Sequential(
# pw
ConvPointWiseBlock(in_c, hidden_c, activation=activation),
# dw
ConvDepthWiseBlock(hidden_c, stride=stride, activation=activation),
# pw linear
ConvPointWiseBlock(hidden_c, out_half_c, activation='Linear')
)
if self.out_c >= self.reduction:
self.se = SEBlock(self.out_c, self.reduction)
def forward(self, x):
if self.use_connect:
x_first_half = x[:, :(x.shape[1] // 2), :, :]
x_last_half = x[:, (x.shape[1] // 2):, :, :]
out = self.conv_block(x_last_half)
out = channel_concatenate(x_first_half, out)
if self.out_c >= self.reduction:
out = self.se(out)
out = channel_shuffle(out, 2)
elif self.stride == 2:
out = self.conv_block(x)
out = channel_concatenate(self.unit2_branch2(x), out)
if self.out_c >= self.reduction:
out = self.se(out)
out = channel_shuffle(out, 2)
else:
out = self.conv_block(x)
if (self.out_c // 2) >= self.reduction:
out = self.se(out)
return out
class InvertedResidual_as11_5(nn.Module):
# inverted residual with linear bottleneck
def __init__(self, in_c, out_c, stride=1, expansion_factor=1, activation='ReLU6'):
super(InvertedResidual_as11_5, self).__init__()
hidden_c = round(in_c) * expansion_factor
self.stride = stride
self.use_connect = self.stride == 1 and in_c == out_c
self.out_c = out_c
self.reduction = 8
# self.conv_part_c = out_c - in_c
if self.use_connect:
out_half_c = out_c // 2
in_c = in_c // 2
elif self.stride == 2:
out_half_c = out_c // 2
else:
out_half_c = out_c
if self.stride == 2:
# out_c = self.conv_part_c
self.unit2_branch2 = nn.Sequential(
ConvDepthWiseBlock(in_c, stride=2, activation='Linear'),
ConvPointWiseBlock(in_c, out_half_c, stride=1, activation=activation)
)
if expansion_factor == 1:
self.conv_block = nn.Sequential(
# dw
ConvDepthWiseBlock(in_c, stride=stride, activation=activation),
# pw linear
ConvPointWiseBlock(hidden_c, out_half_c, activation='Linear')
)
else:
self.conv_block = nn.Sequential(
# pw
ConvPointWiseBlock(in_c, hidden_c, activation=activation),
# dw
ConvDepthWiseBlock(hidden_c, stride=stride, activation=activation),
# pw linear
ConvPointWiseBlock(hidden_c, out_half_c, activation='Linear')
)
if self.out_c >= self.reduction:
self.se = SEBlock(self.out_c, self.reduction)
def forward(self, x):
if self.use_connect:
x_first_half = x[:, :(x.shape[1] // 2), :, :]
x_last_half = x[:, (x.shape[1] // 2):, :, :]
out = self.conv_block(x_last_half)
out = channel_concatenate(x_first_half, out)
if self.out_c >= self.reduction:
out = self.se(out)
out = channel_shuffle(out, 2)
elif self.stride == 2:
out = self.conv_block(x)
out = channel_concatenate(self.unit2_branch2(x), out)
if self.out_c >= self.reduction:
out = self.se(out)
out = channel_shuffle(out, 2)
else:
out = self.conv_block(x)
if (self.out_c // 2) >= self.reduction:
out = self.se(out)
return out
class InvertedResidual_as13(nn.Module):
# inverted residual with linear bottleneck
def __init__(self, in_c, out_c, stride=1, expansion_factor=1, activation='ReLU6'):
super(InvertedResidual_as13, self).__init__()
hidden_c = round(in_c) * expansion_factor
self.stride = stride
self.use_connect = self.stride == 1 and in_c == out_c
# self.conv_part_c = out_c - in_c
if self.use_connect:
out_half_c = out_c // 3
in_c = out_half_c
elif self.stride == 2:
out_half_c = out_c // 2
else:
out_half_c = out_c
if self.stride == 2:
# out_c = self.conv_part_c
self.unit2_branch2 = nn.Sequential(
ConvDepthWiseBlock(in_c, stride=2, activation='Linear'),
ConvPointWiseBlock(in_c, out_half_c, stride=1, activation=activation)
)
if expansion_factor == 1:
self.conv_block = nn.Sequential(
# dw
ConvDepthWiseBlock(in_c, stride=stride, activation=activation),
# pw linear
ConvPointWiseBlock(hidden_c, out_half_c, activation='Linear')
)
else:
self.conv_block = nn.Sequential(
# pw
ConvPointWiseBlock(in_c, hidden_c, activation=activation),
# dw
ConvDepthWiseBlock(hidden_c, stride=stride, activation=activation),
# pw linear
ConvPointWiseBlock(hidden_c, out_half_c, activation='Linear')
)
if self.use_connect:
self.branch3 = nn.Sequential(
# pw -> dw -> pw-linear
ConvPointWiseBlock(out_half_c, out_half_c, stride=1, activation=activation),
# input and output have same channels
ConvDepthWiseBlock(out_half_c, stride=1, activation='Linear'),
ConvPointWiseBlock(out_half_c, out_half_c, stride=1, activation=activation)
)
self.branch2 = nn.Sequential(
ConvPointWiseBlock(out_half_c, out_half_c, stride=1, activation=activation),
ConvDepthWiseBlock(out_half_c, stride=1, activation='Linear'),
ConvDepthWiseBlock(out_half_c, stride=1, activation='Linear'),
ConvPointWiseBlock(out_half_c, out_half_c, stride=1, activation=activation)
)
def forward(self, x):
if self.use_connect:
x_first_part = x[:, :(x.shape[1] // 3), :, :]
x_second_part = x[:, (x.shape[1] // 3):(x.shape[1] // 3) * 2, :, :]
x_last_part = x[:, (x.shape[1] // 3) * 2:, :, :]
out = channel_concatenate(self.branch3(x_first_part), self.conv_block(x_second_part))
out = channel_concatenate(out, self.branch2(x_last_part))
out = channel_shuffle(out, 3)
elif self.stride == 2:
out = channel_concatenate(self.unit2_branch2(x), self.conv_block(x))
out = channel_shuffle(out, 2)
else:
out = self.conv_block(x)
return out
class InvertedResidual_as12(nn.Module):
# inverted residual with linear bottleneck
def __init__(self, in_c, out_c, stride=1, expansion_factor=1, activation='ReLU6'):
super(InvertedResidual_as12, self).__init__()
hidden_c = round(in_c) * expansion_factor
self.stride = stride
self.use_connect = self.stride == 1 and in_c == out_c
# self.conv_part_c = out_c - in_c
if self.use_connect:
out_half_c = out_c // 3
in_c = out_half_c
elif self.stride == 2:
out_half_c = out_c // 2
else:
out_half_c = out_c
self.out_half_c = out_half_c
self.reduction = 8
if self.stride == 2:
# out_c = self.conv_part_c
self.unit2_branch2 = nn.Sequential(
ConvDepthWiseBlock(in_c, stride=2, activation='Linear'),
ConvPointWiseBlock(in_c, out_half_c, stride=1, activation=activation)
)
if expansion_factor == 1:
self.conv_block = nn.Sequential(
# dw
ConvDepthWiseBlock(in_c, stride=stride, activation=activation),
# pw linear
ConvPointWiseBlock(hidden_c, out_half_c, activation='Linear')
)
else:
self.conv_block = nn.Sequential(
# pw
ConvPointWiseBlock(in_c, hidden_c, activation=activation),
# dw
ConvDepthWiseBlock(hidden_c, stride=stride, activation=activation),
# pw linear
ConvPointWiseBlock(hidden_c, out_half_c, activation='Linear')
)
if self.use_connect:
self.branch3 = nn.Sequential(
# pw -> dw -> pw-linear
ConvPointWiseBlock(out_half_c, out_half_c, stride=1, activation=activation),
# input and output have same channels
ConvDepthWiseBlock(out_half_c, stride=1, activation='Linear'),
ConvPointWiseBlock(out_half_c, out_half_c, stride=1, activation=activation)
)
if out_half_c >= self.reduction:
self.se = SEBlock(out_half_c, self.reduction)
def forward(self, x):
if self.use_connect:
x_first_part = x[:, :(x.shape[1] // 3), :, :]
x_second_part = x[:, (x.shape[1] // 3):(x.shape[1] // 3) * 2, :, :]
x_last_part = x[:, (x.shape[1] // 3) * 2:, :, :]
x_first_part = self.branch3(x_first_part)
x_second_part = self.conv_block(x_second_part)
if self.out_half_c >= self.reduction:
x_first_part = self.se(x_first_part)
x_second_part = self.se(x_second_part)
out = channel_concatenate(x_first_part, x_second_part)
out = channel_concatenate(out, x_last_part)
out = channel_shuffle(out, 3)
elif self.stride == 2:
x1 = self.unit2_branch2(x)
x2 = self.conv_block(x)
if self.out_half_c >= self.reduction:
x1 = self.se(x1)
x2 = self.se(x2)
out = channel_concatenate(x1, x2)
out = channel_shuffle(out, 2)
else:
out = self.conv_block(x)
if self.out_half_c >= self.reduction:
out = self.se(out)
return out
class InvertedResidual_as12_3(nn.Module):
# inverted residual with linear bottleneck
def __init__(self, in_c, out_c, stride=1, expansion_factor=1, activation='ReLU6'):
super(InvertedResidual_as12_3, self).__init__()
hidden_c = round(in_c) * expansion_factor
self.stride = stride
self.use_connect = self.stride == 1 and in_c == out_c
# self.conv_part_c = out_c - in_c
if self.use_connect:
out_half_c = out_c // 3
in_c = out_half_c
elif self.stride == 2:
out_half_c = out_c // 2
else:
out_half_c = out_c
self.out_half_c = out_half_c
self.reduction = 6
if self.stride == 2:
# out_c = self.conv_part_c
self.unit2_branch2 = nn.Sequential(
ConvDepthWiseBlock(in_c, stride=2, activation='Linear'),
ConvPointWiseBlock(in_c, out_half_c, stride=1, activation=activation)
)
if expansion_factor == 1:
self.conv_block = nn.Sequential(
# dw
ConvDepthWiseBlock(in_c, stride=stride, activation=activation),
# pw linear
ConvPointWiseBlock(hidden_c, out_half_c, activation='Linear')
)
else:
self.conv_block = nn.Sequential(
# pw
ConvPointWiseBlock(in_c, hidden_c, activation=activation),
# dw
ConvDepthWiseBlock(hidden_c, stride=stride, activation=activation),
# pw linear
ConvPointWiseBlock(hidden_c, out_half_c, activation='Linear')
)
if self.use_connect:
self.branch3 = nn.Sequential(
# pw -> dw -> pw-linear
ConvPointWiseBlock(out_half_c, out_half_c, stride=1, activation=activation),
# input and output have same channels
ConvDepthWiseBlock(out_half_c, stride=1, activation='Linear'),
ConvPointWiseBlock(out_half_c, out_half_c, stride=1, activation=activation)
)
if out_half_c >= self.reduction:
self.se = SEBlock(out_half_c, self.reduction)
def forward(self, x):
if self.use_connect:
x_first_part = x[:, :(x.shape[1] // 3), :, :]
x_second_part = x[:, (x.shape[1] // 3):(x.shape[1] // 3) * 2, :, :]
x_last_part = x[:, (x.shape[1] // 3) * 2:, :, :]
x_first_part = self.branch3(x_first_part)
x_second_part = self.conv_block(x_second_part)
if self.out_half_c >= self.reduction:
x_first_part = self.se(x_first_part)
x_second_part = self.se(x_second_part)
out = channel_concatenate(x_first_part, x_second_part)
out = channel_concatenate(out, x_last_part)
out = channel_shuffle(out, 3)
elif self.stride == 2:
x1 = self.unit2_branch2(x)
x2 = self.conv_block(x)
if self.out_half_c >= self.reduction:
x1 = self.se(x1)
x2 = self.se(x2)
out = channel_concatenate(x1, x2)
out = channel_shuffle(out, 2)
else:
out = self.conv_block(x)
if self.out_half_c >= self.reduction:
out = self.se(out)
return out
class InvertedResidual_as12_5(nn.Module):
# inverted residual with linear bottleneck
def __init__(self, in_c, out_c, stride=1, expansion_factor=1, activation='ReLU6'):
super(InvertedResidual_as12_5, self).__init__()
hidden_c = round(in_c) * expansion_factor
self.stride = stride
self.use_connect = self.stride == 1 and in_c == out_c
# self.conv_part_c = out_c - in_c
if self.use_connect:
out_half_c = out_c // 3
in_c = out_half_c
elif self.stride == 2:
out_half_c = out_c // 2
else:
out_half_c = out_c
self.out_half_c = out_half_c
self.reduction = 4
if self.stride == 2:
# out_c = self.conv_part_c
self.unit2_branch2 = nn.Sequential(
ConvDepthWiseBlock(in_c, stride=2, activation='Linear'),
ConvPointWiseBlock(in_c, out_half_c, stride=1, activation=activation)
)
if expansion_factor == 1:
self.conv_block = nn.Sequential(
# dw
ConvDepthWiseBlock(in_c, stride=stride, activation=activation),
# pw linear
ConvPointWiseBlock(hidden_c, out_half_c, activation='Linear')
)
else:
self.conv_block = nn.Sequential(
# pw
ConvPointWiseBlock(in_c, hidden_c, activation=activation),
# dw
ConvDepthWiseBlock(hidden_c, stride=stride, activation=activation),
# pw linear
ConvPointWiseBlock(hidden_c, out_half_c, activation='Linear')
)
if self.use_connect:
self.branch3 = nn.Sequential(
# pw -> dw -> pw-linear
ConvPointWiseBlock(out_half_c, out_half_c, stride=1, activation=activation),
# input and output have same channels
ConvDepthWiseBlock(out_half_c, stride=1, activation='Linear'),
ConvPointWiseBlock(out_half_c, out_half_c, stride=1, activation=activation)
)
if out_half_c >= self.reduction:
self.se = SEBlock(out_half_c, self.reduction)
def forward(self, x):
if self.use_connect:
x_first_part = x[:, :(x.shape[1] // 3), :, :]
x_second_part = x[:, (x.shape[1] // 3):(x.shape[1] // 3) * 2, :, :]
x_last_part = x[:, (x.shape[1] // 3) * 2:, :, :]
x_first_part = self.branch3(x_first_part)
x_second_part = self.conv_block(x_second_part)
if self.out_half_c >= self.reduction:
x_first_part = self.se(x_first_part)
x_second_part = self.se(x_second_part)
out = channel_concatenate(x_first_part, x_second_part)
out = channel_concatenate(out, x_last_part)
out = channel_shuffle(out, 3)
elif self.stride == 2:
x1 = self.unit2_branch2(x)
x2 = self.conv_block(x)
if self.out_half_c >= self.reduction:
x1 = self.se(x1)
x2 = self.se(x2)
out = channel_concatenate(x1, x2)
out = channel_shuffle(out, 2)
else:
out = self.conv_block(x)
if self.out_half_c >= self.reduction:
out = self.se(out)
return out
class InvertedResidual_as16(nn.Module):
# inverted residual with linear bottleneck
def __init__(self, in_c, out_c, stride=1, expansion_factor=1, activation='ReLU6'):
super(InvertedResidual_as16, self).__init__()
hidden_c = round(in_c) * expansion_factor
self.stride = stride
self.use_connect = self.stride == 1 and in_c == out_c
# self.conv_part_c = out_c - in_c
if self.use_connect:
out_half_c = out_c // 3
in_c = out_half_c
elif self.stride == 2:
out_half_c = out_c // 2
else:
out_half_c = out_c
self.out_half_c = out_half_c
self.reduction = 6
if self.stride == 2:
# out_c = self.conv_part_c
self.unit2_branch2 = nn.Sequential(
ConvDepthWiseBlock(in_c, stride=2, activation='Linear'),
ConvPointWiseBlock(in_c, out_half_c, stride=1, activation=activation)
)
if expansion_factor == 1:
self.conv_block = nn.Sequential(
# dw
ConvDepthWiseBlock(in_c, stride=stride, activation=activation),
# pw linear
ConvPointWiseBlock(hidden_c, out_half_c, activation='Linear')
)
else:
self.conv_block = nn.Sequential(
# pw
ConvPointWiseBlock(in_c, hidden_c, activation=activation),
# dw
ConvDepthWiseBlock(hidden_c, stride=stride, activation=activation),
# pw linear
ConvPointWiseBlock(hidden_c, out_half_c, activation='Linear')
)
if self.use_connect:
self.branch3 = nn.Sequential(
# pw -> dw -> pw-linear
ConvPointWiseBlock(out_half_c, out_half_c, stride=1, activation=activation),
# input and output have same channels
ConvDepthWiseBlock(out_half_c, stride=1, activation='Linear'),
ConvPointWiseBlock(out_half_c, out_half_c, stride=1, activation=activation)
)
if out_half_c >= self.reduction:
self.se = SEBlock(out_half_c, self.reduction)
if self.use_connect or self.stride == 2:
self.pwconv = ConvPointWiseBlock(out_c, out_c, stride=1, activation=activation)
def forward(self, x):
if self.use_connect:
x_first_part = x[:, :(x.shape[1] // 3), :, :]
x_second_part = x[:, (x.shape[1] // 3):(x.shape[1] // 3) * 2, :, :]
x_last_part = x[:, (x.shape[1] // 3) * 2:, :, :]
x_first_part = self.branch3(x_first_part)
x_second_part = self.conv_block(x_second_part)
if self.out_half_c >= self.reduction:
x_first_part = self.se(x_first_part)
x_second_part = self.se(x_second_part)
out = channel_concatenate(x_first_part, x_second_part)
out = channel_concatenate(out, x_last_part)
out = self.pwconv(out)
elif self.stride == 2:
x1 = self.unit2_branch2(x)
x2 = self.conv_block(x)
if self.out_half_c >= self.reduction:
x1 = self.se(x1)
x2 = self.se(x2)
out = channel_concatenate(x1, x2)
# out = channel_shuffle(out, 2)
out = self.pwconv(out)
else:
out = self.conv_block(x)
if self.out_half_c >= self.reduction:
out = self.se(out)
return out
| 40.648681 | 118 | 0.558759 | 8,053 | 67,802 | 4.435117 | 0.019372 | 0.029119 | 0.052861 | 0.026207 | 0.939887 | 0.931627 | 0.92642 | 0.920512 | 0.918076 | 0.905673 | 0 | 0.019637 | 0.338294 | 67,802 | 1,667 | 119 | 40.673065 | 0.77644 | 0.056753 | 0 | 0.805924 | 0 | 0 | 0.0115 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.053001 | false | 0 | 0.002338 | 0.000779 | 0.10834 | 0.001559 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
f9c55259a9861ce9328eb9778211e681dee29d04 | 28 | py | Python | src/dummy_test.py | spininertia/graph-mining-rdbms | 3b7652a99c1c0e3f4e680e04bfd08fac9708ea3f | [
"MIT"
] | null | null | null | src/dummy_test.py | spininertia/graph-mining-rdbms | 3b7652a99c1c0e3f4e680e04bfd08fac9708ea3f | [
"MIT"
] | null | null | null | src/dummy_test.py | spininertia/graph-mining-rdbms | 3b7652a99c1c0e3f4e680e04bfd08fac9708ea3f | [
"MIT"
] | 1 | 2018-11-16T18:23:24.000Z | 2018-11-16T18:23:24.000Z | print "Dummy test passed. "
| 14 | 27 | 0.714286 | 4 | 28 | 5 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.178571 | 28 | 1 | 28 | 28 | 0.869565 | 0 | 0 | 0 | 0 | 0 | 0.678571 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 1 | 0 | null | null | 1 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 7 |
f9c9d8b345e29a08137de33b5e5b0c17637901c1 | 5,408 | py | Python | pycoax/tests/test_interface.py | lowobservable/coax | 9714fdfb418dff56357b9a35d2da3a91b8a60ffe | [
"0BSD"
] | 21 | 2020-05-11T19:46:29.000Z | 2022-02-09T01:32:41.000Z | pycoax/tests/test_interface.py | lowobservable/coax-interface | 614f8a5f448b1f7e8298ced2585c178f4d7f435d | [
"0BSD"
] | null | null | null | pycoax/tests/test_interface.py | lowobservable/coax-interface | 614f8a5f448b1f7e8298ced2585c178f4d7f435d | [
"0BSD"
] | 5 | 2020-07-20T08:05:10.000Z | 2022-01-30T13:57:05.000Z | import unittest
from unittest.mock import Mock
import context
from coax.interface import Interface, FrameFormat
from coax.protocol import ReadAddressCounterHi, ReadAddressCounterLo
from coax.exceptions import InterfaceError, ReceiveTimeout, ProtocolError
class InterfaceExecuteTestCase(unittest.TestCase):
def setUp(self):
self.interface = Interface()
self.interface._transmit_receive = Mock()
def test_single_command(self):
# Arrange
self.interface._transmit_receive.return_value=[[0b00000010_00]]
# Act
response = self.interface.execute(ReadAddressCounterHi())
# Assert
self.assertEqual(response, 0x02)
self.interface._transmit_receive.assert_called_once()
(outbound_frames, response_lengths, _) = self.interface._transmit_receive.call_args[0]
self.assertEqual(outbound_frames, [(None, (FrameFormat.WORD_DATA, 0b000_00101_01))])
self.assertEqual(response_lengths, [1])
def test_single_addressed_command(self):
# Arrange
self.interface._transmit_receive.return_value=[[0b00000010_00]]
# Act
response = self.interface.execute((0b111000, ReadAddressCounterHi()))
# Assert
self.assertEqual(response, 0x02)
self.interface._transmit_receive.assert_called_once()
(outbound_frames, response_lengths, _) = self.interface._transmit_receive.call_args[0]
self.assertEqual(outbound_frames, [(0b111000, (FrameFormat.WORD_DATA, 0b000_00101_01))])
self.assertEqual(response_lengths, [1])
def test_multiple_commands(self):
# Arrange
self.interface._transmit_receive.return_value=[[0b00000010_00], [0b11111111_00]]
# Act
response = self.interface.execute([ReadAddressCounterHi(), ReadAddressCounterLo()])
# Assert
self.assertEqual(response, [0x02, 0xff])
self.interface._transmit_receive.assert_called_once()
(outbound_frames, response_lengths, _) = self.interface._transmit_receive.call_args[0]
self.assertEqual(outbound_frames, [(None, (FrameFormat.WORD_DATA, 0b000_00101_01)), (None, (FrameFormat.WORD_DATA, 0b000_10101_01))])
self.assertEqual(response_lengths, [1, 1])
def test_multiple_addressed_commands(self):
# Arrange
self.interface._transmit_receive.return_value=[[0b00000010_00], [0b11111111_00]]
# Act
response = self.interface.execute([(0b111000, ReadAddressCounterHi()), (0b111000, ReadAddressCounterLo())])
# Assert
self.assertEqual(response, [0x02, 0xff])
self.interface._transmit_receive.assert_called_once()
(outbound_frames, response_lengths, _) = self.interface._transmit_receive.call_args[0]
self.assertEqual(outbound_frames, [(0b111000, (FrameFormat.WORD_DATA, 0b000_00101_01)), (0b111000, (FrameFormat.WORD_DATA, 0b000_10101_01))])
self.assertEqual(response_lengths, [1, 1])
def test_timeout(self):
# Arrange
self.interface._transmit_receive.return_value=[[0b00000010_00]]
# Act
response = self.interface.execute(ReadAddressCounterHi(), timeout=0.1)
# Assert
self.interface._transmit_receive.assert_called_once()
(_, _, timeout) = self.interface._transmit_receive.call_args[0]
self.assertEqual(timeout, 0.1)
def test_single_command_interface_error(self):
# Arrange
self.interface._transmit_receive.side_effect=InterfaceError()
# Act and assert
with self.assertRaises(InterfaceError):
self.interface.execute(ReadAddressCounterHi())
def test_multiple_command_interface_error(self):
# Arrange
self.interface._transmit_receive.side_effect=InterfaceError()
# Act and assert
with self.assertRaises(InterfaceError):
self.interface.execute([ReadAddressCounterHi(), ReadAddressCounterLo()])
def test_single_command_receive_timeout(self):
# Arrange
self.interface._transmit_receive.return_value=[ReceiveTimeout()]
# Act and assert
with self.assertRaises(ReceiveTimeout):
self.interface.execute(ReadAddressCounterHi())
def test_multiple_command_receive_timeout(self):
# Arrange
self.interface._transmit_receive.return_value=[[0b00000010_00], ReceiveTimeout()]
# Act
response = self.interface.execute([ReadAddressCounterHi(), ReadAddressCounterLo()])
# Assert
self.assertEqual(len(response), 2)
self.assertEqual(response[0], 0x02)
self.assertIsInstance(response[1], ReceiveTimeout)
def test_single_command_protocol_error(self):
# Arrange
self.interface._transmit_receive.return_value=[[0b00000010_01]]
# Act and assert
with self.assertRaises(ProtocolError):
self.interface.execute(ReadAddressCounterHi())
def test_multiple_command_protocol_error(self):
# Arrange
self.interface._transmit_receive.return_value=[[0b00000010_00], [0b00000010_01]]
# Act
response = self.interface.execute([ReadAddressCounterHi(), ReadAddressCounterLo()])
# Assert
self.assertEqual(len(response), 2)
self.assertEqual(response[0], 0x02)
self.assertIsInstance(response[1], ProtocolError)
if __name__ == '__main__':
unittest.main()
| 34.227848 | 149 | 0.699704 | 543 | 5,408 | 6.666667 | 0.132597 | 0.122099 | 0.127624 | 0.170166 | 0.83895 | 0.830111 | 0.812431 | 0.800276 | 0.755801 | 0.741436 | 0 | 0.062327 | 0.198965 | 5,408 | 157 | 150 | 34.44586 | 0.773315 | 0.04142 | 0 | 0.461538 | 0 | 0 | 0.001552 | 0 | 0 | 0 | 0.006209 | 0 | 0.358974 | 1 | 0.153846 | false | 0 | 0.076923 | 0 | 0.24359 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
34fd5833d3311f53a602538a87dd6e3bc3d3ee26 | 7,822 | py | Python | tests/classes.py | burlog/py-callgraph | 85250f17d6b3a8a7c5fe4cf46599195e9a7921bc | [
"MIT"
] | null | null | null | tests/classes.py | burlog/py-callgraph | 85250f17d6b3a8a7c5fe4cf46599195e9a7921bc | [
"MIT"
] | null | null | null | tests/classes.py | burlog/py-callgraph | 85250f17d6b3a8a7c5fe4cf46599195e9a7921bc | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
#
# LICENCE MIT
#
# DESCRIPTION Test suite for classes.
#
# AUTHOR Michal Bukovsky <michal.bukovsky@trilogic.cz>
#
import pytest, re
from functools import wraps
from callgraph.builder import CallGraphBuilder
from tests.helpers import dfs_node_names
def test_classes_in_class_call():
def fun():
def fun1():
pass
class A:
a = fun1()
def f(self):
pass
builder = CallGraphBuilder()
root = builder.build(fun)
from callgraph.indent_printer import dump_tree
dump_tree(root, lambda x: x.children)
path = ["fun", "fun.fun1"]
assert list(dfs_node_names(root)) == path
def test_classes_in_class_call_seq():
def fun():
def fun1():
return ""
class A:
a = fun1()
a.strip()
a.find() # a is invisible outside of class
builder = CallGraphBuilder()
root = builder.build(fun)
from callgraph.indent_printer import dump_tree
dump_tree(root, lambda x: x.children)
path = ["fun", "fun.fun1", "fun.strip"]
assert list(dfs_node_names(root)) == path
def test_classes_base_class_method():
class A(object):
def method_a(self):
pass
class B(A):
def method_b(self):
pass
def fun():
b = B()
b.method_a()
b.method_b()
builder = CallGraphBuilder()
root = builder.build(fun)
from callgraph.indent_printer import dump_tree
dump_tree(root, lambda x: x.children)
path = ["fun", "fun.object", "fun.method_a", "fun.method_b"]
assert list(dfs_node_names(root)) == path
def test_classes_base_class_super():
class A(object):
def __init__(self):
self.a = "str"
class B(A):
def __init__(self):
super().__init__()
def method(self):
self.a.strip()
def fun():
b = B()
b.method()
builder = CallGraphBuilder()
root = builder.build(fun)
from callgraph.indent_printer import dump_tree
dump_tree(root, lambda x: x.children)
path = ["fun", "fun.B", "fun.B.__super__", "fun.B.A", "fun.method",
"fun.method.strip"]
assert list(dfs_node_names(root)) == path
def test_classes_method_super():
class A(object):
def __init__(self):
pass
def method(self):
"".rstrip()
class B(A):
def __init__(self):
pass
def method(self):
"".lstrip()
super().method()
def fun():
b = B()
b.method()
builder = CallGraphBuilder()
root = builder.build(fun)
from callgraph.indent_printer import dump_tree
dump_tree(root, lambda x: x.children)
path = ["fun", "fun.B", "fun.method", "fun.method.lstrip",
"fun.method.__super__", "fun.method.method",
"fun.method.method.rstrip"]
assert list(dfs_node_names(root)) == path
def test_classes_base_class_super_init_with_params():
class A(object):
def __init__(self, a):
a.strip()
class B(A):
def __init__(self, a):
super().__init__(a)
def fun():
b = B("")
builder = CallGraphBuilder()
root = builder.build(fun)
from callgraph.indent_printer import dump_tree
dump_tree(root, lambda x: x.children)
path = ["fun", "fun.B", "fun.B.__super__", "fun.B.A", "fun.B.A.strip"]
assert list(dfs_node_names(root)) == path
def test_classes_base_class_super_with_params():
class A(object):
def __init__(self):
"".strip()
class B(A):
def __init__(self):
super(B, self).__init__()
def fun():
b = B()
builder = CallGraphBuilder()
root = builder.build(fun)
from callgraph.indent_printer import dump_tree
dump_tree(root, lambda x: x.children)
path = ["fun", "fun.B", "fun.B.__super__", "fun.B.A", "fun.B.A.strip"]
assert list(dfs_node_names(root)) == path
def test_classes_class_method_super():
class A(object):
def __init__(self):
pass
@classmethod
def class_method(cls):
"".strip()
class B(A):
def __init__(self):
pass
@classmethod
def class_method(cls):
super().class_method()
def fun():
B.class_method()
builder = CallGraphBuilder()
root = builder.build(fun)
from callgraph.indent_printer import dump_tree
dump_tree(root, lambda x: x.children)
path = ["fun", "fun.class_method", "fun.class_method.__super__",
"fun.class_method.class_method",
"fun.class_method.class_method.strip"]
assert list(dfs_node_names(root)) == path
def test_classes_self_between_fun():
class A(object):
def __init__(self):
self.a = "str"
def method(self):
self.b = "str"
def fun1():
a = A()
a.method()
return a
def fun():
fun1().b.lstrip()
b = A()
b.a.rstrip()
b.b.index()
builder = CallGraphBuilder()
root = builder.build(fun)
from callgraph.indent_printer import dump_tree
dump_tree(root, lambda x: x.children)
path = ["fun", "fun.fun1", "fun.fun1.A", "fun.fun1.method", "fun.lstrip",
"fun.A", "fun.rstrip"]
assert list(dfs_node_names(root)) == path
def test_classes_self_between_vars():
class A(object):
def __init__(self):
self.a = "str"
def method(self):
self.b = "str"
def fun():
a = A()
a.method()
a.b.strip()
b = A()
b.b.index()
builder = CallGraphBuilder()
root = builder.build(fun)
from callgraph.indent_printer import dump_tree
dump_tree(root, lambda x: x.children)
path = ["fun", "fun.A", "fun.method", "fun.strip"]
assert list(dfs_node_names(root)) == path
def test_classes_self_two_ctor():
class A(object):
def __init__(self):
self.a = "str"
def fun():
a = A()
b = A()
builder = CallGraphBuilder()
root = builder.build(fun)
from callgraph.indent_printer import dump_tree
dump_tree(root, lambda x: x.children)
path = ["fun", "fun.A"]
assert list(dfs_node_names(root)) == path
def test_classes_self_call_only_for_second_instance():
class A(object):
def __init__(self, p):
p.strip()
def fun():
a = A(3)
b = A("")
builder = CallGraphBuilder()
root = builder.build(fun)
from callgraph.indent_printer import dump_tree
dump_tree(root, lambda x: x.children)
path = ["fun", "fun.A", "fun.A.strip"]
assert list(dfs_node_names(root)) == path
#@pytest.mark.skipif(True, reason="instance")
def test_classes_assigment_into_class_after_instatiation():
class A(object):
def __init__(self):
pass
def fun():
A.a = ""
a = A()
a.a.strip()
A.b = 3
a.b.to_bytes(1, "big")
builder = CallGraphBuilder()
root = builder.build(fun)
from callgraph.indent_printer import dump_tree
dump_tree(root, lambda x: x.children)
path = ["fun", "fun.A", "fun.strip", "fun.to_bytes"]
assert list(dfs_node_names(root)) == path
def test_classes_assigment_into_instance_after_instatiation():
class A(object):
def __init__(self):
pass
def fun():
A.a = ""
a = A()
a.a.strip()
a.b = 3
a.b.to_bytes(1, "big")
builder = CallGraphBuilder()
root = builder.build(fun)
from callgraph.indent_printer import dump_tree
dump_tree(root, lambda x: x.children)
path = ["fun", "fun.A", "fun.strip", "fun.to_bytes"]
assert list(dfs_node_names(root)) == path
| 24.141975 | 77 | 0.580542 | 1,011 | 7,822 | 4.238378 | 0.092977 | 0.052275 | 0.041074 | 0.111085 | 0.812135 | 0.784131 | 0.766861 | 0.736289 | 0.720187 | 0.670245 | 0 | 0.003049 | 0.287139 | 7,822 | 323 | 78 | 24.216718 | 0.765423 | 0.027231 | 0 | 0.747934 | 0 | 0 | 0.080558 | 0.015006 | 0 | 0 | 0 | 0 | 0.057851 | 1 | 0.235537 | false | 0.041322 | 0.07438 | 0.004132 | 0.409091 | 0.057851 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
551213bdcddd7d68df26c6fab9f3cc9fa05c9f44 | 1,054 | py | Python | image/admin.py | luisza/vcl_django | 43d04f7951cb8805502e51f6f6360c7ec63215cc | [
"Apache-2.0"
] | null | null | null | image/admin.py | luisza/vcl_django | 43d04f7951cb8805502e51f6f6360c7ec63215cc | [
"Apache-2.0"
] | null | null | null | image/admin.py | luisza/vcl_django | 43d04f7951cb8805502e51f6f6360c7ec63215cc | [
"Apache-2.0"
] | null | null | null | from django.contrib import admin
# Register your models here.
from image.models import (Ostype,
Imagetype,
Os,
Imagemeta,
Image,
Subimages,
Imagerevision,
Imagerevisioninfo,
Winkms,
Winproductkey,
Connectmethod,
Connectmethodmap,
Connectmethodport)
admin.site.register([Ostype,
Imagetype,
Os,
Imagemeta,
Image,
Subimages,
Imagerevision,
Imagerevisioninfo,
Winkms,
Winproductkey,
Connectmethod,
Connectmethodmap,
Connectmethodport]) | 32.9375 | 46 | 0.339658 | 42 | 1,054 | 8.52381 | 0.547619 | 0.083799 | 0.094972 | 0.145251 | 0.75419 | 0.75419 | 0.75419 | 0.75419 | 0.75419 | 0.75419 | 0 | 0 | 0.626186 | 1,054 | 32 | 47 | 32.9375 | 0.908629 | 0.024668 | 0 | 0.814815 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.074074 | 0 | 0.074074 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
9b2a039e4b36a01319c1d1fe130e83cfec2d88e8 | 22,234 | py | Python | mp/molec_models.py | crisbodnar/cwn | 31e40d839d9996ef1c1d46931702ca5a69dbe2ce | [
"MIT"
] | 74 | 2021-07-30T08:36:58.000Z | 2022-03-27T19:50:49.000Z | mp/molec_models.py | crisbodnar/cwn | 31e40d839d9996ef1c1d46931702ca5a69dbe2ce | [
"MIT"
] | 14 | 2022-01-02T11:22:00.000Z | 2022-01-06T19:32:34.000Z | mp/molec_models.py | crisbodnar/cwn | 31e40d839d9996ef1c1d46931702ca5a69dbe2ce | [
"MIT"
] | 13 | 2021-08-05T15:26:06.000Z | 2022-02-19T06:59:15.000Z | import torch
import torch.nn.functional as F
from torch.nn import Linear, Embedding, Sequential, BatchNorm1d as BN
from torch_geometric.nn import JumpingKnowledge, GINEConv
from mp.layers import InitReduceConv, EmbedVEWithReduce, OGBEmbedVEWithReduce, SparseCINConv
from ogb.graphproppred.mol_encoder import AtomEncoder, BondEncoder
from data.complex import ComplexBatch
from mp.nn import pool_complex, get_pooling_fn, get_nonlinearity, get_graph_norm
class EmbedSparseCIN(torch.nn.Module):
"""
A cellular version of GIN with some tailoring to nimbly work on molecules from the ZINC database.
This model is based on
https://github.com/rusty1s/pytorch_geometric/blob/master/benchmark/kernel/gin.py
"""
def __init__(self, atom_types, bond_types, out_size, num_layers, hidden,
dropout_rate: float = 0.5, max_dim: int = 2, jump_mode=None, nonlinearity='relu',
readout='sum', train_eps=False, final_hidden_multiplier: int = 2,
readout_dims=(0, 1, 2), final_readout='sum', apply_dropout_before='lin2',
init_reduce='sum', embed_edge=False, embed_dim=None, use_coboundaries=False,
graph_norm='bn'):
super(EmbedSparseCIN, self).__init__()
self.max_dim = max_dim
if readout_dims is not None:
self.readout_dims = tuple([dim for dim in readout_dims if dim <= max_dim])
else:
self.readout_dims = list(range(max_dim+1))
if embed_dim is None:
embed_dim = hidden
self.v_embed_init = Embedding(atom_types, embed_dim)
self.e_embed_init = None
if embed_edge:
self.e_embed_init = Embedding(bond_types, embed_dim)
self.reduce_init = InitReduceConv(reduce=init_reduce)
self.init_conv = EmbedVEWithReduce(self.v_embed_init, self.e_embed_init, self.reduce_init)
self.final_readout = final_readout
self.dropout_rate = dropout_rate
self.apply_dropout_before = apply_dropout_before
self.jump_mode = jump_mode
self.convs = torch.nn.ModuleList()
self.nonlinearity = nonlinearity
self.readout = readout
self.graph_norm = get_graph_norm(graph_norm)
act_module = get_nonlinearity(nonlinearity, return_module=True)
for i in range(num_layers):
layer_dim = embed_dim if i == 0 else hidden
self.convs.append(
SparseCINConv(up_msg_size=layer_dim, down_msg_size=layer_dim,
boundary_msg_size=layer_dim, passed_msg_boundaries_nn=None,
passed_msg_up_nn=None, passed_update_up_nn=None,
passed_update_boundaries_nn=None, train_eps=train_eps, max_dim=self.max_dim,
hidden=hidden, act_module=act_module, layer_dim=layer_dim,
graph_norm=self.graph_norm, use_coboundaries=use_coboundaries))
self.jump = JumpingKnowledge(jump_mode) if jump_mode is not None else None
self.lin1s = torch.nn.ModuleList()
for _ in range(max_dim + 1):
if jump_mode == 'cat':
# These layers don't use a bias. Then, in case a level is not present the output
# is just zero and it is not given by the biases.
self.lin1s.append(Linear(num_layers * hidden, final_hidden_multiplier * hidden,
bias=False))
else:
self.lin1s.append(Linear(hidden, final_hidden_multiplier * hidden))
self.lin2 = Linear(final_hidden_multiplier * hidden, out_size)
def reset_parameters(self):
for conv in self.convs:
conv.reset_parameters()
if self.jump_mode is not None:
self.jump.reset_parameters()
self.init_conv.reset_parameters()
self.lin1s.reset_parameters()
self.lin2.reset_parameters()
def jump_complex(self, jump_xs):
# Perform JumpingKnowledge at each level of the complex
xs = []
for jumpx in jump_xs:
xs += [self.jump(jumpx)]
return xs
def forward(self, data: ComplexBatch, include_partial=False):
act = get_nonlinearity(self.nonlinearity, return_module=False)
xs, jump_xs = None, None
res = {}
# Check input node/edge features are scalars.
assert data.cochains[0].x.size(-1) == 1
if 1 in data.cochains and data.cochains[1].x is not None:
assert data.cochains[1].x.size(-1) == 1
# Embed and populate higher-levels
params = data.get_all_cochain_params(max_dim=self.max_dim, include_down_features=False)
xs = list(self.init_conv(*params))
# Apply dropout on the input features like all models do on ZINC.
for i, x in enumerate(xs):
xs[i] = F.dropout(xs[i], p=self.dropout_rate, training=self.training)
data.set_xs(xs)
for c, conv in enumerate(self.convs):
params = data.get_all_cochain_params(max_dim=self.max_dim, include_down_features=False)
start_to_process = 0
xs = conv(*params, start_to_process=start_to_process)
data.set_xs(xs)
if include_partial:
for k in range(len(xs)):
res[f"layer{c}_{k}"] = xs[k]
if self.jump_mode is not None:
if jump_xs is None:
jump_xs = [[] for _ in xs]
for i, x in enumerate(xs):
jump_xs[i] += [x]
if self.jump_mode is not None:
xs = self.jump_complex(jump_xs)
xs = pool_complex(xs, data, self.max_dim, self.readout)
# Select the dimensions we want at the end.
xs = [xs[i] for i in self.readout_dims]
if include_partial:
for k in range(len(xs)):
res[f"pool_{k}"] = xs[k]
new_xs = []
for i, x in enumerate(xs):
if self.apply_dropout_before == 'lin1':
x = F.dropout(x, p=self.dropout_rate, training=self.training)
new_xs.append(act(self.lin1s[self.readout_dims[i]](x)))
x = torch.stack(new_xs, dim=0)
if self.apply_dropout_before == 'final_readout':
x = F.dropout(x, p=self.dropout_rate, training=self.training)
if self.final_readout == 'mean':
x = x.mean(0)
elif self.final_readout == 'sum':
x = x.sum(0)
else:
raise NotImplementedError
if self.apply_dropout_before not in ['lin1', 'final_readout']:
x = F.dropout(x, p=self.dropout_rate, training=self.training)
x = self.lin2(x)
if include_partial:
res['out'] = x
return x, res
return x
def __repr__(self):
return self.__class__.__name__
class OGBEmbedSparseCIN(torch.nn.Module):
"""
A cellular version of GIN with some tailoring to nimbly work on molecules from the ogbg-mol* dataset.
It uses OGB atom and bond encoders.
This model is based on
https://github.com/rusty1s/pytorch_geometric/blob/master/benchmark/kernel/gin.py
"""
def __init__(self, out_size, num_layers, hidden, dropout_rate: float = 0.5,
indropout_rate: float = 0.0, max_dim: int = 2, jump_mode=None,
nonlinearity='relu', readout='sum', train_eps=False, final_hidden_multiplier: int = 2,
readout_dims=(0, 1, 2), final_readout='sum', apply_dropout_before='lin2',
init_reduce='sum', embed_edge=False, embed_dim=None, use_coboundaries=False,
graph_norm='bn'):
super(OGBEmbedSparseCIN, self).__init__()
self.max_dim = max_dim
if readout_dims is not None:
self.readout_dims = tuple([dim for dim in readout_dims if dim <= max_dim])
else:
self.readout_dims = list(range(max_dim+1))
if embed_dim is None:
embed_dim = hidden
self.v_embed_init = AtomEncoder(embed_dim)
self.e_embed_init = None
if embed_edge:
self.e_embed_init = BondEncoder(embed_dim)
self.reduce_init = InitReduceConv(reduce=init_reduce)
self.init_conv = OGBEmbedVEWithReduce(self.v_embed_init, self.e_embed_init, self.reduce_init)
self.final_readout = final_readout
self.dropout_rate = dropout_rate
self.in_dropout_rate = indropout_rate
self.apply_dropout_before = apply_dropout_before
self.jump_mode = jump_mode
self.convs = torch.nn.ModuleList()
self.nonlinearity = nonlinearity
self.readout = readout
act_module = get_nonlinearity(nonlinearity, return_module=True)
self.graph_norm = get_graph_norm(graph_norm)
for i in range(num_layers):
layer_dim = embed_dim if i == 0 else hidden
self.convs.append(
SparseCINConv(up_msg_size=layer_dim, down_msg_size=layer_dim,
boundary_msg_size=layer_dim, passed_msg_boundaries_nn=None,
passed_msg_up_nn=None, passed_update_up_nn=None,
passed_update_boundaries_nn=None, train_eps=train_eps, max_dim=self.max_dim,
hidden=hidden, act_module=act_module, layer_dim=layer_dim,
graph_norm=self.graph_norm, use_coboundaries=use_coboundaries))
self.jump = JumpingKnowledge(jump_mode) if jump_mode is not None else None
self.lin1s = torch.nn.ModuleList()
for _ in range(max_dim + 1):
if jump_mode == 'cat':
# These layers don't use a bias. Then, in case a level is not present the output
# is just zero and it is not given by the biases.
self.lin1s.append(Linear(num_layers * hidden, final_hidden_multiplier * hidden,
bias=False))
else:
self.lin1s.append(Linear(hidden, final_hidden_multiplier * hidden))
self.lin2 = Linear(final_hidden_multiplier * hidden, out_size)
def reset_parameters(self):
for conv in self.convs:
conv.reset_parameters()
if self.jump_mode is not None:
self.jump.reset_parameters()
self.init_conv.reset_parameters()
self.lin1s.reset_parameters()
self.lin2.reset_parameters()
def jump_complex(self, jump_xs):
# Perform JumpingKnowledge at each level of the complex
xs = []
for jumpx in jump_xs:
xs += [self.jump(jumpx)]
return xs
def forward(self, data: ComplexBatch, include_partial=False):
act = get_nonlinearity(self.nonlinearity, return_module=False)
xs, jump_xs = None, None
res = {}
# Embed and populate higher-levels
params = data.get_all_cochain_params(max_dim=self.max_dim, include_down_features=False)
xs = list(self.init_conv(*params))
# Apply dropout on the input features
for i, x in enumerate(xs):
xs[i] = F.dropout(xs[i], p=self.in_dropout_rate, training=self.training)
data.set_xs(xs)
for c, conv in enumerate(self.convs):
params = data.get_all_cochain_params(max_dim=self.max_dim, include_down_features=False)
start_to_process = 0
xs = conv(*params, start_to_process=start_to_process)
# Apply dropout on the output of the conv layer
for i, x in enumerate(xs):
xs[i] = F.dropout(xs[i], p=self.dropout_rate, training=self.training)
data.set_xs(xs)
if include_partial:
for k in range(len(xs)):
res[f"layer{c}_{k}"] = xs[k]
if self.jump_mode is not None:
if jump_xs is None:
jump_xs = [[] for _ in xs]
for i, x in enumerate(xs):
jump_xs[i] += [x]
if self.jump_mode is not None:
xs = self.jump_complex(jump_xs)
xs = pool_complex(xs, data, self.max_dim, self.readout)
# Select the dimensions we want at the end.
xs = [xs[i] for i in self.readout_dims]
if include_partial:
for k in range(len(xs)):
res[f"pool_{k}"] = xs[k]
new_xs = []
for i, x in enumerate(xs):
if self.apply_dropout_before == 'lin1':
x = F.dropout(x, p=self.dropout_rate, training=self.training)
new_xs.append(act(self.lin1s[self.readout_dims[i]](x)))
x = torch.stack(new_xs, dim=0)
if self.apply_dropout_before == 'final_readout':
x = F.dropout(x, p=self.dropout_rate, training=self.training)
if self.final_readout == 'mean':
x = x.mean(0)
elif self.final_readout == 'sum':
x = x.sum(0)
else:
raise NotImplementedError
if self.apply_dropout_before not in ['lin1', 'final_readout']:
x = F.dropout(x, p=self.dropout_rate, training=self.training)
x = self.lin2(x)
if include_partial:
res['out'] = x
return x, res
return x
def __repr__(self):
return self.__class__.__name__
class EmbedSparseCINNoRings(torch.nn.Module):
"""
CIN model on cell complexes up to dimension 1 (edges). It does not make use of rings.
This model is based on
https://github.com/rusty1s/pytorch_geometric/blob/master/benchmark/kernel/gin.py
"""
def __init__(self, atom_types, bond_types, out_size, num_layers, hidden,
dropout_rate: float = 0.5, nonlinearity='relu',
readout='sum', train_eps=False, final_hidden_multiplier: int = 2,
final_readout='sum', apply_dropout_before='lin2',
init_reduce='sum', embed_edge=False, embed_dim=None, use_coboundaries=False,
graph_norm='bn'):
super(EmbedSparseCINNoRings, self).__init__()
self.max_dim = 1
self.readout_dims = [0, 1]
if embed_dim is None:
embed_dim = hidden
self.v_embed_init = Embedding(atom_types, embed_dim)
self.e_embed_init = None
if embed_edge:
self.e_embed_init = Embedding(bond_types, embed_dim)
self.reduce_init = InitReduceConv(reduce=init_reduce)
self.init_conv = EmbedVEWithReduce(self.v_embed_init, self.e_embed_init, self.reduce_init)
self.final_readout = final_readout
self.dropout_rate = dropout_rate
self.apply_dropout_before = apply_dropout_before
self.convs = torch.nn.ModuleList()
self.nonlinearity = nonlinearity
self.readout = readout
self.graph_norm = get_graph_norm(graph_norm)
act_module = get_nonlinearity(nonlinearity, return_module=True)
for i in range(num_layers):
layer_dim = embed_dim if i == 0 else hidden
self.convs.append(
SparseCINConv(up_msg_size=layer_dim, down_msg_size=layer_dim,
boundary_msg_size=layer_dim, passed_msg_boundaries_nn=None,
passed_msg_up_nn=None, passed_update_up_nn=None,
passed_update_boundaries_nn=None, train_eps=train_eps, max_dim=self.max_dim,
hidden=hidden, act_module=act_module, layer_dim=layer_dim,
graph_norm=self.graph_norm, use_coboundaries=use_coboundaries))
self.lin1s = torch.nn.ModuleList()
for _ in range(self.max_dim + 1):
self.lin1s.append(Linear(hidden, final_hidden_multiplier * hidden))
self.lin2 = Linear(final_hidden_multiplier * hidden, out_size)
def reset_parameters(self):
for conv in self.convs:
conv.reset_parameters()
self.init_conv.reset_parameters()
self.lin1s.reset_parameters()
self.lin2.reset_parameters()
def forward(self, data: ComplexBatch):
act = get_nonlinearity(self.nonlinearity, return_module=False)
# Check input node/edge features are scalars.
assert data.cochains[0].x.size(-1) == 1
if 1 in data.cochains and data.cochains[1].x is not None:
assert data.cochains[1].x.size(-1) == 1
# Extract node and edge params
params = data.get_all_cochain_params(max_dim=self.max_dim, include_down_features=False)
# Make the upper index of the edges None to ignore the rings. Even though max_dim = 1
# our current code does extract upper adjacencies for edges if rings are present.
if len(params) > 1:
params[1].up_index = None
# Embed the node and edge features
xs = list(self.init_conv(*params))
# Apply dropout on the input features
for i, x in enumerate(xs):
xs[i] = F.dropout(xs[i], p=self.dropout_rate, training=self.training)
data.set_xs(xs)
for c, conv in enumerate(self.convs):
params = data.get_all_cochain_params(max_dim=self.max_dim, include_down_features=False)
if len(params) > 1:
params[1].up_index = None
xs = conv(*params)
data.set_xs(xs)
xs = pool_complex(xs, data, self.max_dim, self.readout)
# Select the dimensions we want at the end.
xs = [xs[i] for i in self.readout_dims]
new_xs = []
for i, x in enumerate(xs):
if self.apply_dropout_before == 'lin1':
x = F.dropout(x, p=self.dropout_rate, training=self.training)
new_xs.append(act(self.lin1s[self.readout_dims[i]](x)))
x = torch.stack(new_xs, dim=0)
if self.apply_dropout_before == 'final_readout':
x = F.dropout(x, p=self.dropout_rate, training=self.training)
if self.final_readout == 'mean':
x = x.mean(0)
elif self.final_readout == 'sum':
x = x.sum(0)
else:
raise NotImplementedError
if self.apply_dropout_before not in ['lin1', 'final_readout']:
x = F.dropout(x, p=self.dropout_rate, training=self.training)
x = self.lin2(x)
return x
def __repr__(self):
return self.__class__.__name__
class EmbedGIN(torch.nn.Module):
"""
GIN with cell complex inputs to test our pipeline.
This model is based on
https://github.com/rusty1s/pytorch_geometric/blob/master/benchmark/kernel/gin.py
"""
def __init__(self, atom_types, bond_types, out_size, num_layers, hidden,
dropout_rate: float = 0.5, nonlinearity='relu',
readout='sum', train_eps=False, apply_dropout_before='lin2',
init_reduce='sum', embed_edge=False, embed_dim=None):
super(EmbedGIN, self).__init__()
self.max_dim = 1
if embed_dim is None:
embed_dim = hidden
self.v_embed_init = Embedding(atom_types, embed_dim)
self.e_embed_init = None
if embed_edge:
self.e_embed_init = Embedding(bond_types, embed_dim)
self.reduce_init = InitReduceConv(reduce=init_reduce)
self.init_conv = EmbedVEWithReduce(self.v_embed_init, self.e_embed_init, self.reduce_init)
self.dropout_rate = dropout_rate
self.apply_dropout_before = apply_dropout_before
self.convs = torch.nn.ModuleList()
self.nonlinearity = nonlinearity
self.pooling_fn = get_pooling_fn(readout)
act_module = get_nonlinearity(nonlinearity, return_module=True)
for i in range(num_layers):
layer_dim = embed_dim if i == 0 else hidden
self.convs.append(
GINEConv(
# Here we instantiate and pass the MLP performing the `update` function.
Sequential(
Linear(layer_dim, hidden),
BN(hidden),
act_module(),
Linear(hidden, hidden),
BN(hidden),
act_module(),
), train_eps=train_eps))
self.lin1 = Linear(hidden, hidden)
self.lin2 = Linear(hidden, out_size)
def reset_parameters(self):
for conv in self.convs:
conv.reset_parameters()
self.init_conv.reset_parameters()
self.lin1.reset_parameters()
self.lin2.reset_parameters()
def forward(self, data: ComplexBatch):
act = get_nonlinearity(self.nonlinearity, return_module=False)
# Check input node/edge features are scalars.
assert data.cochains[0].x.size(-1) == 1
if 1 in data.cochains and data.cochains[1].x is not None:
assert data.cochains[1].x.size(-1) == 1
# Extract node and edge params
params = data.get_all_cochain_params(max_dim=self.max_dim, include_down_features=False)
# Embed the node and edge features
xs = list(self.init_conv(*params))
# Apply dropout on the input node features
xs[0] = F.dropout(xs[0], p=self.dropout_rate, training=self.training)
data.set_xs(xs)
# We fetch input parameters only at dimension 0 (nodes)
params = data.get_all_cochain_params(max_dim=0, include_down_features=False)[0]
x = params.x
edge_index = params.up_index
edge_attr = params.kwargs['up_attr']
# For the edge case when no edges are present.
if edge_index is None:
edge_index = torch.LongTensor([[], []])
edge_attr = torch.FloatTensor([[0]*x.size(-1)])
for c, conv in enumerate(self.convs):
x = conv(x=x, edge_index=edge_index, edge_attr=edge_attr)
# Pool only over nodes
batch_size = data.cochains[0].batch.max() + 1
x = self.pooling_fn(x, data.nodes.batch, size=batch_size)
if self.apply_dropout_before == 'lin1':
x = F.dropout(x, p=self.dropout_rate, training=self.training)
x = act(self.lin1(x))
if self.apply_dropout_before in ['final_readout', 'lin2']:
x = F.dropout(x, p=self.dropout_rate, training=self.training)
x = self.lin2(x)
return x
def __repr__(self):
return self.__class__.__name__
| 40.946593 | 106 | 0.616983 | 2,962 | 22,234 | 4.39129 | 0.085415 | 0.018452 | 0.031829 | 0.028292 | 0.876605 | 0.87007 | 0.867687 | 0.865534 | 0.857769 | 0.84862 | 0 | 0.008237 | 0.290186 | 22,234 | 542 | 107 | 41.02214 | 0.81593 | 0.098093 | 0 | 0.865823 | 0 | 0 | 0.01375 | 0 | 0 | 0 | 0 | 0 | 0.01519 | 1 | 0.04557 | false | 0.022785 | 0.020253 | 0.010127 | 0.106329 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
9b7f55d596251957c48767b56c8ffa17ef21a6f1 | 167 | py | Python | library/__opera__/pyjamas/Location.py | certik/pyjamas | 5bb72e63e50f09743ac986f4c9690ba50c499ba9 | [
"ECL-2.0",
"Apache-2.0"
] | 1 | 2018-09-19T09:14:16.000Z | 2018-09-19T09:14:16.000Z | library/__opera__/pyjamas/Location.py | andreyvit/pyjamas | 1154abe3340a84dba7530b8174aaddecfc1a0944 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | library/__opera__/pyjamas/Location.py | andreyvit/pyjamas | 1154abe3340a84dba7530b8174aaddecfc1a0944 | [
"ECL-2.0",
"Apache-2.0"
] | 1 | 2019-08-13T20:32:25.000Z | 2019-08-13T20:32:25.000Z |
class Location:
def getHash(self):
return unescape(self.location.hash)
def getSearch(self):
return unescape(self.location.search)
| 20.875 | 46 | 0.628743 | 18 | 167 | 5.833333 | 0.555556 | 0.190476 | 0.342857 | 0.419048 | 0.571429 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.281437 | 167 | 7 | 47 | 23.857143 | 0.875 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.4 | false | 0 | 0 | 0.4 | 1 | 0 | 1 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 7 |
9b90b6ec67efebe58cb685b76dbac878a04cca62 | 3,267 | py | Python | apps/incidents/tests/test_views_unsilent.py | seanlefevre/openduty | 34ab21117f114ccc808d8b0aa2cb801c819bdb86 | [
"MIT"
] | 145 | 2016-04-11T06:53:13.000Z | 2022-03-22T05:15:49.000Z | apps/incidents/tests/test_views_unsilent.py | seanlefevre/openduty | 34ab21117f114ccc808d8b0aa2cb801c819bdb86 | [
"MIT"
] | 78 | 2017-09-24T10:59:49.000Z | 2022-02-12T07:36:27.000Z | apps/incidents/tests/test_views_unsilent.py | seanlefevre/openduty | 34ab21117f114ccc808d8b0aa2cb801c819bdb86 | [
"MIT"
] | 30 | 2016-04-11T06:53:16.000Z | 2021-12-29T11:39:26.000Z | import pytest
from unittest.mock import patch
from rest_framework import status
from django.urls import reverse
from apps.incidents.models import Incident, IncidentSilenced
from django_dynamic_fixture import G
from apps.commons.tests.fixtures import authenticated_client, base_user, other_user
@pytest.mark.django_db
@patch('django.contrib.messages.error')
def test_post_silence_incident_incident_not_found(mocked_messages_error, authenticated_client, base_user):
c = authenticated_client
incident = G(Incident, event_type=Incident.ACKNOWLEDGE)
data = {
'url': str(reverse('IncidentDetailView', args=[incident.id])),
"user_id": base_user.id,
"silence_for": 4,
}
url = reverse('incidents_silence', kwargs={'incident_id': 0})
response = c.post(url, data, format='json')
assert response.status_code == status.HTTP_302_FOUND
assert incident.eventlog_set.count() == 0
assert mocked_messages_error.called
@pytest.mark.skip
@pytest.mark.django_db
def test_post_silence_incident(authenticated_client, base_user):
c = authenticated_client
incident = G(Incident, event_type=Incident.ACKNOWLEDGE)
data = {
'url': str(reverse('IncidentDetailView', args=[incident.id])),
"user_id": base_user.id,
"silence_for": 4,
}
url = reverse('incidents_silence', kwargs={'incident_id': incident.id})
response = c.post(url, data, format='json')
assert response.status_code == status.HTTP_302_FOUND
assert incident.eventlog_set.count() == 1
@pytest.mark.django_db
@patch('django.contrib.messages.error')
def test_post_unsilence_incident_incident_not_found(mocked_messages_error, authenticated_client, base_user):
c = authenticated_client
incident = G(Incident, event_type=Incident.ACKNOWLEDGE)
data = {
'url': str(reverse('IncidentDetailView', args=[incident.id])),
}
url = reverse('incidents_unsilence', kwargs={'incident_id': 0})
response = c.post(url, data, format='json')
assert response.status_code == status.HTTP_302_FOUND
assert incident.eventlog_set.count() == 0
assert mocked_messages_error.called
@pytest.mark.django_db
def test_post_unsilence_incident(authenticated_client, base_user):
c = authenticated_client
incident = G(Incident, event_type=Incident.ACKNOWLEDGE)
data = {
'url': str(reverse('IncidentDetailView', args=[incident.id])),
}
url = reverse('incidents_unsilence', kwargs={'incident_id': incident.id})
response = c.post(url, data, format='json')
assert response.status_code == status.HTTP_302_FOUND
assert incident.eventlog_set.count() == 1
@pytest.mark.django_db
def test_post_silence_incident_with_silenced_incident(authenticated_client, base_user):
c = authenticated_client
incident = G(Incident, event_type=Incident.ACKNOWLEDGE)
G(IncidentSilenced, incident=incident)
data = {
'url': str(reverse('IncidentDetailView', args=[incident.id])),
"user_id": base_user.id,
"silence_for": 4,
}
url = reverse('incidents_silence', kwargs={'incident_id': incident.id})
response = c.post(url, data, format='json')
assert response.status_code == status.HTTP_302_FOUND
assert incident.eventlog_set.count() == 0
| 38.435294 | 108 | 0.729415 | 411 | 3,267 | 5.549878 | 0.170316 | 0.056993 | 0.0605 | 0.071021 | 0.869356 | 0.858395 | 0.858395 | 0.850066 | 0.850066 | 0.822885 | 0 | 0.009042 | 0.153658 | 3,267 | 84 | 109 | 38.892857 | 0.815913 | 0 | 0 | 0.702703 | 0 | 0 | 0.116621 | 0.017753 | 0 | 0 | 0 | 0 | 0.162162 | 1 | 0.067568 | false | 0 | 0.094595 | 0 | 0.162162 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
9b914c4deb33f23154f3f02a622623997f2cde2f | 67 | py | Python | modules/unit_tests/s3db/__init__.py | whanderley/eden | 08ced3be3d52352c54cbd412ed86128fbb68b1d2 | [
"MIT"
] | 205 | 2015-01-20T08:26:09.000Z | 2022-03-27T19:59:33.000Z | modules/unit_tests/s3db/__init__.py | whanderley/eden | 08ced3be3d52352c54cbd412ed86128fbb68b1d2 | [
"MIT"
] | 249 | 2015-02-10T09:56:35.000Z | 2022-03-23T19:54:36.000Z | modules/unit_tests/s3db/__init__.py | whanderley/eden | 08ced3be3d52352c54cbd412ed86128fbb68b1d2 | [
"MIT"
] | 231 | 2015-02-10T09:33:17.000Z | 2022-02-18T19:56:05.000Z | from unit_tests.s3db.pr import *
from unit_tests.s3db.org import *
| 22.333333 | 33 | 0.791045 | 12 | 67 | 4.25 | 0.583333 | 0.313725 | 0.509804 | 0.666667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.033898 | 0.119403 | 67 | 2 | 34 | 33.5 | 0.830508 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 8 |
32cf0c450941649b945c99b378d68851f3928514 | 20,171 | py | Python | tb_rest_client/api/api_ce/widgets_bundle_controller_api.py | jernkuan/thingsboard-python-rest-client | 3fb25272507494e6d494b27ca2380d3c543562e5 | [
"Apache-2.0"
] | null | null | null | tb_rest_client/api/api_ce/widgets_bundle_controller_api.py | jernkuan/thingsboard-python-rest-client | 3fb25272507494e6d494b27ca2380d3c543562e5 | [
"Apache-2.0"
] | null | null | null | tb_rest_client/api/api_ce/widgets_bundle_controller_api.py | jernkuan/thingsboard-python-rest-client | 3fb25272507494e6d494b27ca2380d3c543562e5 | [
"Apache-2.0"
] | 1 | 2021-11-26T11:24:56.000Z | 2021-11-26T11:24:56.000Z | # coding: utf-8
"""
ThingsBoard REST API
For instructions how to authorize requests please visit <a href='http://thingsboard.io/docs/reference/rest-api/'>REST API documentation page</a>. # noqa: E501
OpenAPI spec version: 2.0
Contact: info@thingsboard.io
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from __future__ import absolute_import
import re # noqa: F401
# python 2 and python 3 compatibility library
import six
from tb_rest_client.api_client import ApiClient
class WidgetsBundleControllerApi(object):
"""NOTE: This class is auto generated by the swagger code generator program.
Do not edit the class manually.
Ref: https://github.com/swagger-api/swagger-codegen
"""
def __init__(self, api_client=None):
if api_client is None:
api_client = ApiClient()
self.api_client = api_client
def delete_widgets_bundle_using_delete(self, widgets_bundle_id, **kwargs): # noqa: E501
"""deleteWidgetsBundle # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.delete_widgets_bundle_using_delete(widgets_bundle_id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str widgets_bundle_id: widgetsBundleId (required)
:return: None
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.delete_widgets_bundle_using_delete_with_http_info(widgets_bundle_id, **kwargs) # noqa: E501
else:
(data) = self.delete_widgets_bundle_using_delete_with_http_info(widgets_bundle_id, **kwargs) # noqa: E501
return data
def delete_widgets_bundle_using_delete_with_http_info(self, widgets_bundle_id, **kwargs): # noqa: E501
"""deleteWidgetsBundle # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.delete_widgets_bundle_using_delete_with_http_info(widgets_bundle_id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str widgets_bundle_id: widgetsBundleId (required)
:return: None
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['widgets_bundle_id'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method delete_widgets_bundle_using_delete" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'widgets_bundle_id' is set
if ('widgets_bundle_id' not in params or
params['widgets_bundle_id'] is None):
raise ValueError("Missing the required parameter `widgets_bundle_id` when calling `delete_widgets_bundle_using_delete`") # noqa: E501
collection_formats = {}
path_params = {}
if 'widgets_bundle_id' in params:
path_params['widgetsBundleId'] = params['widgets_bundle_id'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# Authentication setting
auth_settings = ['X-Authorization'] # noqa: E501
return self.api_client.call_api(
'/api/widgetsBundle/{widgetsBundleId}', 'DELETE',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type=None, # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def get_widgets_bundle_by_id_using_get(self, widgets_bundle_id, **kwargs): # noqa: E501
"""getWidgetsBundleById # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_widgets_bundle_by_id_using_get(widgets_bundle_id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str widgets_bundle_id: widgetsBundleId (required)
:return: WidgetsBundle
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.get_widgets_bundle_by_id_using_get_with_http_info(widgets_bundle_id, **kwargs) # noqa: E501
else:
(data) = self.get_widgets_bundle_by_id_using_get_with_http_info(widgets_bundle_id, **kwargs) # noqa: E501
return data
def get_widgets_bundle_by_id_using_get_with_http_info(self, widgets_bundle_id, **kwargs): # noqa: E501
"""getWidgetsBundleById # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_widgets_bundle_by_id_using_get_with_http_info(widgets_bundle_id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str widgets_bundle_id: widgetsBundleId (required)
:return: WidgetsBundle
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['widgets_bundle_id'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method get_widgets_bundle_by_id_using_get" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'widgets_bundle_id' is set
if ('widgets_bundle_id' not in params or
params['widgets_bundle_id'] is None):
raise ValueError("Missing the required parameter `widgets_bundle_id` when calling `get_widgets_bundle_by_id_using_get`") # noqa: E501
collection_formats = {}
path_params = {}
if 'widgets_bundle_id' in params:
path_params['widgetsBundleId'] = params['widgets_bundle_id'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['*/*']) # noqa: E501
# Authentication setting
auth_settings = ['X-Authorization'] # noqa: E501
return self.api_client.call_api(
'/api/widgetsBundle/{widgetsBundleId}', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='WidgetsBundle', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def get_widgets_bundles_using_get(self, page_size, page, **kwargs): # noqa: E501
"""getWidgetsBundles # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_widgets_bundles_using_get(page_size, page, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str page_size: pageSize (required)
:param str page: page (required)
:param str text_search: textSearch
:param str sort_property: sortProperty
:param str sort_order: sortOrder
:return: PageDataWidgetsBundle
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.get_widgets_bundles_using_get_with_http_info(page_size, page, **kwargs) # noqa: E501
else:
(data) = self.get_widgets_bundles_using_get_with_http_info(page_size, page, **kwargs) # noqa: E501
return data
def get_widgets_bundles_using_get_with_http_info(self, page_size, page, **kwargs): # noqa: E501
"""getWidgetsBundles # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_widgets_bundles_using_get_with_http_info(page_size, page, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str page_size: pageSize (required)
:param str page: page (required)
:param str text_search: textSearch
:param str sort_property: sortProperty
:param str sort_order: sortOrder
:return: PageDataWidgetsBundle
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['page_size', 'page', 'text_search', 'sort_property', 'sort_order'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method get_widgets_bundles_using_get" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'page_size' is set
if ('page_size' not in params or
params['page_size'] is None):
raise ValueError("Missing the required parameter `page_size` when calling `get_widgets_bundles_using_get`") # noqa: E501
# verify the required parameter 'page' is set
if ('page' not in params or
params['page'] is None):
raise ValueError("Missing the required parameter `page` when calling `get_widgets_bundles_using_get`") # noqa: E501
collection_formats = {}
path_params = {}
query_params = []
if 'text_search' in params:
query_params.append(('textSearch', params['text_search'])) # noqa: E501
if 'sort_property' in params:
query_params.append(('sortProperty', params['sort_property'])) # noqa: E501
if 'sort_order' in params:
query_params.append(('sortOrder', params['sort_order'])) # noqa: E501
if 'page_size' in params:
query_params.append(('pageSize', params['page_size'])) # noqa: E501
if 'page' in params:
query_params.append(('page', params['page'])) # noqa: E501
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['*/*']) # noqa: E501
# Authentication setting
auth_settings = ['X-Authorization'] # noqa: E501
return self.api_client.call_api(
'/api/widgetsBundles{?textSearch,sortProperty,sortOrder,pageSize,page}', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='PageDataWidgetsBundle', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def get_widgets_bundles_using_get1(self, **kwargs): # noqa: E501
"""getWidgetsBundles # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_widgets_bundles_using_get1(async_req=True)
>>> result = thread.get()
:param async_req bool
:return: list[WidgetsBundle]
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.get_widgets_bundles_using_get1_with_http_info(**kwargs) # noqa: E501
else:
(data) = self.get_widgets_bundles_using_get1_with_http_info(**kwargs) # noqa: E501
return data
def get_widgets_bundles_using_get1_with_http_info(self, **kwargs): # noqa: E501
"""getWidgetsBundles # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_widgets_bundles_using_get1_with_http_info(async_req=True)
>>> result = thread.get()
:param async_req bool
:return: list[WidgetsBundle]
If the method is called asynchronously,
returns the request thread.
"""
all_params = [] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method get_widgets_bundles_using_get1" % key
)
params[key] = val
del params['kwargs']
collection_formats = {}
path_params = {}
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['*/*']) # noqa: E501
# Authentication setting
auth_settings = ['X-Authorization'] # noqa: E501
return self.api_client.call_api(
'/api/widgetsBundles', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='list[WidgetsBundle]', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def save_widgets_bundle_using_post(self, body, **kwargs): # noqa: E501
"""saveWidgetsBundle # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.save_widgets_bundle_using_post(body, async_req=True)
>>> result = thread.get()
:param async_req bool
:param WidgetsBundle body: widgetsBundle (required)
:return: WidgetsBundle
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.save_widgets_bundle_using_post_with_http_info(body, **kwargs) # noqa: E501
else:
(data) = self.save_widgets_bundle_using_post_with_http_info(body, **kwargs) # noqa: E501
return data
def save_widgets_bundle_using_post_with_http_info(self, body, **kwargs): # noqa: E501
"""saveWidgetsBundle # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.save_widgets_bundle_using_post_with_http_info(body, async_req=True)
>>> result = thread.get()
:param async_req bool
:param WidgetsBundle body: widgetsBundle (required)
:return: WidgetsBundle
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['body'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method save_widgets_bundle_using_post" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'body' is set
if ('body' not in params or
params['body'] is None):
raise ValueError("Missing the required parameter `body` when calling `save_widgets_bundle_using_post`") # noqa: E501
collection_formats = {}
path_params = {}
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
if 'body' in params:
body_params = params['body']
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['*/*']) # noqa: E501
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['X-Authorization'] # noqa: E501
return self.api_client.call_api(
'/api/widgetsBundle', 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='WidgetsBundle', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
| 39.473581 | 163 | 0.62451 | 2,313 | 20,171 | 5.138348 | 0.078253 | 0.04308 | 0.037863 | 0.03029 | 0.910728 | 0.883214 | 0.872024 | 0.860581 | 0.841144 | 0.82398 | 0 | 0.014396 | 0.287145 | 20,171 | 510 | 164 | 39.55098 | 0.812157 | 0.311735 | 0 | 0.727273 | 0 | 0 | 0.197216 | 0.06338 | 0 | 0 | 0 | 0 | 0 | 1 | 0.04 | false | 0 | 0.014545 | 0 | 0.112727 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
32e91ed2b5726f49f509b162e4ec4cb9dc7e56fb | 18,238 | py | Python | lib/python2.7/site-packages/samba/provision/descriptor.py | abankalarm/pth-toolkit | bbd6bb0c7ba9c43c557c87e22fb2a72b20560f9f | [
"BSD-2-Clause"
] | 480 | 2015-02-03T11:59:43.000Z | 2022-03-21T13:23:29.000Z | lib/python2.7/site-packages/samba/provision/descriptor.py | brianwrf/pth-toolkit | 3641cdc76c0f52275315c9b18bf08b22521bd4d7 | [
"BSD-2-Clause"
] | 6 | 2015-02-03T14:06:12.000Z | 2021-05-11T12:07:02.000Z | lib/python2.7/site-packages/samba/provision/descriptor.py | brianwrf/pth-toolkit | 3641cdc76c0f52275315c9b18bf08b22521bd4d7 | [
"BSD-2-Clause"
] | 137 | 2015-02-05T13:31:57.000Z | 2022-02-23T09:44:18.000Z |
# Unix SMB/CIFS implementation.
# backend code for provisioning a Samba4 server
# Copyright (C) Jelmer Vernooij <jelmer@samba.org> 2007-2010
# Copyright (C) Andrew Bartlett <abartlet@samba.org> 2008-2009
# Copyright (C) Oliver Liebel <oliver@itc.li> 2008-2009
# Copyright (C) Amitay Isaacs <amitay@samba.org> 2011
#
# Based on the original in EJS:
# Copyright (C) Andrew Tridgell <tridge@samba.org> 2005
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
#
"""Functions for setting up a Samba configuration (security descriptors)."""
from samba.dcerpc import security
from samba.ndr import ndr_pack
# Descriptors of naming contexts and other important objects
def sddl2binary(sddl_in, domain_sid, name_map):
sddl = "%s" % sddl_in
for [name, sid] in name_map.items():
sddl = sddl.replace(name, sid)
sec = security.descriptor.from_sddl(sddl, domain_sid)
return ndr_pack(sec)
def get_empty_descriptor(domain_sid, name_map={}):
sddl= ""
return sddl2binary(sddl, domain_sid, name_map)
# "get_schema_descriptor" is located in "schema.py"
def get_config_descriptor(domain_sid, name_map={}):
sddl = "O:EAG:EAD:(OA;;CR;1131f6aa-9c07-11d1-f79f-00c04fc2dcd2;;ED)" \
"(OA;;CR;1131f6ab-9c07-11d1-f79f-00c04fc2dcd2;;ED)" \
"(OA;;CR;1131f6ac-9c07-11d1-f79f-00c04fc2dcd2;;ED)" \
"(OA;;CR;1131f6aa-9c07-11d1-f79f-00c04fc2dcd2;;BA)" \
"(OA;;CR;1131f6ab-9c07-11d1-f79f-00c04fc2dcd2;;BA)" \
"(OA;;CR;1131f6ac-9c07-11d1-f79f-00c04fc2dcd2;;BA)" \
"(A;;RPLCLORC;;;AU)(A;CI;RPWPCRCCDCLCLORCWOWDSDDTSW;;;EA)" \
"(A;;RPWPCRCCDCLCLORCWOWDSDDTSW;;;SY)(A;CIIO;RPWPCRCCLCLORCWOWDSDSW;;;DA)" \
"(OA;;CR;1131f6ad-9c07-11d1-f79f-00c04fc2dcd2;;ED)" \
"(OA;;CR;89e95b76-444d-4c62-991a-0facbeda640c;;ED)" \
"(OA;;CR;1131f6ad-9c07-11d1-f79f-00c04fc2dcd2;;BA)" \
"(OA;;CR;89e95b76-444d-4c62-991a-0facbeda640c;;BA)" \
"(OA;;CR;1131f6aa-9c07-11d1-f79f-00c04fc2dcd2;;ER)" \
"S:(AU;SA;WPWOWD;;;WD)(AU;SA;CR;;;BA)(AU;SA;CR;;;DU)" \
"(OU;SA;CR;45ec5156-db7e-47bb-b53f-dbeb2d03c40f;;WD)"
return sddl2binary(sddl, domain_sid, name_map)
def get_config_partitions_descriptor(domain_sid, name_map={}):
sddl = "D:" \
"(A;;LCLORC;;;AU)" \
"(OA;;RP;e48d0154-bcf8-11d1-8702-00c04fb96050;;AU)" \
"(OA;;RP;d31a8757-2447-4545-8081-3bb610cacbf2;;AU)" \
"(OA;;RP;66171887-8f3c-11d0-afda-00c04fd930c9;;AU)" \
"(OA;;RP;032160bf-9824-11d1-aec0-0000f80367c1;;AU)" \
"(OA;;RP;789ee1eb-8c8e-4e4c-8cec-79b31b7617b5;;AU)" \
"(OA;;RP;5706aeaf-b940-4fb2-bcfc-5268683ad9fe;;AU)" \
"(A;;RPWPCRCCLCLORCWOWDSW;;;EA)" \
"(A;;RPWPCRCCDCLCLORCWOWDSDDTSW;;;SY)" \
"(A;;CC;;;ED)" \
"(OA;CIIO;WP;3df793df-9858-4417-a701-735a1ecebf74;bf967a8d-0de6-11d0-a285-00aa003049e2;BA)" \
"S:" \
"(AU;CISA;WPCRCCDCWOWDSDDT;;;WD)"
return sddl2binary(sddl, domain_sid, name_map)
def get_config_sites_descriptor(domain_sid, name_map={}):
sddl = "D:" \
"(A;;RPLCLORC;;;AU)" \
"(OA;CIIO;SW;d31a8757-2447-4545-8081-3bb610cacbf2;f0f8ffab-1191-11d0-a060-00aa006c33ed;ER)" \
"(A;;RPWPCRCCLCLORCWOWDSW;;;EA)" \
"(A;;RPWPCRCCDCLCLORCWOWDSDDTSW;;;SY)" \
"S:" \
"(AU;CISA;CCDCSDDT;;;WD)" \
"(OU;CIIOSA;CR;;f0f8ffab-1191-11d0-a060-00aa006c33ed;WD)" \
"(OU;CIIOSA;WP;f30e3bbe-9ff0-11d1-b603-0000f80367c1;bf967ab3-0de6-11d0-a285-00aa003049e2;WD)" \
"(OU;CIIOSA;WP;f30e3bbf-9ff0-11d1-b603-0000f80367c1;bf967ab3-0de6-11d0-a285-00aa003049e2;WD)" \
"(OU;CIIOSA;WP;3e10944c-c354-11d0-aff8-0000f80367c1;b7b13124-b82e-11d0-afee-0000f80367c1;WD)"
return sddl2binary(sddl, domain_sid, name_map)
def get_config_ntds_quotas_descriptor(domain_sid, name_map={}):
sddl = "D:" \
"(A;;RPWPCRCCDCLCLORCWOWDSDDTSW;;;EA)" \
"(A;;RPLCLORC;;;BA)" \
"(OA;;CR;4ecc03fe-ffc0-4947-b630-eb672a8a9dbc;;WD)"
return sddl2binary(sddl, domain_sid, name_map)
def get_config_delete_protected1_descriptor(domain_sid, name_map={}):
sddl = "D:AI" \
"(A;;RPLCLORC;;;AU)" \
"(A;;RPWPCRCCLCLORCWOWDSW;;;EA)" \
"(A;;RPWPCRCCDCLCLORCWOWDSDDTSW;;;SY)"
return sddl2binary(sddl, domain_sid, name_map)
def get_config_delete_protected1wd_descriptor(domain_sid, name_map={}):
sddl = "D:AI" \
"(A;;RPLCLORC;;;WD)" \
"(A;;RPWPCRCCLCLORCWOWDSW;;;EA)" \
"(A;;RPWPCRCCDCLCLORCWOWDSDDTSW;;;SY)"
return sddl2binary(sddl, domain_sid, name_map)
def get_config_delete_protected2_descriptor(domain_sid, name_map={}):
sddl = "D:AI" \
"(A;;RPLCLORC;;;AU)" \
"(A;;RPWPCRCCDCLCLORCWOWDSW;;;EA)" \
"(A;;RPWPCRCCDCLCLORCWOWDSDDTSW;;;SY)"
return sddl2binary(sddl, domain_sid, name_map)
def get_domain_descriptor(domain_sid, name_map={}):
sddl= "O:BAG:BAD:AI(OA;CIIO;RP;4c164200-20c0-11d0-a768-00aa006e0529;4828cc14-1437-45bc-9b07-ad6f015e5f28;RU)" \
"(OA;CIIO;RP;4c164200-20c0-11d0-a768-00aa006e0529;bf967aba-0de6-11d0-a285-00aa003049e2;RU)" \
"(OA;CIIO;RP;5f202010-79a5-11d0-9020-00c04fc2d4cf;4828cc14-1437-45bc-9b07-ad6f015e5f28;RU)" \
"(OA;CIIO;RP;5f202010-79a5-11d0-9020-00c04fc2d4cf;bf967aba-0de6-11d0-a285-00aa003049e2;RU)" \
"(OA;CIIO;RP;bc0ac240-79a9-11d0-9020-00c04fc2d4cf;4828cc14-1437-45bc-9b07-ad6f015e5f28;RU)" \
"(OA;CIIO;RP;bc0ac240-79a9-11d0-9020-00c04fc2d4cf;bf967aba-0de6-11d0-a285-00aa003049e2;RU)" \
"(OA;CIIO;RP;59ba2f42-79a2-11d0-9020-00c04fc2d3cf;4828cc14-1437-45bc-9b07-ad6f015e5f28;RU)" \
"(OA;CIIO;RP;59ba2f42-79a2-11d0-9020-00c04fc2d3cf;bf967aba-0de6-11d0-a285-00aa003049e2;RU)" \
"(OA;CIIO;RP;037088f8-0ae1-11d2-b422-00a0c968f939;4828cc14-1437-45bc-9b07-ad6f015e5f28;RU)" \
"(OA;CIIO;RP;037088f8-0ae1-11d2-b422-00a0c968f939;bf967aba-0de6-11d0-a285-00aa003049e2;RU)" \
"(OA;;CR;1131f6aa-9c07-11d1-f79f-00c04fc2dcd2;;ER)" \
"(OA;;CR;1131f6ad-9c07-11d1-f79f-00c04fc2dcd2;;DD)" \
"(OA;CIIO;RP;b7c69e6d-2cc7-11d2-854e-00a0c983f608;bf967a86-0de6-11d0-a285-00aa003049e2;ED)" \
"(OA;CIIO;RP;b7c69e6d-2cc7-11d2-854e-00a0c983f608;bf967a9c-0de6-11d0-a285-00aa003049e2;ED)" \
"(OA;CIIO;RP;b7c69e6d-2cc7-11d2-854e-00a0c983f608;bf967aba-0de6-11d0-a285-00aa003049e2;ED)" \
"(OA;;CR;89e95b76-444d-4c62-991a-0facbeda640c;;BA)" \
"(OA;;CR;1131f6aa-9c07-11d1-f79f-00c04fc2dcd2;;BA)" \
"(OA;;CR;1131f6ab-9c07-11d1-f79f-00c04fc2dcd2;;BA)" \
"(OA;;CR;1131f6ac-9c07-11d1-f79f-00c04fc2dcd2;;BA)" \
"(OA;;CR;1131f6ad-9c07-11d1-f79f-00c04fc2dcd2;;BA)" \
"(OA;;CR;1131f6ae-9c07-11d1-f79f-00c04fc2dcd2;;BA)" \
"(OA;;CR;e2a36dc9-ae17-47c3-b58b-be34c55ba633;;IF)" \
"(OA;;RP;c7407360-20bf-11d0-a768-00aa006e0529;;RU)" \
"(OA;;RP;b8119fd0-04f6-4762-ab7a-4986c76b3f9a;;RU)" \
"(OA;CIIO;RPLCLORC;;4828cc14-1437-45bc-9b07-ad6f015e5f28;RU)" \
"(OA;CIIO;RPLCLORC;;bf967a9c-0de6-11d0-a285-00aa003049e2;RU)" \
"(OA;CIIO;RPLCLORC;;bf967aba-0de6-11d0-a285-00aa003049e2;RU)" \
"(OA;;CR;05c74c5e-4deb-43b4-bd9f-86664c2a7fd5;;AU)" \
"(OA;;CR;89e95b76-444d-4c62-991a-0facbeda640c;;ED)" \
"(OA;;CR;ccc2dc7d-a6ad-4a7a-8846-c04e3cc53501;;AU)" \
"(OA;;CR;280f369c-67c7-438e-ae98-1d46f3c6f541;;AU)" \
"(OA;;CR;1131f6aa-9c07-11d1-f79f-00c04fc2dcd2;;ED)" \
"(OA;;CR;1131f6ab-9c07-11d1-f79f-00c04fc2dcd2;;ED)" \
"(OA;;CR;1131f6ac-9c07-11d1-f79f-00c04fc2dcd2;;ED)" \
"(OA;;CR;1131f6ae-9c07-11d1-f79f-00c04fc2dcd2;;ED)" \
"(OA;;RP;b8119fd0-04f6-4762-ab7a-4986c76b3f9a;;AU)" \
"(OA;CIIO;RPWPCR;91e647de-d96f-4b70-9557-d63ff4f3ccd8;;PS)" \
"(A;;RPWPCRCCLCLORCWOWDSW;;;DA)" \
"(A;CI;RPWPCRCCDCLCLORCWOWDSDDTSW;;;EA)" \
"(A;;RPRC;;;RU)" \
"(A;CI;LC;;;RU)" \
"(A;CI;RPWPCRCCLCLORCWOWDSDSW;;;BA)" \
"(A;;RP;;;WD)" \
"(A;;RPLCLORC;;;ED)" \
"(A;;RPLCLORC;;;AU)" \
"(A;;RPWPCRCCDCLCLORCWOWDSDDTSW;;;SY)" \
"S:AI(OU;CISA;WP;f30e3bbe-9ff0-11d1-b603-0000f80367c1;bf967aa5-0de6-11d0-a285-00aa003049e2;WD)" \
"(OU;CISA;WP;f30e3bbf-9ff0-11d1-b603-0000f80367c1;bf967aa5-0de6-11d0-a285-00aa003049e2;WD)" \
"(AU;SA;CR;;;DU)(AU;SA;CR;;;BA)(AU;SA;WPWOWD;;;WD)"
return sddl2binary(sddl, domain_sid, name_map)
def get_domain_infrastructure_descriptor(domain_sid, name_map={}):
sddl = "D:" \
"(A;;RPLCLORC;;;AU)" \
"(A;;RPWPCRCCLCLORCWOWDSW;;;DA)" \
"(A;;RPWPCRCCDCLCLORCWOWDSDDTSW;;;SY)" \
"S:" \
"(AU;SA;WPCR;;;WD)"
return sddl2binary(sddl, domain_sid, name_map)
def get_domain_builtin_descriptor(domain_sid, name_map={}):
sddl = "D:" \
"(OA;CIIO;RP;4c164200-20c0-11d0-a768-00aa006e0529;4828cc14-1437-45bc-9b07-ad6f015e5f28;RU)" \
"(OA;CIIO;RP;4c164200-20c0-11d0-a768-00aa006e0529;bf967aba-0de6-11d0-a285-00aa003049e2;RU)" \
"(OA;CIIO;RP;5f202010-79a5-11d0-9020-00c04fc2d4cf;4828cc14-1437-45bc-9b07-ad6f015e5f28;RU)" \
"(OA;CIIO;RP;5f202010-79a5-11d0-9020-00c04fc2d4cf;bf967aba-0de6-11d0-a285-00aa003049e2;RU)" \
"(OA;CIIO;RP;bc0ac240-79a9-11d0-9020-00c04fc2d4cf;4828cc14-1437-45bc-9b07-ad6f015e5f28;RU)" \
"(OA;CIIO;RP;bc0ac240-79a9-11d0-9020-00c04fc2d4cf;bf967aba-0de6-11d0-a285-00aa003049e2;RU)" \
"(OA;CIIO;RP;59ba2f42-79a2-11d0-9020-00c04fc2d3cf;4828cc14-1437-45bc-9b07-ad6f015e5f28;RU)" \
"(OA;CIIO;RP;59ba2f42-79a2-11d0-9020-00c04fc2d3cf;bf967aba-0de6-11d0-a285-00aa003049e2;RU)" \
"(OA;CIIO;RP;037088f8-0ae1-11d2-b422-00a0c968f939;4828cc14-1437-45bc-9b07-ad6f015e5f28;RU)" \
"(OA;CIIO;RP;037088f8-0ae1-11d2-b422-00a0c968f939;bf967aba-0de6-11d0-a285-00aa003049e2;RU)" \
"(OA;;CR;1131f6aa-9c07-11d1-f79f-00c04fc2dcd2;;ER)" \
"(OA;;CR;1131f6ad-9c07-11d1-f79f-00c04fc2dcd2;;DD)" \
"(OA;CIIO;RP;b7c69e6d-2cc7-11d2-854e-00a0c983f608;bf967a86-0de6-11d0-a285-00aa003049e2;ED)" \
"(OA;CIIO;RP;b7c69e6d-2cc7-11d2-854e-00a0c983f608;bf967a9c-0de6-11d0-a285-00aa003049e2;ED)" \
"(OA;CIIO;RP;b7c69e6d-2cc7-11d2-854e-00a0c983f608;bf967aba-0de6-11d0-a285-00aa003049e2;ED)" \
"(OA;;CR;89e95b76-444d-4c62-991a-0facbeda640c;;BA)" \
"(OA;;CR;1131f6aa-9c07-11d1-f79f-00c04fc2dcd2;;BA)" \
"(OA;;CR;1131f6ab-9c07-11d1-f79f-00c04fc2dcd2;;BA)" \
"(OA;;CR;1131f6ac-9c07-11d1-f79f-00c04fc2dcd2;;BA)" \
"(OA;;CR;1131f6ad-9c07-11d1-f79f-00c04fc2dcd2;;BA)" \
"(OA;;CR;1131f6ae-9c07-11d1-f79f-00c04fc2dcd2;;BA)" \
"(OA;;CR;e2a36dc9-ae17-47c3-b58b-be34c55ba633;;IF)" \
"(OA;;RP;c7407360-20bf-11d0-a768-00aa006e0529;;RU)" \
"(OA;;RP;b8119fd0-04f6-4762-ab7a-4986c76b3f9a;;RU)" \
"(OA;CIIO;RPLCLORC;;4828cc14-1437-45bc-9b07-ad6f015e5f28;RU)" \
"(OA;CIIO;RPLCLORC;;bf967a9c-0de6-11d0-a285-00aa003049e2;RU)" \
"(OA;CIIO;RPLCLORC;;bf967aba-0de6-11d0-a285-00aa003049e2;RU)" \
"(OA;;CR;05c74c5e-4deb-43b4-bd9f-86664c2a7fd5;;AU)" \
"(OA;;CR;89e95b76-444d-4c62-991a-0facbeda640c;;ED)" \
"(OA;;CR;ccc2dc7d-a6ad-4a7a-8846-c04e3cc53501;;AU)" \
"(OA;;CR;280f369c-67c7-438e-ae98-1d46f3c6f541;;AU)" \
"(OA;;CR;1131f6aa-9c07-11d1-f79f-00c04fc2dcd2;;ED)" \
"(OA;;CR;1131f6ab-9c07-11d1-f79f-00c04fc2dcd2;;ED)" \
"(OA;;CR;1131f6ac-9c07-11d1-f79f-00c04fc2dcd2;;ED)" \
"(OA;;CR;1131f6ae-9c07-11d1-f79f-00c04fc2dcd2;;ED)" \
"(OA;;RP;b8119fd0-04f6-4762-ab7a-4986c76b3f9a;;AU)" \
"(OA;CIIO;RPWPCR;91e647de-d96f-4b70-9557-d63ff4f3ccd8;;PS)" \
"(A;;RPWPCRCCLCLORCWOWDSW;;;DA)" \
"(A;CI;RPWPCRCCDCLCLORCWOWDSDDTSW;;;EA)" \
"(A;;RPRC;;;RU)" \
"(A;CI;LC;;;RU)" \
"(A;CI;RPWPCRCCLCLORCWOWDSDSW;;;BA)" \
"(A;;RP;;;WD)" \
"(A;;RPLCLORC;;;ED)" \
"(A;;RPLCLORC;;;AU)" \
"(A;;RPWPCRCCDCLCLORCWOWDSDDTSW;;;SY)" \
"S:" \
"(OU;CISA;WP;f30e3bbe-9ff0-11d1-b603-0000f80367c1;bf967aa5-0de6-11d0-a285-00aa003049e2;WD)" \
"(OU;CISA;WP;f30e3bbf-9ff0-11d1-b603-0000f80367c1;bf967aa5-0de6-11d0-a285-00aa003049e2;WD)" \
"(AU;SA;CR;;;DU)" \
"(AU;SA;CR;;;BA)" \
"(AU;SA;WPWOWD;;;WD)"
return sddl2binary(sddl, domain_sid, name_map)
def get_domain_computers_descriptor(domain_sid, name_map={}):
sddl = "D:" \
"(A;;RPWPCRCCDCLCLORCWOWDSDDTSW;;;SY)" \
"(A;;RPWPCRCCDCLCLORCWOWDSW;;;DA)" \
"(OA;;CCDC;bf967a86-0de6-11d0-a285-00aa003049e2;;AO)" \
"(OA;;CCDC;bf967aba-0de6-11d0-a285-00aa003049e2;;AO)" \
"(OA;;CCDC;bf967a9c-0de6-11d0-a285-00aa003049e2;;AO)" \
"(OA;;CCDC;bf967aa8-0de6-11d0-a285-00aa003049e2;;PO)" \
"(A;;RPLCLORC;;;AU)" \
"(OA;;CCDC;4828cc14-1437-45bc-9b07-ad6f015e5f28;;AO)" \
"S:"
return sddl2binary(sddl, domain_sid, name_map)
def get_domain_users_descriptor(domain_sid, name_map={}):
sddl = "D:" \
"(A;;RPWPCRCCDCLCLORCWOWDSDDTSW;;;SY)" \
"(A;;RPWPCRCCDCLCLORCWOWDSW;;;DA)" \
"(OA;;CCDC;bf967aba-0de6-11d0-a285-00aa003049e2;;AO)" \
"(OA;;CCDC;bf967a9c-0de6-11d0-a285-00aa003049e2;;AO)" \
"(OA;;CCDC;bf967aa8-0de6-11d0-a285-00aa003049e2;;PO)" \
"(A;;RPLCLORC;;;AU)" \
"(OA;;CCDC;4828cc14-1437-45bc-9b07-ad6f015e5f28;;AO)" \
"S:"
return sddl2binary(sddl, domain_sid, name_map)
def get_domain_controllers_descriptor(domain_sid, name_map={}):
sddl = "D:" \
"(A;;RPLCLORC;;;AU)" \
"(A;;RPWPCRCCLCLORCWOWDSW;;;DA)" \
"(A;;RPWPCRCCDCLCLORCWOWDSDDTSW;;;SY)" \
"(A;;RPLCLORC;;;ED)" \
"S:" \
"(AU;SA;CCDCWOWDSDDT;;;WD)" \
"(AU;CISA;WP;;;WD)"
return sddl2binary(sddl, domain_sid, name_map)
def get_domain_delete_protected1_descriptor(domain_sid, name_map={}):
sddl = "D:AI" \
"(A;;RPLCLORC;;;AU)" \
"(A;;RPWPCRCCLCLORCWOWDSW;;;DA)" \
"(A;;RPWPCRCCDCLCLORCWOWDSDDTSW;;;SY)"
return sddl2binary(sddl, domain_sid, name_map)
def get_domain_delete_protected2_descriptor(domain_sid, name_map={}):
sddl = "D:AI" \
"(A;;RPLCLORC;;;AU)" \
"(A;;RPWPCRCCDCLCLORCWOWDSW;;;DA)" \
"(A;;RPWPCRCCDCLCLORCWOWDSDDTSW;;;SY)"
return sddl2binary(sddl, domain_sid, name_map)
def get_dns_partition_descriptor(domain_sid, name_map={}):
sddl = "O:SYG:BAD:AI" \
"(OA;CIIO;RP;4c164200-20c0-11d0-a768-00aa006e0529;4828cc14-1437-45bc-9b07-ad6f015e5f28;RU)" \
"(OA;CIIO;RP;4c164200-20c0-11d0-a768-00aa006e0529;bf967aba-0de6-11d0-a285-00aa003049e2;RU)" \
"(OA;CIIO;RP;5f202010-79a5-11d0-9020-00c04fc2d4cf;4828cc14-1437-45bc-9b07-ad6f015e5f28;RU)" \
"(OA;CIIO;RP;5f202010-79a5-11d0-9020-00c04fc2d4cf;bf967aba-0de6-11d0-a285-00aa003049e2;RU)" \
"(OA;CIIO;RP;bc0ac240-79a9-11d0-9020-00c04fc2d4cf;4828cc14-1437-45bc-9b07-ad6f015e5f28;RU)" \
"(OA;CIIO;RP;bc0ac240-79a9-11d0-9020-00c04fc2d4cf;bf967aba-0de6-11d0-a285-00aa003049e2;RU)" \
"(OA;CIIO;RP;59ba2f42-79a2-11d0-9020-00c04fc2d3cf;4828cc14-1437-45bc-9b07-ad6f015e5f28;RU)" \
"(OA;CIIO;RP;59ba2f42-79a2-11d0-9020-00c04fc2d3cf;bf967aba-0de6-11d0-a285-00aa003049e2;RU)" \
"(OA;CIIO;RP;037088f8-0ae1-11d2-b422-00a0c968f939;4828cc14-1437-45bc-9b07-ad6f015e5f28;RU)" \
"(OA;CIIO;RP;037088f8-0ae1-11d2-b422-00a0c968f939;bf967aba-0de6-11d0-a285-00aa003049e2;RU)" \
"(OA;;CR;1131f6aa-9c07-11d1-f79f-00c04fc2dcd2;;ER)" \
"(OA;CIIO;RP;b7c69e6d-2cc7-11d2-854e-00a0c983f608;bf967a86-0de6-11d0-a285-00aa003049e2;ED)" \
"(OA;CIIO;RP;b7c69e6d-2cc7-11d2-854e-00a0c983f608;bf967a9c-0de6-11d0-a285-00aa003049e2;ED)" \
"(OA;CIIO;RP;b7c69e6d-2cc7-11d2-854e-00a0c983f608;bf967aba-0de6-11d0-a285-00aa003049e2;ED)" \
"(OA;;CR;89e95b76-444d-4c62-991a-0facbeda640c;;BA)" \
"(OA;;CR;1131f6aa-9c07-11d1-f79f-00c04fc2dcd2;;BA)" \
"(OA;;CR;1131f6ab-9c07-11d1-f79f-00c04fc2dcd2;;BA)" \
"(OA;;CR;1131f6ac-9c07-11d1-f79f-00c04fc2dcd2;;BA)" \
"(OA;;CR;1131f6ad-9c07-11d1-f79f-00c04fc2dcd2;;BA)" \
"(OA;;CR;1131f6ae-9c07-11d1-f79f-00c04fc2dcd2;;BA)" \
"(OA;;CR;e2a36dc9-ae17-47c3-b58b-be34c55ba633;;IF)" \
"(OA;;RP;c7407360-20bf-11d0-a768-00aa006e0529;;RU)" \
"(OA;;RP;b8119fd0-04f6-4762-ab7a-4986c76b3f9a;;RU)" \
"(OA;CIIO;RPLCLORC;;4828cc14-1437-45bc-9b07-ad6f015e5f28;RU)" \
"(OA;CIIO;RPLCLORC;;bf967a9c-0de6-11d0-a285-00aa003049e2;RU)" \
"(OA;CIIO;RPLCLORC;;bf967aba-0de6-11d0-a285-00aa003049e2;RU)" \
"(OA;;CR;05c74c5e-4deb-43b4-bd9f-86664c2a7fd5;;AU)" \
"(OA;;CR;89e95b76-444d-4c62-991a-0facbeda640c;;ED)" \
"(OA;;CR;ccc2dc7d-a6ad-4a7a-8846-c04e3cc53501;;AU)" \
"(OA;;CR;280f369c-67c7-438e-ae98-1d46f3c6f541;;AU)" \
"(OA;;CR;1131f6aa-9c07-11d1-f79f-00c04fc2dcd2;;ED)" \
"(OA;;CR;1131f6ab-9c07-11d1-f79f-00c04fc2dcd2;;ED)" \
"(OA;;CR;1131f6ac-9c07-11d1-f79f-00c04fc2dcd2;;ED)" \
"(OA;;CR;1131f6ad-9c07-11d1-f79f-00c04fc2dcd2;;ED)" \
"(OA;;CR;1131f6ae-9c07-11d1-f79f-00c04fc2dcd2;;ED)" \
"(OA;;RP;b8119fd0-04f6-4762-ab7a-4986c76b3f9a;;AU)" \
"(OA;CIIO;RPWPCR;91e647de-d96f-4b70-9557-d63ff4f3ccd8;;PS)" \
"(A;;RPWPCRCCLCLORCWOWDSW;;;DA)" \
"(A;CI;RPWPCRCCDCLCLORCWOWDSDDTSW;;;EA)" \
"(A;;RPRC;;;RU)" \
"(A;CI;LC;;;RU)" \
"(A;CI;RPWPCRCCLCLORCWOWDSDSW;;;BA)" \
"(A;;RP;;;WD)" \
"(A;;RPLCLORC;;;ED)" \
"(A;;RPLCLORC;;;AU)" \
"(A;;RPWPCRCCDCLCLORCWOWDSDDTSW;;;SY)" \
"S:AI" \
"(OU;CISA;WP;f30e3bbe-9ff0-11d1-b603-0000f80367c1;bf967aa5-0de6-11d0-a285-00aa003049e2;WD)" \
"(OU;CISA;WP;f30e3bbf-9ff0-11d1-b603-0000f80367c1;bf967aa5-0de6-11d0-a285-00aa003049e2;WD)" \
"(AU;SA;CR;;;DU)(AU;SA;CR;;;BA)(AU;SA;WPWOWD;;;WD)"
return sddl2binary(sddl, domain_sid, name_map)
def get_dns_forest_microsoft_dns_descriptor(domain_sid, name_map={}):
sddl = "O:SYG:SYD:AI" \
"(A;;RPWPCRCCDCLCLORCWOWDSDDTSW;;;SY)" \
"(A;CI;RPWPCRCCDCLCRCWOWDSDDTSW;;;ED)"
return sddl2binary(sddl, domain_sid, name_map)
def get_dns_domain_microsoft_dns_descriptor(domain_sid, name_map={}):
sddl = "O:SYG:SYD:AI" \
"(A;;RPWPCRCCDCLCLORCWOWDSDDTSW;;;DA)" \
"(A;CI;RPWPCRCCDCLCRCWOWDSDDTSW;;;DnsAdmins)" \
"(A;;RPWPCRCCDCLCLORCWOWDSDDTSW;;;SY)" \
"(A;CI;RPWPCRCCDCLCRCWOWDSDDTSW;;;ED)"
return sddl2binary(sddl, domain_sid, name_map)
| 50.661111 | 115 | 0.681325 | 2,441 | 18,238 | 5.028677 | 0.140926 | 0.02053 | 0.044969 | 0.089939 | 0.852138 | 0.831772 | 0.818086 | 0.800978 | 0.795438 | 0.790713 | 0 | 0.260916 | 0.118434 | 18,238 | 359 | 116 | 50.802228 | 0.50255 | 0.064481 | 0 | 0.780328 | 0 | 0.177049 | 0.703482 | 0.665492 | 0 | 0 | 0 | 0 | 0 | 1 | 0.065574 | false | 0 | 0.006557 | 0 | 0.137705 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10 |
fd10a6a48a189f57975275e97b70d2ab65c0e846 | 2,992 | py | Python | aiohttp_web_scrape_async_one_many.py | OSAMAMOHAMED1234/python_projects | fb4bc7356847c3f46df690a9386cf970377a6f7c | [
"MIT"
] | null | null | null | aiohttp_web_scrape_async_one_many.py | OSAMAMOHAMED1234/python_projects | fb4bc7356847c3f46df690a9386cf970377a6f7c | [
"MIT"
] | null | null | null | aiohttp_web_scrape_async_one_many.py | OSAMAMOHAMED1234/python_projects | fb4bc7356847c3f46df690a9386cf970377a6f7c | [
"MIT"
] | null | null | null | import asyncio
from aiohttp import ClientSession
import os
async def main():
url = 'https://www.boxofficemojo.com/year/2020/'
html_body = ''
async with ClientSession() as session:
async with session.get(url) as response:
html_body = await response.read()
return html_body
asyncio.set_event_loop_policy(asyncio.WindowsSelectorEventLoopPolicy())
html_data = asyncio.run(main())
output_dir = os.path.join(os.path.dirname(os.path.abspath(__file__)), 'movies')
os.makedirs(output_dir, exist_ok=True)
output_file = os.path.join(output_dir, '2020.html')
with open(output_file, 'wb') as f:
f.write(html_data)
print("==================================================")
import asyncio
from aiohttp import ClientSession
import os
async def fetch(url, session, year):
async with session.get(url) as response:
html_body = await response.read()
return {'body': html_body, 'year': year}
async def main(start_year=2020, years_ago=5):
tasks = []
async with ClientSession() as session:
for i in range(0, years_ago):
year = start_year - i
url = f'https://www.boxofficemojo.com/year/{year}/'
tasks.append(
asyncio.create_task(
fetch(url, session, year)
)
)
pages_content = await asyncio.gather(*tasks)
return pages_content
asyncio.set_event_loop_policy(asyncio.WindowsSelectorEventLoopPolicy())
results = asyncio.run(main())
output_dir = os.path.join(os.path.dirname(os.path.abspath(__file__)), 'movies', 'multi')
os.makedirs(output_dir, exist_ok=True)
for result in results:
year = result.get('year')
html_data = result.get('body')
output_file = os.path.join(output_dir, f'{year}.html')
with open(output_file, 'wb') as f:
f.write(html_data)
print("==================================================")
# mulit with semaphore
import asyncio
from aiohttp import ClientSession
import os
async def fetch(url, session, year=None):
async with session.get(url) as response:
html_body = await response.read()
return {'body': html_body, 'year': year}
async def fetch_with_sem(sem, session, url, year=None):
async with sem:
return await fetch(url, session, year)
async def main(start_year=2020, years_ago=20):
tasks = []
sem = asyncio.Semaphore(10)
async with ClientSession() as session:
for i in range(0, years_ago):
year = start_year - i
url = f'https://www.boxofficemojo.com/year/{year}/'
print('year', year, url)
tasks.append(
asyncio.create_task(
fetch_with_sem(sem, session, url, year=year)
)
)
pages_content = await asyncio.gather(*tasks)
return pages_content
asyncio.set_event_loop_policy(asyncio.WindowsSelectorEventLoopPolicy())
results = asyncio.run(main())
output_dir = os.path.join(os.path.dirname(os.path.abspath(__file__)), 'movies', 'multi', 'semaphore')
os.makedirs(output_dir, exist_ok=True)
for result in results:
year = result.get('year')
html_data = result.get('body')
output_file = os.path.join(output_dir, f'{year}.html')
with open(output_file, 'wb') as f:
f.write(html_data) | 29.623762 | 101 | 0.704211 | 430 | 2,992 | 4.737209 | 0.176744 | 0.035346 | 0.029455 | 0.03731 | 0.922926 | 0.886598 | 0.856652 | 0.768778 | 0.768778 | 0.738341 | 0 | 0.008856 | 0.132019 | 2,992 | 101 | 102 | 29.623762 | 0.77551 | 0.006684 | 0 | 0.714286 | 0 | 0 | 0.11242 | 0.033659 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.107143 | 0 | 0.178571 | 0.035714 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
fd18e6094680443f9b24e278d67f8d393c52b40f | 46,805 | py | Python | batchapps/test/unittest_api.py | Azure/azure-batch-apps-python | d7edf210d601137ba5ed187a58f4fe49e413ce1e | [
"MIT"
] | 16 | 2015-02-25T23:35:18.000Z | 2021-06-10T23:58:49.000Z | batchapps/test/unittest_api.py | Azure/azure-batch-apps-python | d7edf210d601137ba5ed187a58f4fe49e413ce1e | [
"MIT"
] | 1 | 2021-02-24T04:11:17.000Z | 2021-02-24T04:11:17.000Z | batchapps/test/unittest_api.py | Azure/azure-batch-apps-python | d7edf210d601137ba5ed187a58f4fe49e413ce1e | [
"MIT"
] | 9 | 2015-03-09T15:16:19.000Z | 2021-06-08T19:00:53.000Z | #-------------------------------------------------------------------------
# The Azure Batch Apps Python Client
#
# Copyright (c) Microsoft Corporation. All rights reserved.
#
# The MIT License (MIT)
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the ""Software""), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
# copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included in
# all copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED *AS IS*, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
# THE SOFTWARE.
#
#--------------------------------------------------------------------------
"""Unit tests for BatchAppsApi"""
import sys
try:
import unittest2 as unittest
except ImportError:
import unittest
try:
from unittest import mock
except ImportError:
import mock
try:
from builtins import open
BUILTIN_OPEN = "builtins.open"
except ImportError:
BUILTIN_OPEN = "__builtin__.open"
from batchapps import api
from batchapps.exceptions import (
RestCallException,
FileMissingException)
from batchapps.files import UserFile
from batchapps.api import (
BatchAppsApi,
Response)
API_VERSION = "2014-10-01-preview"
# pylint: disable=W0212
class TestBatchAppsApi(unittest.TestCase):
"""Unit tests for BatchAppsApi"""
def setUp(self):
self.headers = {"Accept": "application/json",
"x-ms-version": API_VERSION,
"Content-Type": "application/json"}
return super(TestBatchAppsApi, self).setUp()
@mock.patch('batchapps.credentials.Configuration')
@mock.patch('batchapps.credentials.Credentials')
def test_api_app(self, mock_creds, mock_config):
"""Test app"""
_api = BatchAppsApi(mock_creds, mock_config)
_api.app()
self.assertTrue(mock_config.current_jobtype.called)
@mock.patch('batchapps.credentials.Configuration')
@mock.patch('batchapps.credentials.Credentials')
def test_api_url(self, mock_creds, mock_config):
"""Test url"""
mock_config.endpoint.return_value = "test_endpoint.com"
_api = BatchAppsApi(mock_creds, mock_config)
val = _api.url("jobs")
self.assertTrue(mock_config.endpoint.called)
self.assertEqual(val, "https://test_endpoint.com/api/jobs")
@mock.patch('batchapps.credentials.Configuration')
@mock.patch('batchapps.credentials.Credentials')
def test_api_default_params(self, mock_creds, mock_config):
"""Test default_params"""
_api = BatchAppsApi(mock_creds, mock_config)
_api.default_params()
self.assertTrue(mock_config.default_params.called)
@mock.patch.object(api.rest_client, 'get')
@mock.patch('batchapps.credentials.Configuration')
@mock.patch('batchapps.credentials.Credentials')
@mock.patch.object(BatchAppsApi, 'url')
def test_api_list_jobs(self, mock_url, mock_creds, mock_config, mock_get):
"""Test list_jobs"""
_api = BatchAppsApi(mock_creds, mock_config)
mock_url.return_value = "https://test_endpoint.com/api/jobs"
mock_get.return_value = {}
val = _api.list_jobs()
self.assertIsInstance(val, Response)
self.assertFalse(val.success)
mock_get.return_value = {'totalCount':1, 'jobs':2}
val = _api.list_jobs()
self.assertIsInstance(val, Response)
self.assertTrue(val.success)
mock_get.assert_called_with(mock_creds,
"https://test_endpoint.com/api/jobs",
self.headers,
params={"maxResults": 10, "startIndex": 0})
val = _api.list_jobs(index=8, per_call=15, name=20)
self.assertIsInstance(val, Response)
self.assertTrue(val.success)
mock_get.assert_called_with(mock_creds,
"https://test_endpoint.com/api/jobs",
self.headers,
params={"maxResults": 15,
"startIndex": 8,
"nameContains":"20"})
mock_get.side_effect = RestCallException(None, "Boom!", None)
val = _api.list_jobs()
self.assertIsInstance(val, Response)
self.assertFalse(val.success)
@mock.patch.object(api.rest_client, 'get')
@mock.patch('batchapps.credentials.Configuration')
@mock.patch('batchapps.credentials.Credentials')
@mock.patch.object(BatchAppsApi, 'url')
def test_api_get_job(self, mock_url, mock_creds, mock_config, mock_get):
"""Test get_job"""
_api = BatchAppsApi(mock_creds, mock_config)
mock_url.return_value = "https://test_endpoint.com/api/jobs"
mock_get.return_value = None
val = _api.get_job()
self.assertIsInstance(val, Response)
self.assertFalse(val.success)
val = _api.get_job(url="https://job_url")
mock_get.assert_called_with(mock_creds,
"https://job_url",
self.headers)
self.assertFalse(val.success)
mock_get.return_value = {'id':'1', 'name':'2', 'type':'3'}
val = _api.get_job(url="https://job_url")
mock_get.assert_called_with(mock_creds,
"https://job_url",
self.headers)
self.assertTrue(val.success)
mock_url.return_value = "https://test_endpoint.com/api/{jobid}"
val = _api.get_job(job_id="abcdef")
mock_get.assert_called_with(mock_creds,
"https://test_endpoint.com/api/abcdef",
self.headers)
self.assertTrue(val.success)
self.assertTrue(mock_url.called)
mock_get.side_effect = RestCallException(None, "Boom~", None)
val = _api.get_job(job_id="abcdef")
self.assertFalse(val.success)
@mock.patch.object(api.rest_client, 'post')
@mock.patch('batchapps.credentials.Configuration')
@mock.patch('batchapps.credentials.Credentials')
@mock.patch.object(BatchAppsApi, 'url')
def test_api_send_job(self, mock_url, mock_creds, mock_config, mock_post):
"""Test send_job"""
_api = BatchAppsApi(mock_creds, mock_config)
mock_url.return_value = "https://test_endpoint.com/api/jobs"
mock_post.return_value = {}
val = _api.send_job({})
mock_post.assert_called_with(mock_creds,
"https://test_endpoint.com/api/jobs",
self.headers,
message={})
self.assertFalse(val.success)
mock_post.return_value = {'jobId':'1', 'link':'2'}
val = _api.send_job({})
mock_post.assert_called_with(mock_creds,
"https://test_endpoint.com/api/jobs",
self.headers,
message={})
self.assertTrue(val.success)
mock_post.side_effect = RestCallException(None, "Boom~", None)
val = _api.send_job({})
self.assertFalse(val.success)
@mock.patch.object(api.rest_client, 'get')
@mock.patch('batchapps.credentials.Configuration')
@mock.patch('batchapps.credentials.Credentials')
@mock.patch.object(BatchAppsApi, 'url')
def test_api_get_log(self, mock_url, mock_creds, mock_config, mock_get):
"""Test get_log"""
_api = BatchAppsApi(mock_creds, mock_config)
mock_url.return_value = "https://test_endpoint.com/api/{jobid}/log"
mock_get.return_value = {}
val = _api.get_log("abcdef")
self.assertTrue(val.success)
mock_get.assert_called_with(mock_creds,
"https://test_endpoint.com/api/abcdef/log",
self.headers,
params={'maxResults':100})
val = _api.get_log("abcdef", start=1, max_lines=None)
mock_get.assert_called_with(mock_creds,
"https://test_endpoint.com/api/abcdef/log",
self.headers,
params={'since':'1'})
mock_get.side_effect = RestCallException(None, "Boom~", None)
val = _api.get_log("test")
self.assertFalse(val.success)
@mock.patch.object(api.rest_client, 'post')
@mock.patch('batchapps.credentials.Configuration')
@mock.patch('batchapps.credentials.Credentials')
@mock.patch.object(BatchAppsApi, 'url')
def test_api_cancel(self, mock_url, mock_creds, mock_config, mock_post):
"""Test cancel"""
_api = BatchAppsApi(mock_creds, mock_config)
mock_url.return_value = "https://test_endpoint.com/api/{jobid}"
mock_post.return_value = {}
val = _api.cancel("test_id")
mock_post.assert_called_with(mock_creds,
"https://test_endpoint.com/api/test_id",
self.headers)
self.assertTrue(val.success)
mock_post.side_effect = RestCallException(None, "Boom~", None)
val = _api.cancel("test_id")
self.assertFalse(val.success)
@mock.patch.object(api.rest_client, 'post')
@mock.patch('batchapps.credentials.Configuration')
@mock.patch('batchapps.credentials.Credentials')
@mock.patch.object(BatchAppsApi, 'url')
def test_api_reprocess(self, mock_url, mock_creds, mock_config, mock_post):
"""Test reprocess"""
_api = BatchAppsApi(mock_creds, mock_config)
mock_url.return_value = "https://test_endpoint.com/api/{jobid}"
mock_post.return_value = {}
val = _api.reprocess("test_id")
mock_post.assert_called_with(mock_creds,
"https://test_endpoint.com/api/test_id",
self.headers)
self.assertTrue(val.success)
mock_post.side_effect = RestCallException(None, "Boom~", None)
val = _api.reprocess("test_id")
self.assertFalse(val.success)
@mock.patch.object(api.rest_client, 'get')
@mock.patch('batchapps.credentials.Configuration')
@mock.patch('batchapps.credentials.Credentials')
@mock.patch.object(BatchAppsApi, 'url')
def test_api_list_outputs(self,
mock_url,
mock_creds,
mock_config,
mock_get):
"""Test list_outputs"""
_api = BatchAppsApi(mock_creds, mock_config)
mock_url.return_value = "https://test_endpoint.com/{jobid}"
mock_get.return_value = {}
val = _api.list_outputs("test_id")
mock_get.assert_called_with(mock_creds,
"https://test_endpoint.com/test_id",
self.headers)
self.assertFalse(val.success)
mock_get.return_value = {'jobOutputs':None}
val = _api.list_outputs("test_id")
mock_get.assert_called_with(mock_creds,
"https://test_endpoint.com/test_id",
self.headers)
self.assertFalse(val.success)
mock_get.return_value = {'jobOutputs':[]}
val = _api.list_outputs("test_id")
self.assertTrue(val.success)
self.assertEqual(val.result, [])
mock_get.return_value = {'jobOutputs':[{'name':'output.zip',
'link':{'href':'http://url'},
'kind':'output'}]}
val = _api.list_outputs("test_id")
self.assertTrue(val.success)
self.assertEqual(val.result, [{'name':'output.zip',
'link':'http://url',
'type':'output'}])
mock_get.return_value = {'jobOutputs':[{'name':'output.zip'}]}
val = _api.list_outputs("test_id")
self.assertTrue(val.success)
self.assertEqual(val.result, [{'name':'output.zip',
'link':None,
'type':None}])
mock_get.side_effect = RestCallException(None, "Boom~", None)
val = _api.list_outputs("test_id")
self.assertFalse(val.success)
@mock.patch.object(api.rest_client, 'download')
@mock.patch('batchapps.credentials.Configuration')
@mock.patch('batchapps.credentials.Credentials')
@mock.patch.object(BatchAppsApi, 'url')
def test_api_get_output(self,
mock_url,
mock_creds,
mock_config,
mock_download):
"""Test get_output"""
_callback = mock.Mock()
_api = BatchAppsApi(mock_creds, mock_config)
mock_url.return_value = "https://test.com/{jobid}/{type}"
mock_download.return_value = {}
val = _api.get_output("c:\\dir", 500, "output.zip", False)
self.assertFalse(mock_download.called)
self.assertFalse(val.success)
val = _api.get_output("c:\\dir",
500,
"output.zip",
False,
url="http://url")
mock_download.assert_called_with(mock_creds,
"http://url",
self.headers, "c:\\dir",
500,
False,
f_name="output.zip",
block_size=4096,
callback=None)
self.assertTrue(val.success)
val = _api.get_output("c:\\dir",
500,
"output.zip",
False,
url="http://url",
job_id="test_id",
callback=_callback,
block=1)
mock_download.assert_called_with(mock_creds,
"http://url",
self.headers,
"c:\\dir",
500,
False,
f_name="output.zip",
block_size=1,
callback=_callback)
self.assertTrue(val.success)
val = _api.get_output("c:\\dir",
500,
"output.zip",
False,
job_id="test_id")
mock_download.assert_called_with(mock_creds,
"https://test.com/test_id/output",
self.headers,
"c:\\dir",
500,
False,
f_name="output.zip",
block_size=4096,
callback=None)
self.assertTrue(val.success)
val = _api.get_output("c:\\dir",
500,
"output.zip",
False,
job_id="test_id",
otype="test")
self.assertFalse(val.success)
@mock.patch.object(api.rest_client, 'head')
@mock.patch('batchapps.credentials.Configuration')
@mock.patch('batchapps.credentials.Credentials')
@mock.patch.object(BatchAppsApi, 'url')
def test_api_props_output(self,
mock_url,
mock_creds,
mock_config,
mock_head):
"""Test props_output"""
_api = BatchAppsApi(mock_creds, mock_config)
mock_url.return_value = "https://test.com/{jobid}/{type}"
mock_head.return_value = {}
val = _api.props_output()
self.assertFalse(mock_head.called)
self.assertFalse(val.success)
val = _api.props_output(job_id="test")
mock_head.assert_called_with(mock_creds,
"https://test.com/test/output",
self.headers)
self.assertTrue(val.success)
mock_head.side_effect = RestCallException(None, "Boom~", None)
val = _api.props_output(job_id="test")
self.assertFalse(val.success)
@mock.patch.object(api.rest_client, 'get')
@mock.patch('batchapps.credentials.Configuration')
@mock.patch('batchapps.credentials.Credentials')
@mock.patch.object(BatchAppsApi, 'url')
def test_api_list_output_files(self,
mock_url,
mock_creds,
mock_config,
mock_get):
"""Test list_output_files"""
_api = BatchAppsApi(mock_creds, mock_config)
mock_url.return_value = "https://test.com/{jobid}"
mock_get.return_value = {}
val = _api.list_output_files("test_id")
mock_get.assert_called_with(mock_creds,
"https://test.com/test_id",
self.headers)
self.assertFalse(val.success)
mock_get.return_value = {'outputs':None}
val = _api.list_output_files("test_id")
mock_get.assert_called_with(mock_creds,
"https://test.com/test_id",
self.headers)
self.assertFalse(val.success)
mock_get.return_value = {'outputs':[]}
val = _api.list_output_files("test_id")
self.assertTrue(val.success)
self.assertEqual(val.result, [])
mock_get.return_value = {'outputs':[{'name':'output.zip',
'link':{'href':'http://url'},
'kind':'output'}]}
val = _api.list_output_files("test_id")
self.assertTrue(val.success)
self.assertEqual(val.result, [{'name':'output.zip',
'link':'http://url',
'type':'output'}])
mock_get.return_value = {'outputs':[{'name':'output.zip'}]}
val = _api.list_output_files("test_id")
self.assertTrue(val.success)
self.assertEqual(val.result, [{'name':'output.zip',
'link':None,
'type':None}])
mock_get.side_effect = RestCallException(None, "Boom~", None)
val = _api.list_output_files("test_id")
self.assertFalse(val.success)
@mock.patch.object(api.rest_client, 'download')
@mock.patch('batchapps.credentials.Configuration')
@mock.patch('batchapps.credentials.Credentials')
@mock.patch.object(BatchAppsApi, 'url')
def test_api_get_output_file(self,
mock_url,
mock_creds,
mock_config,
mock_download):
"""Test get_output_file"""
_callback = mock.Mock()
_api = BatchAppsApi(mock_creds, mock_config)
mock_url.return_value = "https://test.com/{jobid}/{name}"
mock_download.return_value = {}
val = _api.get_output_file("c:\\dir", 500, False)
self.assertFalse(mock_download.called)
self.assertFalse(val.success)
val = _api.get_output_file("c:\\dir",
500,
False,
url="http://url")
mock_download.assert_called_with(mock_creds,
"http://url",
self.headers,
"c:\\dir",
500,
False,
f_name=None,
block_size=4096,
callback=None)
self.assertTrue(val.success)
val = _api.get_output_file("c:\\dir",
500,
False,
url="http://url",
job_id="test_id",
callback=_callback,
block=1)
mock_download.assert_called_with(mock_creds,
"http://url",
self.headers,
"c:\\dir",
500,
False,
f_name=None,
block_size=1,
callback=_callback)
self.assertTrue(val.success)
mock_url.reset()
mock_download.called = False
val = _api.get_output_file("c:\\dir", 500, False, job_id="test_id")
self.assertFalse(mock_url.called)
self.assertFalse(mock_download.called)
self.assertFalse(val.success)
val = _api.get_output_file("c:\\dir",
500,
False,
job_id="test_id",
fname="test.zip")
self.assertTrue(val.success)
@mock.patch.object(api.rest_client, 'head')
@mock.patch('batchapps.credentials.Configuration')
@mock.patch('batchapps.credentials.Credentials')
@mock.patch.object(BatchAppsApi, 'url')
def test_api_props_output_file(self,
mock_url,
mock_creds,
mock_config,
mock_head):
"""Test props_output_file"""
_api = BatchAppsApi(mock_creds, mock_config)
mock_url.return_value = "https://test.com/{jobid}/{name}"
mock_head.return_value = 0
val = _api.props_output_file()
self.assertFalse(val.success)
self.assertFalse(mock_head.called)
val = _api.props_output_file(job_id="test_abc")
self.assertFalse(val.success)
self.assertFalse(mock_head.called)
val = _api.props_output_file(job_id="test_abc", fname="file.zip")
mock_head.assert_called_with(mock_creds,
"https://test.com/test_abc/file.zip",
self.headers)
self.assertTrue(mock_url.called)
val = _api.props_output_file(job_id="test_abc",
fname="file.zip",
url="http://test")
mock_head.assert_called_with(mock_creds,
"https://test.com/test_abc/file.zip",
self.headers)
self.assertTrue(val.success)
val = _api.props_output_file(url="http://test")
mock_head.assert_called_with(mock_creds,
"http://test",
self.headers)
self.assertTrue(val.success)
mock_head.side_effect = RestCallException(None, "Boom!", None)
val = _api.props_output_file(url="http://test")
self.assertFalse(val.success)
@mock.patch.object(api.rest_client, 'get')
@mock.patch('batchapps.credentials.Configuration')
@mock.patch('batchapps.credentials.Credentials')
@mock.patch.object(BatchAppsApi, 'url')
def test_api_list_tasks(self, mock_url, mock_creds, mock_config, mock_get):
"""Test list_tasks"""
_api = BatchAppsApi(mock_creds, mock_config)
mock_url.return_value = "https://test.com/{jobid}"
mock_get.return_value = {}
val = _api.list_tasks()
self.assertFalse(val.success)
self.assertFalse(mock_get.called)
val = _api.list_tasks(url="http://test")
self.assertFalse(mock_url.called)
self.assertFalse(val.success)
mock_get.assert_called_with(mock_creds, "http://test", self.headers)
mock_get.return_value = {'tasks':None}
val = _api.list_tasks(job_id="test")
mock_get.assert_called_with(mock_creds,
"https://test.com/test",
self.headers)
self.assertFalse(val.success)
mock_get.return_value = {'tasks':[]}
val = _api.list_tasks(job_id="test")
self.assertTrue(val.success)
self.assertEqual(val.result, [])
mock_get.side_effect = RestCallException(None, "Boom!", None)
val = _api.list_tasks(job_id="test")
self.assertFalse(val.success)
@mock.patch.object(api.rest_client, 'get')
@mock.patch('batchapps.credentials.Configuration')
@mock.patch('batchapps.credentials.Credentials')
@mock.patch.object(BatchAppsApi, 'url')
def test_api_list_task_outputs(self,
mock_url,
mock_creds,
mock_config,
mock_get):
"""Test list_task_outputs"""
_api = BatchAppsApi(mock_creds, mock_config)
mock_url.return_value = "https://test.com/{jobid}/{taskid}"
mock_get.return_value = {}
val = _api.list_task_outputs("test_id", None)
mock_get.assert_called_with(mock_creds,
"https://test.com/test_id/None",
self.headers)
self.assertFalse(val.success)
mock_get.return_value = {'outputs':None}
val = _api.list_task_outputs(None, 3)
mock_get.assert_called_with(mock_creds,
"https://test.com/None/3",
self.headers)
self.assertFalse(val.success)
mock_get.return_value = {'outputs':[]}
val = _api.list_task_outputs("test_id", "0")
self.assertTrue(val.success)
self.assertEqual(val.result, [])
mock_get.return_value = {'outputs':[{'name':'output.zip',
'link':{'href':'http://url'},
'kind':'output'}]}
val = _api.list_task_outputs("test_id", 1)
self.assertTrue(val.success)
self.assertEqual(val.result, [{'name':'output.zip',
'link':'http://url',
'type':'output'}])
mock_get.return_value = {'outputs':[{'name':'output.zip'}]}
val = _api.list_task_outputs("test_id", 5)
self.assertTrue(val.success)
self.assertEqual(val.result, [{'name':'output.zip',
'link':None,
'type':None}])
mock_get.side_effect = RestCallException(None, "Boom~", None)
val = _api.list_task_outputs("test_id", -1)
self.assertFalse(val.success)
@mock.patch.object(api.rest_client, 'post')
@mock.patch('batchapps.credentials.Configuration')
@mock.patch('batchapps.credentials.Credentials')
@mock.patch.object(BatchAppsApi, 'url')
def test_api_cancel_task(self,
mock_url,
mock_creds,
mock_config,
mock_post):
"""Test cancel_task"""
_api = BatchAppsApi(mock_creds, mock_config)
mock_url.return_value = "https://test.com/{jobid}/{taskid}"
mock_post.return_value = {}
val = _api.cancel_task("test_id", None)
mock_post.assert_called_with(mock_creds,
"https://test.com/test_id/None",
self.headers)
self.assertTrue(val.success)
mock_post.side_effect = RestCallException(None, "Boom~", None)
val = _api.cancel_task("test_id", 1)
self.assertFalse(val.success)
@mock.patch.object(api.rest_client, 'get')
@mock.patch('batchapps.credentials.Configuration')
@mock.patch('batchapps.credentials.Credentials')
@mock.patch.object(BatchAppsApi, 'url')
def test_api_list_files(self, mock_url, mock_creds, mock_config, mock_get):
"""Test list_files"""
_api = BatchAppsApi(mock_creds, mock_config)
mock_url.return_value = "https://test.com"
mock_get.return_value = {}
val = _api.list_files()
self.assertFalse(val.success)
mock_get.return_value = {'files':None}
val = _api.list_files()
mock_get.assert_called_with(mock_creds,
"https://test.com",
self.headers)
self.assertFalse(val.success)
mock_get.return_value = {'files':[]}
val = _api.list_files()
self.assertTrue(val.success)
self.assertEqual(val.result, [])
mock_get.side_effect = RestCallException(None, "Boom!", None)
val = _api.list_files()
self.assertFalse(val.success)
@mock.patch.object(api.rest_client, 'download')
@mock.patch('batchapps.credentials.Configuration')
@mock.patch('batchapps.credentials.Credentials')
@mock.patch.object(BatchAppsApi, 'url')
def test_api_get_file(self,
mock_url,
mock_creds,
mock_config,
mock_download):
"""Test get_file"""
_callback = mock.Mock()
_api = BatchAppsApi(mock_creds, mock_config)
val = _api.get_file("a", "b", "c")
self.assertFalse(val.success)
self.assertFalse(mock_download.called)
test_file = mock.create_autospec(UserFile)
test_file.url = "http://test"
val = _api.get_file(test_file, 500, "c:\\dir", True)
self.assertTrue(val.success)
mock_download.assert_called_with(mock_creds,
"http://test",
self.headers,
"c:\\dir",
500,
overwrite=True,
block_size=4096,
callback=None)
mock_download.side_effect = RestCallException(None, "test", None)
val = _api.get_file(test_file, 500, "c:\\dir", True, callback=_callback, block=1)
self.assertFalse(val.success)
mock_download.assert_called_with(mock_creds,
"http://test",
self.headers,
"c:\\dir",
500,
overwrite=True,
block_size=1,
callback=_callback)
@mock.patch.object(api.rest_client, 'head')
@mock.patch('batchapps.credentials.Configuration')
@mock.patch('batchapps.credentials.Credentials')
@mock.patch.object(BatchAppsApi, 'url')
def test_api_props_file(self,
mock_url,
mock_creds,
mock_config,
mock_head):
"""Test props_file"""
_api = BatchAppsApi(mock_creds, mock_config)
val = _api.props_file("file")
self.assertFalse(mock_head.called)
self.assertFalse(val.success)
test_file = mock.create_autospec(UserFile)
test_file.url = "http://test"
val = _api.props_file(test_file)
mock_head.assert_called_with(mock_creds, "http://test", self.headers)
self.assertTrue(val.success)
mock_head.side_effect = RestCallException(None, "test", None)
val = _api.props_file(test_file)
self.assertFalse(val.success)
@mock.patch.object(api.rest_client, 'put')
@mock.patch('batchapps.credentials.Configuration')
@mock.patch('batchapps.credentials.Credentials')
@mock.patch.object(BatchAppsApi, 'url')
def test_api_send_file(self,
mock_url,
mock_creds,
mock_config,
mock_put):
"""Test send_file"""
_callback = mock.Mock()
_api = BatchAppsApi(mock_creds, mock_config)
mock_url.return_value = "https://test.com"
val = _api.send_file("file")
self.assertFalse(mock_url.called)
self.assertFalse(val.success)
test_file = mock.create_autospec(UserFile)
test_file.path = "c:\\file.txt"
val = _api.send_file(test_file)
self.assertTrue(test_file.create_query_specifier.called)
spec = {"timestamp": mock.ANY,
"originalFilePath": mock.ANY}
mock_put.assert_called_with(mock_creds,
"https://test.com",
self.headers,
test_file,
spec,
block_size=4096,
callback=None)
self.assertTrue(val.success)
test_file.create_query_specifier.side_effect = FileMissingException("no file")
val = _api.send_file(test_file)
self.assertFalse(val.success)
self.assertEqual(val.result, test_file.create_query_specifier.side_effect)
test_file.create_query_specifier.side_effect = None
mock_put.side_effect = RestCallException(None, "test", None)
val = _api.send_file(test_file, callback=_callback, block=1)
self.assertFalse(val.success)
mock_put.assert_called_with(mock_creds,
"https://test.com",
self.headers,
test_file,
spec,
block_size=1,
callback=_callback)
@mock.patch.object(api.rest_client, 'post')
@mock.patch('batchapps.credentials.Configuration')
@mock.patch('batchapps.credentials.Credentials')
@mock.patch.object(BatchAppsApi, 'url')
def test_api_query_files(self,
mock_url,
mock_creds,
mock_config,
mock_post):
"""Test query_files"""
_api = BatchAppsApi(mock_creds, mock_config)
mock_url.return_value = "http://test.com/{queryby}"
mock_post.return_value = {}
val = _api.query_files(0)
self.assertFalse(val.success)
self.assertFalse(mock_post.called)
val = _api.query_files([0])
self.assertFalse(val.success)
self.assertFalse(mock_post.called)
val = _api.query_files([])
self.assertFalse(val.success)
self.assertFalse(mock_post.called)
val = _api.query_files({})
mock_post.assert_called_with(mock_creds,
"http://test.com/byspecification",
self.headers,
{"Specifications": [{}]})
self.assertFalse(val.success)
val = _api.query_files([{}])
mock_post.assert_called_with(mock_creds,
"http://test.com/byspecification",
self.headers,
{"Specifications": [{}]})
self.assertFalse(val.success)
val = _api.query_files("")
mock_post.assert_called_with(mock_creds,
"http://test.com/byname",
self.headers,
{"Names": [""]})
self.assertFalse(val.success)
val = _api.query_files([""])
mock_post.assert_called_with(mock_creds,
"http://test.com/byname",
self.headers,
{"Names": [""]})
self.assertFalse(val.success)
mock_post.return_value = {'files':None}
val = _api.query_files([""])
self.assertFalse(val.success)
mock_post.return_value = {'files':[]}
val = _api.query_files([""])
self.assertTrue(val.success)
self.assertEqual(val.result, [])
mock_post.side_effect = RestCallException(None, "test", None)
val = _api.query_files([""])
self.assertFalse(val.success)
@mock.patch.object(api.rest_client, 'post')
@mock.patch('batchapps.credentials.Configuration')
@mock.patch('batchapps.credentials.Credentials')
@mock.patch.object(BatchAppsApi, 'url')
def test_api_query_missing_files(self,
mock_url,
mock_creds,
mock_config,
mock_post):
"""Test query_missing_files"""
_api = BatchAppsApi(mock_creds, mock_config)
mock_url.return_value = "http://test.com"
mock_post.return_value = {}
val = _api.query_missing_files("files")
self.assertFalse(val.success)
self.assertFalse(mock_post.called)
val = _api.query_missing_files({})
self.assertFalse(val.success)
mock_post.assert_called_with(mock_creds,
"http://test.com",
self.headers,
{"Specifications":[{}]})
mock_post.reset()
val = _api.query_missing_files([{}])
self.assertFalse(val.success)
mock_post.assert_once_called_with(mock_creds,
"http://test.com",
self.headers,
{"Specifications":[{}]})
mock_post.called = False
val = _api.query_missing_files([])
self.assertFalse(val.success)
self.assertFalse(mock_post.called)
val = _api.query_missing_files([0])
self.assertFalse(val.success)
self.assertFalse(mock_post.called)
mock_post.return_value = {'files':None}
val = _api.query_missing_files({})
self.assertFalse(val.success)
mock_post.return_value = {'files':[]}
val = _api.query_missing_files({})
self.assertTrue(val.success)
self.assertEqual(val.result, [])
mock_post.side_effect = RestCallException(None, "test", None)
val = _api.query_missing_files({})
self.assertFalse(val.success)
@mock.patch.object(api.rest_client, 'post')
@mock.patch('batchapps.credentials.Configuration')
@mock.patch('batchapps.credentials.Credentials')
@mock.patch.object(BatchAppsApi, 'url')
def test_api_add_pool(self, mock_url, mock_creds, mock_config, mock_post):
"""Test add_pool"""
_api = BatchAppsApi(mock_creds, mock_config)
mock_url.return_value = "https://test_endpoint.com/api/pools"
mock_post.return_value = {}
message = {
'targetDedicated': '0',
'maxTasksPerTVM': '1',
'communication': False,
'certificateReferences': []}
val = _api.add_pool()
mock_post.assert_called_with(mock_creds,
"https://test_endpoint.com/api/pools",
self.headers, message)
self.assertFalse(val.success)
mock_post.return_value = {'poolId':'1', 'link':'2'}
val = _api.add_pool()
mock_post.assert_called_with(mock_creds,
"https://test_endpoint.com/api/pools",
self.headers,
message)
self.assertTrue(val.success)
val = _api.add_pool(target_size="test")
self.assertFalse(val.success)
message['targetDedicated'] = '6'
val = _api.add_pool(target_size=6)
mock_post.assert_called_with(mock_creds,
"https://test_endpoint.com/api/pools",
self.headers,
message)
self.assertTrue(val.success)
val = _api.add_pool(certs=[1,2,3,4,5,6,7,8,9,10,11])
message['certificateReferences'] = [1,2,3,4,5,6,7,8,9,10]
message['targetDedicated'] = '0'
mock_post.assert_called_with(mock_creds,
"https://test_endpoint.com/api/pools",
self.headers,
message)
self.assertTrue(val.success)
mock_post.side_effect = RestCallException(None, "Boom~", None)
val = _api.add_pool()
self.assertFalse(val.success)
@mock.patch.object(api.rest_client, 'post')
@mock.patch('batchapps.credentials.Configuration')
@mock.patch('batchapps.credentials.Credentials')
@mock.patch.object(BatchAppsApi, 'url')
def test_api_resize_pool(self, mock_url, mock_creds, mock_config, mock_post):
"""Test resize_pool"""
_api = BatchAppsApi(mock_creds, mock_config)
mock_url.return_value = "https://test_endpoint.com/api/{poolid}/actions/resize"
mock_post.return_value = {}
val = _api.resize_pool("test_id", 5)
mock_post.assert_called_with(mock_creds,
"https://test_endpoint.com/api/test_id/actions/resize",
self.headers,
{'targetDedicated': '5'})
self.assertTrue(val.success)
mock_post.side_effect = RestCallException(None, "Boom~", None)
val = _api.resize_pool("test_id", None)
self.assertFalse(val.success)
@mock.patch.object(api.rest_client, 'get')
@mock.patch('batchapps.credentials.Configuration')
@mock.patch('batchapps.credentials.Credentials')
@mock.patch.object(BatchAppsApi, 'url')
def test_api_get_pool(self, mock_url, mock_creds, mock_config, mock_get):
"""Test get_pool"""
_api = BatchAppsApi(mock_creds, mock_config)
mock_url.return_value = "https://test_endpoint.com/api/pools"
mock_get.return_value = None
val = _api.get_pool()
self.assertIsInstance(val, Response)
self.assertFalse(val.success)
val = _api.get_pool(url="https://pool_url")
mock_get.assert_called_with(mock_creds,
"https://pool_url",
self.headers)
self.assertTrue(val.success)
mock_url.return_value = "https://test_endpoint.com/api/{poolid}"
val = _api.get_pool(pool_id="abcdef")
mock_get.assert_called_with(mock_creds,
"https://test_endpoint.com/api/abcdef",
self.headers)
self.assertTrue(val.success)
self.assertTrue(mock_url.called)
mock_get.side_effect = RestCallException(None, "Boom~", None)
val = _api.get_pool(pool_id="abcdef")
self.assertFalse(val.success)
@mock.patch.object(api.rest_client, 'get')
@mock.patch('batchapps.credentials.Configuration')
@mock.patch('batchapps.credentials.Credentials')
@mock.patch.object(BatchAppsApi, 'url')
def test_api_list_pools(self, mock_url, mock_creds, mock_config, mock_get):
"""Test list_pools"""
_api = BatchAppsApi(mock_creds, mock_config)
mock_url.return_value = "https://test_endpoint.com/api/pools"
val = _api.list_pools()
self.assertIsInstance(val, Response)
self.assertTrue(val.success)
mock_get.assert_called_with(mock_creds,
"https://test_endpoint.com/api/pools",
self.headers)
mock_get.side_effect = RestCallException(None, "Boom!", None)
val = _api.list_pools()
self.assertIsInstance(val, Response)
self.assertFalse(val.success)
@mock.patch.object(api.rest_client, 'delete')
@mock.patch('batchapps.credentials.Configuration')
@mock.patch('batchapps.credentials.Credentials')
@mock.patch.object(BatchAppsApi, 'url')
def test_api_delete_pool(self, mock_url, mock_creds, mock_config, mock_delete):
"""Test delete_pool"""
_api = BatchAppsApi(mock_creds, mock_config)
mock_url.return_value = "https://test_endpoint.com/api/{poolid}"
mock_delete.return_value = {}
val = _api.delete_pool("test_id")
mock_delete.assert_called_with(mock_creds,
"https://test_endpoint.com/api/test_id",
self.headers)
self.assertTrue(val.success)
mock_delete.side_effect = RestCallException(None, "Boom~", None)
val = _api.delete_pool("test_id")
self.assertFalse(val.success)
if __name__ == '__main__':
unittest.main()
| 40.949256 | 92 | 0.531866 | 4,684 | 46,805 | 5.057216 | 0.059351 | 0.028369 | 0.050912 | 0.070711 | 0.884372 | 0.871665 | 0.854863 | 0.825735 | 0.806569 | 0.774274 | 0 | 0.005522 | 0.353872 | 46,805 | 1,142 | 93 | 40.985114 | 0.777759 | 0.039312 | 0 | 0.80088 | 0 | 0 | 0.13724 | 0.044972 | 0 | 0 | 0 | 0 | 0.227723 | 1 | 0.033003 | false | 0 | 0.014301 | 0 | 0.049505 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
fd494d2050807d086a9bd5ab6dae8975c0a99f83 | 119 | py | Python | myApp/filters.py | Eforcers/python-gae-template | 297fd8f92c894571bb05c478c18d954457929902 | [
"Apache-2.0"
] | 1 | 2018-06-21T12:03:52.000Z | 2018-06-21T12:03:52.000Z | myApp/filters.py | Eforcers/python-gae-template | 297fd8f92c894571bb05c478c18d954457929902 | [
"Apache-2.0"
] | null | null | null | myApp/filters.py | Eforcers/python-gae-template | 297fd8f92c894571bb05c478c18d954457929902 | [
"Apache-2.0"
] | null | null | null | import logging
from models import User
def has_profile(email, profiles):
return User.has_profile(email, profiles) | 19.833333 | 44 | 0.789916 | 17 | 119 | 5.411765 | 0.647059 | 0.217391 | 0.326087 | 0.5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.142857 | 119 | 6 | 44 | 19.833333 | 0.901961 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | false | 0 | 0.5 | 0.25 | 1 | 0 | 1 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 9 |
b5f7b9e9e2df8f9f0001f59aa65c9cf13820f391 | 142 | py | Python | pymugen/fasta/__init__.py | agranadosb/pymugen | 0a93fede6edc03d5e23ec0940c109275e864079a | [
"MIT"
] | null | null | null | pymugen/fasta/__init__.py | agranadosb/pymugen | 0a93fede6edc03d5e23ec0940c109275e864079a | [
"MIT"
] | null | null | null | pymugen/fasta/__init__.py | agranadosb/pymugen | 0a93fede6edc03d5e23ec0940c109275e864079a | [
"MIT"
] | null | null | null | from pymugen.fasta.chromosome import Chromosome
from pymugen.fasta.fastaReader import FastaReader
from pymugen.fasta.sequence import Sequence
| 35.5 | 49 | 0.873239 | 18 | 142 | 6.888889 | 0.388889 | 0.266129 | 0.387097 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.084507 | 142 | 3 | 50 | 47.333333 | 0.953846 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
1fbcb2ded146ffcd0886edb6cf18fcf6d83fe625 | 36,799 | py | Python | tests/test.py | hive-metasploit/hive-metasploit | 10e637115f60ca9b89388af3a31d2d943969f5d0 | [
"MIT"
] | 6 | 2021-06-20T19:07:53.000Z | 2021-12-27T08:51:15.000Z | tests/test.py | hive-metasploit/hive-metasploit | 10e637115f60ca9b89388af3a31d2d943969f5d0 | [
"MIT"
] | null | null | null | tests/test.py | hive-metasploit/hive-metasploit | 10e637115f60ca9b89388af3a31d2d943969f5d0 | [
"MIT"
] | 2 | 2021-07-27T22:21:08.000Z | 2021-08-03T00:54:50.000Z | # Description
"""
Unit tests for Hive Metasploit connector
Author: Vladimir Ivanov
License: MIT
Copyright 2021, Hive Metasploit connector
"""
# Import
from unittest import TestCase
from typing import Optional, List
from uuid import UUID
from libmsf import Msf, MsfData
from hive_library import HiveLibrary
from libmsf.rest import MsfRestApi
from hive_library.rest import HiveRestApi
from hive_metasploit import HiveMetasploit, MetasploitRecords
from test_variables import MsfVariablesForTest, HiveVariablesForTest
from time import sleep
from subprocess import getoutput
from os import path
# Authorship information
__author__ = "Vladimir Ivanov"
__copyright__ = "Copyright 2021, Hive Metasploit connector"
__credits__ = [""]
__license__ = "MIT"
__version__ = "0.0.1a2"
__maintainer__ = "Vladimir Ivanov"
__email__ = "ivanov.vladimir.mail@gmail.com"
__status__ = "Development"
# Variables
msf_variables: MsfVariablesForTest = MsfVariablesForTest()
hive_variables: HiveVariablesForTest = HiveVariablesForTest()
msf_records: MetasploitRecords = MetasploitRecords()
msf_api: MsfRestApi = MsfRestApi(
api_key=msf_variables.api_key,
api_url=msf_variables.api_url,
proxy=msf_variables.proxy,
)
hive_api: HiveRestApi = HiveRestApi(
username=hive_variables.username,
password=hive_variables.password,
server=hive_variables.server,
proxy=hive_variables.proxy,
debug=True,
)
hive_metasploit: HiveMetasploit = HiveMetasploit(
msf_api_key=msf_variables.api_key,
msf_api_url=msf_variables.api_url,
hive_username=hive_variables.username,
hive_password=hive_variables.password,
hive_server=hive_variables.server,
proxy=hive_variables.proxy,
)
# Class for tests
class HiveMetasploitTest(TestCase):
# Import data from Metasploit to Hive
def test01_import(self):
# Delete MSF workspace and Hive project
msf_api.delete_workspace(workspace_name=msf_variables.workspace.name)
hive_api.delete_project_by_name(project_name=hive_variables.project.name)
# Create MSF workspace
msf_variables.workspace.id = msf_api.create_workspace(
workspace=msf_variables.workspace
)
self.assertIsNotNone(msf_variables.workspace.id)
self.assertIsInstance(msf_variables.workspace.id, int)
self.assertLess(0, msf_variables.workspace.id)
# Create MSF host
msf_variables.host.id = msf_api.create_host(msf_variables.host)
self.assertIsInstance(msf_variables.host.id, int)
self.assertLess(0, msf_variables.host.id)
# Create MSF service
msf_variables.service.id = msf_api.create_service(msf_variables.service)
self.assertIsInstance(msf_variables.service.id, int)
self.assertLess(0, msf_variables.service.id)
# Create MSF vulnerability
msf_variables.vuln.id = msf_api.create_vuln(msf_variables.vuln)
self.assertIsInstance(msf_variables.vuln.id, int)
self.assertLess(0, msf_variables.vuln.id)
# Create MSF loot
msf_variables.loot.id = msf_api.create_loot(msf_variables.loot)
self.assertIsInstance(msf_variables.loot.id, int)
self.assertLess(0, msf_variables.loot.id)
# Create MSF note
msf_variables.note.id = msf_api.create_note(msf_variables.note)
self.assertIsInstance(msf_variables.note.id, int)
self.assertLess(0, msf_variables.note.id)
# Create MSF credential
msf_variables.cred.workspace_id = msf_variables.workspace.id
msf_variables.cred.id = msf_api.create_cred(msf_variables.cred)
self.assertIsInstance(msf_variables.cred.id, int)
self.assertLess(0, msf_variables.cred.id)
# Create MSF login
msf_variables.login.workspace_id = msf_variables.workspace.id
msf_variables.login.core_id = msf_variables.cred.id
msf_variables.login.id = msf_api.create_login(msf_variables.login)
self.assertIsInstance(msf_variables.login.id, int)
self.assertLess(0, msf_variables.login.id)
# Import data from Metasploit to Hive
hive_objects = hive_metasploit.import_from_metasploit_to_hive(
hive_project_name=hive_variables.project.name,
metasploit_workspace_name=msf_variables.workspace.name,
)
self.assertEqual(len(hive_objects.hosts), 1)
self.assertTrue(hive_objects.hosts[0].import_result)
# Check Hive project is exist
hive_projects: Optional[List[HiveLibrary.Host]] = hive_api.get_projects_list()
self.assertIsInstance(hive_projects, List)
for project in hive_projects:
if project.name == hive_variables.project.name:
hive_variables.project.id = project.id
self.assertIsInstance(hive_variables.project.id, UUID)
# Check Hive host is exist
hive_hosts: Optional[List[HiveLibrary.Host]] = hive_api.get_hosts(
project_id=hive_variables.project.id
)
self.assertEqual(len(hive_hosts), 1)
hive_host = hive_hosts[0]
self.assertIsInstance(hive_host.id, int)
self.assertLess(0, hive_host.id)
self.assertEqual(hive_host.ip, msf_variables.host.address)
vuln_tag_exist: bool = False
cred_tag_exist: bool = False
for tag in hive_host.tags:
if tag.name == f"Vulnerable: {msf_variables.vuln.name}":
vuln_tag_exist = True
if tag.name == f"Credential: {msf_variables.cred.username}":
cred_tag_exist = True
self.assertTrue(vuln_tag_exist)
self.assertTrue(cred_tag_exist)
self.assertEqual(len(hive_host.names), 1)
self.assertEqual(hive_host.names[0].hostname, msf_variables.host.name)
self.assertEqual(len(hive_host.ports), 1)
# Check Hive port is exist
hive_port = hive_host.ports[0]
self.assertEqual(hive_port.port, msf_variables.service.port)
self.assertEqual(hive_port.protocol, msf_variables.service.proto)
self.assertEqual(hive_port.state, msf_variables.service.state)
self.assertEqual(hive_port.service.name, msf_variables.service.name)
self.assertEqual(hive_port.service.product, msf_variables.service.info)
# Check Hive host records
hive_host = hive_api.get_host(
project_id=hive_variables.project.id, host_id=hive_host.id
)
host_record_exist: bool = False
loot_record_exist: bool = False
note_record_exist: bool = False
for record in hive_host.records:
if record.name == msf_records.host:
for value in record.value:
self.assertIn(
value.name,
[
msf_records.Host.__dict__[i]
for i in msf_records.Host.__dict__
],
)
host_record_exist = True
if record.name == msf_records.loot:
for value in record.value:
self.assertIn(
value.name,
[
msf_records.Loot.__dict__[i]
for i in msf_records.Loot.__dict__
],
)
loot_record_exist = True
if record.name == msf_records.note:
for value in record.value:
self.assertIn(
value.name,
[
msf_records.Note.__dict__[i]
for i in msf_records.Note.__dict__
],
)
note_record_exist = True
self.assertTrue(host_record_exist)
self.assertTrue(loot_record_exist)
self.assertTrue(note_record_exist)
# Check Hive port records
hive_port = hive_api.get_port(
project_id=hive_variables.project.id, port_id=hive_port.id
)
cred_record_exist: bool = False
vuln_record_exist: bool = False
for record in hive_port.records:
if record.name == msf_records.cred:
for value in record.value:
self.assertIn(
value.name,
[
msf_records.Cred.__dict__[i]
for i in msf_records.Cred.__dict__
],
)
cred_record_exist = True
if record.name == msf_records.vuln:
for value in record.value:
self.assertIn(
value.name,
[
msf_records.Vuln.__dict__[i]
for i in msf_records.Vuln.__dict__
],
)
vuln_record_exist = True
self.assertTrue(cred_record_exist)
self.assertTrue(vuln_record_exist)
# Check hive credentials
self.assertIsInstance(hive_objects.credentials, List)
self.assertEqual(len(hive_objects.credentials), 1)
hive_credential = hive_objects.credentials[0]
self.assertEqual(hive_credential.assets[0].asset, hive_host.ip)
self.assertEqual(hive_credential.type, hive_variables.credential.type)
self.assertEqual(hive_credential.login, hive_variables.credential.login)
self.assertEqual(hive_credential.value, hive_variables.credential.value)
self.assertEqual(
hive_credential.tags[0].name, hive_variables.credential.tags[0].name
)
# Delete MSF workspace and Hive project
msf_api.delete_workspace(workspace_name=msf_variables.workspace.name)
hive_api.delete_project_by_name(project_name=hive_variables.project.name)
# Export data from Hive to Metasploit
def test02_export(self):
# Delete MSF workspace and Hive project
msf_api.delete_workspace(workspace_name=msf_variables.workspace.name)
hive_api.delete_project_by_name(project_name=hive_variables.project.name)
# Create Hive project
hive_variables.project = hive_api.create_project(project=hive_variables.project)
self.assertIsInstance(hive_variables.project.id, UUID)
# Create Hive host
task_id: Optional[UUID] = hive_api.create_host(
project_id=hive_variables.project.id, host=hive_variables.host
)
self.assertIsInstance(task_id, UUID)
import_task_is_completed: bool = False
for _ in range(30):
if hive_api.task_is_completed(
project_id=hive_variables.project.id, task_id=task_id
):
import_task_is_completed = True
break
else:
sleep(1)
self.assertTrue(import_task_is_completed)
# Export data from Hive to Metasploit
msf_data: MsfData = hive_metasploit.export_from_hive_to_metasploit(
hive_project_name=hive_variables.project.name,
metasploit_workspace_name=msf_variables.workspace.name,
)
self.assertEqual(msf_data.workspace, msf_variables.workspace.name)
self.assertLess(0, len(msf_data.workspaces))
self.assertLess(0, len(msf_data.hosts))
self.assertLess(0, len(msf_data.services))
self.assertLess(0, len(msf_data.vulns))
self.assertLess(0, len(msf_data.loots))
self.assertLess(0, len(msf_data.notes))
self.assertLess(0, len(msf_data.creds))
self.assertLess(0, len(msf_data.logins))
# Check workspace
workspace: Msf.Workspace = msf_data.workspaces[-1]
self.assertNotEqual(workspace.id, -1)
self.assertIsNotNone(workspace.id)
msf_variables.workspace.id = workspace.id
self.assertEqual(workspace.name, msf_variables.workspace.name)
# Check host
host: Msf.Host = msf_data.hosts[0]
self.assertNotEqual(host.id, -1)
self.assertIsNotNone(host.id)
msf_variables.host = msf_api.get_hosts(msf_variables.workspace.name)[0]
self.assertEqual(host.id, msf_variables.host.id)
self.assertEqual(host.workspace, msf_variables.workspace.name)
self.assertEqual(host.address, str(msf_variables.host.address))
self.assertEqual(host.mac, msf_variables.host.mac)
self.assertEqual(host.name, msf_variables.host.name)
self.assertEqual(host.state, msf_variables.host.state)
self.assertEqual(host.os_name, msf_variables.host.os_name)
self.assertEqual(host.os_flavor, msf_variables.host.os_flavor)
self.assertEqual(host.os_sp, msf_variables.host.os_sp)
self.assertEqual(host.os_lang, msf_variables.host.os_lang)
self.assertEqual(host.arch, msf_variables.host.arch)
self.assertEqual(host.purpose, msf_variables.host.purpose)
self.assertEqual(host.info, msf_variables.host.info)
self.assertEqual(host.comments, msf_variables.host.comments)
self.assertEqual(host.scope, msf_variables.host.scope)
self.assertEqual(host.virtual_host, msf_variables.host.virtual_host)
# Check service
service: Msf.Service = msf_data.services[0]
self.assertNotEqual(service.id, -1)
self.assertIsNotNone(service.id)
msf_variables.service = msf_api.get_services(msf_variables.workspace.name)[0]
self.assertEqual(service.id, msf_variables.service.id)
self.assertEqual(service.workspace, msf_variables.workspace.name)
self.assertEqual(service.host, str(msf_variables.host.address))
self.assertEqual(service.port, msf_variables.service.port)
self.assertEqual(service.proto, msf_variables.service.proto)
self.assertEqual(service.state, msf_variables.service.state)
self.assertEqual(service.name, msf_variables.service.name)
self.assertEqual(service.info, msf_variables.service.info)
# Check vulnerability
vuln: Msf.Vuln = msf_data.vulns[0]
self.assertNotEqual(vuln.id, -1)
self.assertIsNotNone(vuln.id)
msf_variables.vuln = msf_api.get_vulns(msf_variables.workspace.name)[0]
self.assertEqual(vuln.id, msf_variables.vuln.id)
self.assertEqual(vuln.workspace, msf_variables.workspace.name)
self.assertEqual(vuln.host, str(msf_variables.host.address))
self.assertEqual(vuln.port, msf_variables.service.port)
self.assertEqual(vuln.name, msf_variables.vuln.name)
self.assertEqual(vuln.info, msf_variables.vuln.info)
self.assertIn(vuln.refs[0], msf_variables.vuln.refs)
self.assertIn(vuln.refs[1], msf_variables.vuln.refs)
# Check loot
loot: Msf.Loot = msf_data.loots[0]
self.assertNotEqual(loot.id, -1)
self.assertIsNotNone(loot.id)
msf_variables.loot = msf_api.get_loots(msf_variables.workspace.name)[0]
self.assertEqual(loot.id, msf_variables.loot.id)
self.assertEqual(loot.workspace, msf_variables.workspace.name)
self.assertEqual(loot.host, str(msf_variables.host.address))
self.assertEqual(loot.data, msf_variables.loot.data)
self.assertEqual(loot.content_type, msf_variables.loot.content_type)
self.assertEqual(loot.name, msf_variables.loot.name)
self.assertEqual(loot.info, msf_variables.loot.info)
self.assertEqual(loot.ltype, msf_variables.loot.ltype)
# Check note
note: Msf.Note = msf_data.notes[0]
self.assertNotEqual(note.id, -1)
self.assertIsNotNone(note.id)
msf_variables.note = msf_api.get_notes(msf_variables.workspace.name)[0]
self.assertEqual(note.id, msf_variables.note.id)
self.assertEqual(note.workspace, msf_variables.workspace.name)
self.assertEqual(note.host, str(msf_variables.host.address))
self.assertEqual(note.ntype, msf_variables.note.ntype)
self.assertEqual(note.data, msf_variables.note.data)
# Check credential
cred: Msf.Cred = msf_data.creds[0]
self.assertNotEqual(cred.id, -1)
self.assertIsNotNone(cred.id)
msf_variables.cred = msf_api.get_creds(msf_variables.workspace.name)[0]
self.assertEqual(cred.id, msf_variables.cred.id)
self.assertEqual(cred.workspace_id, msf_variables.workspace.id)
self.assertEqual(cred.address, str(msf_variables.host.address))
self.assertEqual(cred.port, msf_variables.service.port)
self.assertEqual(cred.protocol, msf_variables.service.proto)
self.assertEqual(cred.service_name, msf_variables.service.name)
self.assertEqual(cred.username, msf_variables.cred.public.username)
self.assertEqual(cred.private_data, msf_variables.cred.private.data)
self.assertIn(cred.private_type.capitalize(), msf_variables.cred.private.type)
self.assertIn(cred.origin_type.capitalize(), msf_variables.cred.origin.type)
self.assertEqual(
cred.module_fullname, msf_variables.cred.origin.module_full_name
)
# Check login
login: Msf.Login = msf_data.logins[-1]
self.assertNotEqual(login.id, -1)
self.assertIsNotNone(login.id)
logins: Optional[List[Msf.Login]] = msf_api.get_logins()
for login in logins:
if login.service_id == msf_variables.service.id:
msf_variables.login = login
break
self.assertEqual(login.id, msf_variables.login.id)
self.assertEqual(login.core_id, msf_variables.cred.id)
self.assertEqual(login.status, "Successful")
msf_api.delete_logins(ids=[login.id])
# Delete MSF workspace and Hive project
msf_api.delete_workspace(workspace_name=msf_variables.workspace.name)
hive_api.delete_project_by_name(project_name=hive_variables.project.name)
# Cli import data from Metasploit to Hive
def test03_cli_import(self):
# Delete MSF workspace and Hive project
msf_api.delete_workspace(workspace_name=msf_variables.workspace.name)
hive_api.delete_project_by_name(project_name=hive_variables.project.name)
# Create MSF workspace
msf_variables.workspace.id = msf_api.create_workspace(
workspace=msf_variables.workspace
)
self.assertIsNotNone(msf_variables.workspace.id)
self.assertIsInstance(msf_variables.workspace.id, int)
self.assertLess(0, msf_variables.workspace.id)
# Create MSF host
msf_variables.host.workspace = msf_variables.workspace.name
msf_variables.host.id = msf_api.create_host(msf_variables.host)
self.assertIsInstance(msf_variables.host.id, int)
self.assertLess(0, msf_variables.host.id)
# Create MSF service
msf_variables.service.host = msf_variables.host.address
msf_variables.service.workspace = msf_variables.workspace.name
msf_variables.service.id = msf_api.create_service(msf_variables.service)
self.assertIsInstance(msf_variables.service.id, int)
self.assertLess(0, msf_variables.service.id)
# Create MSF vulnerability
msf_variables.vuln.host = msf_variables.host.address
msf_variables.vuln.port = msf_variables.service.port
msf_variables.vuln.workspace = msf_variables.workspace.name
msf_variables.vuln.id = msf_api.create_vuln(msf_variables.vuln)
self.assertIsInstance(msf_variables.vuln.id, int)
self.assertLess(0, msf_variables.vuln.id)
# Create MSF loot
msf_variables.loot.host = msf_variables.host.address
msf_variables.loot.workspace = msf_variables.workspace.name
msf_variables.loot.id = msf_api.create_loot(msf_variables.loot)
self.assertIsInstance(msf_variables.loot.id, int)
self.assertLess(0, msf_variables.loot.id)
# Create MSF note
msf_variables.note.host = msf_variables.host.address
msf_variables.note.workspace = msf_variables.workspace.name
msf_variables.note.id = msf_api.create_note(msf_variables.note)
self.assertIsInstance(msf_variables.note.id, int)
self.assertLess(0, msf_variables.note.id)
# Create MSF credential
msf_variables.cred.address = msf_variables.host.address
msf_variables.cred.port = msf_variables.service.port
if isinstance(msf_variables.cred.origin, Msf.Origin):
msf_variables.cred.module_fullname = msf_variables.cred.origin.module_full_name
else:
msf_variables.cred.module_fullname = msf_variables.cred.module_fullname
if isinstance(msf_variables.cred.origin, Msf.Origin):
msf_variables.cred.username = msf_variables.cred.public.username
else:
msf_variables.cred.username = msf_variables.cred.username
if isinstance(msf_variables.cred.origin, Msf.Origin):
msf_variables.cred.private_data = msf_variables.cred.private.data
else:
msf_variables.cred.private_data = msf_variables.cred.private_data
msf_variables.cred.private_type = "password"
msf_variables.cred.service_name = msf_variables.service.name
msf_variables.cred.protocol = msf_variables.service.proto
msf_variables.cred.origin_type = "service"
msf_variables.cred.workspace_id = msf_variables.workspace.id
msf_variables.cred.id = msf_api.create_cred(msf_variables.cred)
self.assertIsInstance(msf_variables.cred.id, int)
self.assertLess(0, msf_variables.cred.id)
# Create MSF login
msf_variables.login.address = msf_variables.host.address
msf_variables.login.port = msf_variables.service.port
msf_variables.login.service_name = msf_variables.service.name
msf_variables.login.protocol = msf_variables.service.proto
msf_variables.login.workspace_id = msf_variables.workspace.id
msf_variables.login.core_id = msf_variables.cred.id
msf_variables.login.id = msf_api.create_login(msf_variables.login)
self.assertIsInstance(msf_variables.login.id, int)
self.assertLess(0, msf_variables.login.id)
# Cli import data from Metasploit to Hive
dir: str = path.dirname(path.dirname(path.realpath(__file__)))
python: str = "~/.pyenv/versions/3.6.13/bin/python3.6"
cli: str = f"{python} {path.join(dir, 'hive_metasploit_cli.py')} "
cli += f"-hn {hive_variables.project.name} "
cli += f"-mw {msf_variables.workspace.name} "
cli += f"--proxy {msf_variables.proxy} "
cli += "-I"
out: str = getoutput(cli)
print(out)
self.assertIn(hive_variables.project.name, out)
self.assertIn(msf_variables.workspace.name, out)
self.assertIn(str(msf_variables.host.address), out)
self.assertIn(str(msf_variables.cred.username), out)
self.assertIn(str(msf_variables.cred.private_data), out)
self.assertIn(str(msf_variables.cred.private_type), out)
# Check Hive project is exist
hive_projects: Optional[List[HiveLibrary.Host]] = hive_api.get_projects_list()
self.assertIsInstance(hive_projects, List)
for project in hive_projects:
if project.name == hive_variables.project.name:
hive_variables.project.id = project.id
self.assertIsInstance(hive_variables.project.id, UUID)
# Check Hive host is exist
hive_hosts: Optional[List[HiveLibrary.Host]] = hive_api.get_hosts(
project_id=hive_variables.project.id
)
self.assertEqual(len(hive_hosts), 1)
hive_host = hive_hosts[0]
self.assertIsInstance(hive_host.id, int)
self.assertLess(0, hive_host.id)
self.assertEqual(hive_host.ip, msf_variables.host.address)
vuln_tag_exist: bool = False
cred_tag_exist: bool = False
for tag in hive_host.tags:
if tag.name == f"Vulnerable: {msf_variables.vuln.name}":
vuln_tag_exist = True
if tag.name == f"Credential: {msf_variables.cred.username}":
cred_tag_exist = True
self.assertTrue(vuln_tag_exist)
self.assertTrue(cred_tag_exist)
self.assertEqual(len(hive_host.names), 1)
self.assertEqual(hive_host.names[0].hostname, msf_variables.host.name)
self.assertEqual(len(hive_host.ports), 1)
# Check Hive port is exist
hive_port = hive_host.ports[0]
self.assertEqual(hive_port.port, msf_variables.service.port)
self.assertEqual(hive_port.protocol, msf_variables.service.proto)
self.assertEqual(hive_port.state, msf_variables.service.state)
self.assertEqual(hive_port.service.name, msf_variables.service.name)
self.assertEqual(hive_port.service.product, msf_variables.service.info)
# Check Hive host records
hive_host = hive_api.get_host(
project_id=hive_variables.project.id, host_id=hive_host.id
)
host_record_exist: bool = False
loot_record_exist: bool = False
note_record_exist: bool = False
for record in hive_host.records:
if record.name == msf_records.host:
for value in record.value:
self.assertIn(
value.name,
[
msf_records.Host.__dict__[i]
for i in msf_records.Host.__dict__
],
)
host_record_exist = True
if record.name == msf_records.loot:
for value in record.value:
self.assertIn(
value.name,
[
msf_records.Loot.__dict__[i]
for i in msf_records.Loot.__dict__
],
)
loot_record_exist = True
if record.name == msf_records.note:
for value in record.value:
self.assertIn(
value.name,
[
msf_records.Note.__dict__[i]
for i in msf_records.Note.__dict__
],
)
note_record_exist = True
self.assertTrue(host_record_exist)
self.assertTrue(loot_record_exist)
self.assertTrue(note_record_exist)
# Check Hive port records
hive_port = hive_api.get_port(
project_id=hive_variables.project.id, port_id=hive_port.id
)
cred_record_exist: bool = False
vuln_record_exist: bool = False
for record in hive_port.records:
if record.name == msf_records.cred:
for value in record.value:
self.assertIn(
value.name,
["Username", "Module", "Password", "Credentials private type"],
)
cred_record_exist = True
if record.name == msf_records.vuln:
for value in record.value:
self.assertIn(
value.name,
[
msf_records.Vuln.__dict__[i]
for i in msf_records.Vuln.__dict__
],
)
vuln_record_exist = True
self.assertTrue(cred_record_exist)
self.assertTrue(vuln_record_exist)
# Check hive credentials
hive_credentials: Optional[List[HiveLibrary.Credential]] = hive_api.get_credentials(
project_id=hive_variables.project.id
)
self.assertIsInstance(hive_credentials, List)
self.assertEqual(len(hive_credentials), 1)
hive_credential = hive_credentials[0]
self.assertEqual(hive_credential.assets[0].asset, hive_host.ip)
self.assertEqual(hive_credential.type, hive_variables.credential.type)
self.assertEqual(hive_credential.login, hive_variables.credential.login)
self.assertEqual(hive_credential.value, hive_variables.credential.value)
self.assertEqual(
hive_credential.tags[0].name, hive_variables.credential.tags[0].name
)
# Delete MSF workspace and Hive project
msf_api.delete_workspace(workspace_name=msf_variables.workspace.name)
hive_api.delete_project_by_name(project_name=hive_variables.project.name)
# Cli export data from Hive to Metasploit
def test04_cli_export(self):
# Delete MSF workspace and Hive project
msf_api.delete_workspace(workspace_name=msf_variables.workspace.name)
hive_api.delete_project_by_name(project_name=hive_variables.project.name)
# Create Hive project
hive_variables.project = hive_api.create_project(project=hive_variables.project)
self.assertIsInstance(hive_variables.project.id, UUID)
# Create Hive host
task_id: Optional[UUID] = hive_api.create_host(
project_id=hive_variables.project.id, host=hive_variables.host
)
self.assertIsInstance(task_id, UUID)
import_task_is_completed: bool = False
for _ in range(30):
if hive_api.task_is_completed(
project_id=hive_variables.project.id, task_id=task_id
):
import_task_is_completed = True
break
else:
sleep(1)
self.assertTrue(import_task_is_completed)
# Cli import data from Metasploit to Hive
dir: str = path.dirname(path.dirname(path.realpath(__file__)))
python: str = "~/.pyenv/versions/3.6.13/bin/python3.6"
cli: str = f"{python} {path.join(dir, 'hive_metasploit_cli.py')} "
cli += f"-hn {hive_variables.project.name} "
cli += f"-mw {msf_variables.workspace.name} "
cli += f"--proxy {msf_variables.proxy} "
cli += "-E"
out: str = getoutput(cli)
print(out)
self.assertIn(hive_variables.project.name, out)
self.assertIn(msf_variables.workspace.name, out)
self.assertIn(str(msf_variables.host.address), out)
self.assertIn(str(msf_variables.service.port), out)
self.assertIn(str(msf_variables.service.proto), out)
self.assertIn(str(msf_variables.vuln.name), out)
self.assertIn(str(msf_variables.vuln.refs[0]), out)
self.assertIn(str(path.dirname(msf_variables.loot.path)), out)
self.assertIn(str(msf_variables.loot.ltype), out)
self.assertIn(str(msf_variables.note.data), out)
self.assertIn(str(msf_variables.cred.username), out)
self.assertIn(str(msf_variables.cred.private_data), out)
msf_data: MsfData = msf_api.get_all_data(workspace=msf_variables.workspace.name)
# Check workspace
workspace = Msf.Workspace()
for created_workspace in msf_data.workspaces:
if created_workspace.name == msf_data.workspace:
workspace = created_workspace
break
self.assertNotEqual(workspace.id, -1)
self.assertIsNotNone(workspace.id)
msf_variables.workspace.id = workspace.id
self.assertEqual(workspace.name, msf_variables.workspace.name)
# Check host
host: Msf.Host = msf_data.hosts[0]
self.assertNotEqual(host.id, -1)
self.assertIsNotNone(host.id)
msf_variables.host = msf_api.get_hosts(msf_variables.workspace.name)[0]
self.assertEqual(host.id, msf_variables.host.id)
self.assertEqual(host.workspace_id, msf_variables.workspace.id)
self.assertEqual(host.address, msf_variables.host.address)
self.assertEqual(host.mac, msf_variables.host.mac)
self.assertEqual(host.name, msf_variables.host.name)
self.assertEqual(host.state, msf_variables.host.state)
self.assertEqual(host.os_name, msf_variables.host.os_name)
self.assertEqual(host.os_flavor, msf_variables.host.os_flavor)
self.assertEqual(host.os_sp, msf_variables.host.os_sp)
self.assertEqual(host.os_lang, msf_variables.host.os_lang)
self.assertEqual(host.arch, msf_variables.host.arch)
self.assertEqual(host.purpose, msf_variables.host.purpose)
self.assertEqual(host.info, msf_variables.host.info)
self.assertEqual(host.comments, msf_variables.host.comments)
self.assertEqual(host.scope, msf_variables.host.scope)
self.assertEqual(host.virtual_host, msf_variables.host.virtual_host)
# Check service
service: Msf.Service = msf_data.services[0]
self.assertNotEqual(service.id, -1)
self.assertIsNotNone(service.id)
msf_variables.service = msf_api.get_services(msf_variables.workspace.name)[0]
self.assertEqual(service.id, msf_variables.service.id)
self.assertEqual(service.host.address, msf_variables.host.address)
self.assertEqual(service.port, msf_variables.service.port)
self.assertEqual(service.proto, msf_variables.service.proto)
self.assertEqual(service.state, msf_variables.service.state)
self.assertEqual(service.name, msf_variables.service.name)
self.assertEqual(service.info, msf_variables.service.info)
# Check vulnerability
vuln: Msf.Vuln = msf_data.vulns[0]
self.assertNotEqual(vuln.id, -1)
self.assertIsNotNone(vuln.id)
msf_variables.vuln = msf_api.get_vulns(msf_variables.workspace.name)[0]
self.assertEqual(vuln.id, msf_variables.vuln.id)
self.assertEqual(vuln.host.address, msf_variables.host.address)
self.assertEqual(vuln.service_id, msf_variables.service.id)
self.assertEqual(vuln.name, msf_variables.vuln.name)
self.assertEqual(vuln.info, msf_variables.vuln.info)
self.assertIn(vuln.refs[0], msf_variables.vuln.refs)
self.assertIn(vuln.refs[1], msf_variables.vuln.refs)
# Check loot
loot: Msf.Loot = msf_data.loots[0]
self.assertNotEqual(loot.id, -1)
self.assertIsNotNone(loot.id)
msf_variables.loot = msf_api.get_loots(msf_variables.workspace.name)[0]
self.assertEqual(loot.id, msf_variables.loot.id)
self.assertEqual(loot.host.address, msf_variables.host.address)
self.assertEqual(loot.data, msf_variables.loot.data)
self.assertEqual(loot.content_type, msf_variables.loot.content_type)
self.assertEqual(loot.name, msf_variables.loot.name)
self.assertEqual(loot.info, msf_variables.loot.info)
self.assertEqual(loot.ltype, msf_variables.loot.ltype)
# Check note
note: Msf.Note = msf_data.notes[0]
self.assertNotEqual(note.id, -1)
self.assertIsNotNone(note.id)
msf_variables.note = msf_api.get_notes(msf_variables.workspace.name)[0]
self.assertEqual(note.id, msf_variables.note.id)
self.assertEqual(note.host.address, msf_variables.host.address)
self.assertEqual(note.ntype, msf_variables.note.ntype)
self.assertEqual(note.data, msf_variables.note.data)
# Check credential
cred: Msf.Cred = msf_data.creds[0]
self.assertNotEqual(cred.id, -1)
self.assertIsNotNone(cred.id)
msf_variables.cred = msf_api.get_creds(msf_variables.workspace.name)[0]
self.assertEqual(cred.id, msf_variables.cred.id)
self.assertEqual(cred.workspace_id, msf_variables.workspace.id)
self.assertEqual(cred.origin.service_id, msf_variables.service.id)
self.assertEqual(cred.public.username, msf_variables.cred.public.username)
self.assertEqual(cred.private.data, msf_variables.cred.private.data)
self.assertIn(cred.private.type, msf_variables.cred.private.type)
self.assertEqual(
cred.origin.module_full_name, msf_variables.cred.origin.module_full_name
)
# Check login
login: Msf.Login = msf_data.logins[-1]
self.assertNotEqual(login.id, -1)
self.assertIsNotNone(login.id)
logins: Optional[List[Msf.Login]] = msf_api.get_logins()
for login in logins:
if login.service_id == msf_variables.service.id:
msf_variables.login = login
break
self.assertEqual(login.id, msf_variables.login.id)
self.assertEqual(login.core_id, msf_variables.cred.id)
self.assertEqual(login.status, "Successful")
msf_api.delete_logins(ids=[login.id])
# Delete MSF workspace and Hive project
msf_api.delete_workspace(workspace_name=msf_variables.workspace.name)
hive_api.delete_project_by_name(project_name=hive_variables.project.name)
| 45.99875 | 92 | 0.664964 | 4,458 | 36,799 | 5.255944 | 0.044415 | 0.16747 | 0.042337 | 0.042679 | 0.922197 | 0.906107 | 0.876488 | 0.820238 | 0.792198 | 0.791217 | 0 | 0.004887 | 0.243757 | 36,799 | 799 | 93 | 46.05632 | 0.837076 | 0.046088 | 0 | 0.727964 | 0 | 0 | 0.021155 | 0.012162 | 0 | 0 | 0 | 0 | 0.424012 | 1 | 0.006079 | false | 0.006079 | 0.033435 | 0 | 0.041033 | 0.00304 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
1f617102639eaff44e79cc7eefe27892464a86b0 | 35,647 | py | Python | lib/googlecloudsdk/third_party/apis/orgpolicy/v2/orgpolicy_v2_client.py | google-cloud-sdk-unofficial/google-cloud-sdk | 2a48a04df14be46c8745050f98768e30474a1aac | [
"Apache-2.0"
] | 2 | 2019-11-10T09:17:07.000Z | 2019-12-18T13:44:08.000Z | lib/googlecloudsdk/third_party/apis/orgpolicy/v2/orgpolicy_v2_client.py | google-cloud-sdk-unofficial/google-cloud-sdk | 2a48a04df14be46c8745050f98768e30474a1aac | [
"Apache-2.0"
] | null | null | null | lib/googlecloudsdk/third_party/apis/orgpolicy/v2/orgpolicy_v2_client.py | google-cloud-sdk-unofficial/google-cloud-sdk | 2a48a04df14be46c8745050f98768e30474a1aac | [
"Apache-2.0"
] | 1 | 2020-07-25T01:40:19.000Z | 2020-07-25T01:40:19.000Z | """Generated client library for orgpolicy version v2."""
# NOTE: This file is autogenerated and should not be edited by hand.
from __future__ import absolute_import
from apitools.base.py import base_api
from googlecloudsdk.third_party.apis.orgpolicy.v2 import orgpolicy_v2_messages as messages
class OrgpolicyV2(base_api.BaseApiClient):
"""Generated client library for service orgpolicy version v2."""
MESSAGES_MODULE = messages
BASE_URL = 'https://orgpolicy.googleapis.com/'
MTLS_BASE_URL = 'https://orgpolicy.mtls.googleapis.com/'
_PACKAGE = 'orgpolicy'
_SCOPES = ['https://www.googleapis.com/auth/cloud-platform']
_VERSION = 'v2'
_CLIENT_ID = '1042881264118.apps.googleusercontent.com'
_CLIENT_SECRET = 'x_Tw5K8nnjoRAqULM9PFAC2b'
_USER_AGENT = 'google-cloud-sdk'
_CLIENT_CLASS_NAME = 'OrgpolicyV2'
_URL_VERSION = 'v2'
_API_KEY = None
def __init__(self, url='', credentials=None,
get_credentials=True, http=None, model=None,
log_request=False, log_response=False,
credentials_args=None, default_global_params=None,
additional_http_headers=None, response_encoding=None):
"""Create a new orgpolicy handle."""
url = url or self.BASE_URL
super(OrgpolicyV2, self).__init__(
url, credentials=credentials,
get_credentials=get_credentials, http=http, model=model,
log_request=log_request, log_response=log_response,
credentials_args=credentials_args,
default_global_params=default_global_params,
additional_http_headers=additional_http_headers,
response_encoding=response_encoding)
self.folders_constraints = self.FoldersConstraintsService(self)
self.folders_policies = self.FoldersPoliciesService(self)
self.folders = self.FoldersService(self)
self.organizations_constraints = self.OrganizationsConstraintsService(self)
self.organizations_customConstraints = self.OrganizationsCustomConstraintsService(self)
self.organizations_policies = self.OrganizationsPoliciesService(self)
self.organizations = self.OrganizationsService(self)
self.projects_constraints = self.ProjectsConstraintsService(self)
self.projects_policies = self.ProjectsPoliciesService(self)
self.projects = self.ProjectsService(self)
class FoldersConstraintsService(base_api.BaseApiService):
"""Service class for the folders_constraints resource."""
_NAME = 'folders_constraints'
def __init__(self, client):
super(OrgpolicyV2.FoldersConstraintsService, self).__init__(client)
self._upload_configs = {
}
def List(self, request, global_params=None):
r"""Lists `Constraints` that could be applied on the specified resource.
Args:
request: (OrgpolicyFoldersConstraintsListRequest) input message
global_params: (StandardQueryParameters, default: None) global arguments
Returns:
(GoogleCloudOrgpolicyV2ListConstraintsResponse) The response message.
"""
config = self.GetMethodConfig('List')
return self._RunMethod(
config, request, global_params=global_params)
List.method_config = lambda: base_api.ApiMethodInfo(
flat_path='v2/folders/{foldersId}/constraints',
http_method='GET',
method_id='orgpolicy.folders.constraints.list',
ordered_params=['parent'],
path_params=['parent'],
query_params=['pageSize', 'pageToken'],
relative_path='v2/{+parent}/constraints',
request_field='',
request_type_name='OrgpolicyFoldersConstraintsListRequest',
response_type_name='GoogleCloudOrgpolicyV2ListConstraintsResponse',
supports_download=False,
)
class FoldersPoliciesService(base_api.BaseApiService):
"""Service class for the folders_policies resource."""
_NAME = 'folders_policies'
def __init__(self, client):
super(OrgpolicyV2.FoldersPoliciesService, self).__init__(client)
self._upload_configs = {
}
def Create(self, request, global_params=None):
r"""Creates a Policy. Returns a `google.rpc.Status` with `google.rpc.Code.NOT_FOUND` if the constraint does not exist. Returns a `google.rpc.Status` with `google.rpc.Code.ALREADY_EXISTS` if the policy already exists on the given Cloud resource.
Args:
request: (OrgpolicyFoldersPoliciesCreateRequest) input message
global_params: (StandardQueryParameters, default: None) global arguments
Returns:
(GoogleCloudOrgpolicyV2Policy) The response message.
"""
config = self.GetMethodConfig('Create')
return self._RunMethod(
config, request, global_params=global_params)
Create.method_config = lambda: base_api.ApiMethodInfo(
flat_path='v2/folders/{foldersId}/policies',
http_method='POST',
method_id='orgpolicy.folders.policies.create',
ordered_params=['parent'],
path_params=['parent'],
query_params=[],
relative_path='v2/{+parent}/policies',
request_field='googleCloudOrgpolicyV2Policy',
request_type_name='OrgpolicyFoldersPoliciesCreateRequest',
response_type_name='GoogleCloudOrgpolicyV2Policy',
supports_download=False,
)
def Delete(self, request, global_params=None):
r"""Deletes a Policy. Returns a `google.rpc.Status` with `google.rpc.Code.NOT_FOUND` if the constraint or Org Policy does not exist.
Args:
request: (OrgpolicyFoldersPoliciesDeleteRequest) input message
global_params: (StandardQueryParameters, default: None) global arguments
Returns:
(GoogleProtobufEmpty) The response message.
"""
config = self.GetMethodConfig('Delete')
return self._RunMethod(
config, request, global_params=global_params)
Delete.method_config = lambda: base_api.ApiMethodInfo(
flat_path='v2/folders/{foldersId}/policies/{policiesId}',
http_method='DELETE',
method_id='orgpolicy.folders.policies.delete',
ordered_params=['name'],
path_params=['name'],
query_params=[],
relative_path='v2/{+name}',
request_field='',
request_type_name='OrgpolicyFoldersPoliciesDeleteRequest',
response_type_name='GoogleProtobufEmpty',
supports_download=False,
)
def Get(self, request, global_params=None):
r"""Gets a `Policy` on a resource. If no `Policy` is set on the resource, NOT_FOUND is returned. The `etag` value can be used with `UpdatePolicy()` to update a `Policy` during read-modify-write.
Args:
request: (OrgpolicyFoldersPoliciesGetRequest) input message
global_params: (StandardQueryParameters, default: None) global arguments
Returns:
(GoogleCloudOrgpolicyV2Policy) The response message.
"""
config = self.GetMethodConfig('Get')
return self._RunMethod(
config, request, global_params=global_params)
Get.method_config = lambda: base_api.ApiMethodInfo(
flat_path='v2/folders/{foldersId}/policies/{policiesId}',
http_method='GET',
method_id='orgpolicy.folders.policies.get',
ordered_params=['name'],
path_params=['name'],
query_params=[],
relative_path='v2/{+name}',
request_field='',
request_type_name='OrgpolicyFoldersPoliciesGetRequest',
response_type_name='GoogleCloudOrgpolicyV2Policy',
supports_download=False,
)
def GetEffectivePolicy(self, request, global_params=None):
r"""Gets the effective `Policy` on a resource. This is the result of merging `Policies` in the resource hierarchy and evaluating conditions. The returned `Policy` will not have an `etag` or `condition` set because it is a computed `Policy` across multiple resources. Subtrees of Resource Manager resource hierarchy with 'under:' prefix will not be expanded.
Args:
request: (OrgpolicyFoldersPoliciesGetEffectivePolicyRequest) input message
global_params: (StandardQueryParameters, default: None) global arguments
Returns:
(GoogleCloudOrgpolicyV2Policy) The response message.
"""
config = self.GetMethodConfig('GetEffectivePolicy')
return self._RunMethod(
config, request, global_params=global_params)
GetEffectivePolicy.method_config = lambda: base_api.ApiMethodInfo(
flat_path='v2/folders/{foldersId}/policies/{policiesId}:getEffectivePolicy',
http_method='GET',
method_id='orgpolicy.folders.policies.getEffectivePolicy',
ordered_params=['name'],
path_params=['name'],
query_params=[],
relative_path='v2/{+name}:getEffectivePolicy',
request_field='',
request_type_name='OrgpolicyFoldersPoliciesGetEffectivePolicyRequest',
response_type_name='GoogleCloudOrgpolicyV2Policy',
supports_download=False,
)
def List(self, request, global_params=None):
r"""Retrieves all of the `Policies` that exist on a particular resource.
Args:
request: (OrgpolicyFoldersPoliciesListRequest) input message
global_params: (StandardQueryParameters, default: None) global arguments
Returns:
(GoogleCloudOrgpolicyV2ListPoliciesResponse) The response message.
"""
config = self.GetMethodConfig('List')
return self._RunMethod(
config, request, global_params=global_params)
List.method_config = lambda: base_api.ApiMethodInfo(
flat_path='v2/folders/{foldersId}/policies',
http_method='GET',
method_id='orgpolicy.folders.policies.list',
ordered_params=['parent'],
path_params=['parent'],
query_params=['pageSize', 'pageToken'],
relative_path='v2/{+parent}/policies',
request_field='',
request_type_name='OrgpolicyFoldersPoliciesListRequest',
response_type_name='GoogleCloudOrgpolicyV2ListPoliciesResponse',
supports_download=False,
)
def Patch(self, request, global_params=None):
r"""Updates a Policy. Returns a `google.rpc.Status` with `google.rpc.Code.NOT_FOUND` if the constraint or the policy do not exist. Returns a `google.rpc.Status` with `google.rpc.Code.ABORTED` if the etag supplied in the request does not match the persisted etag of the policy Note: the supplied policy will perform a full overwrite of all fields.
Args:
request: (GoogleCloudOrgpolicyV2Policy) input message
global_params: (StandardQueryParameters, default: None) global arguments
Returns:
(GoogleCloudOrgpolicyV2Policy) The response message.
"""
config = self.GetMethodConfig('Patch')
return self._RunMethod(
config, request, global_params=global_params)
Patch.method_config = lambda: base_api.ApiMethodInfo(
flat_path='v2/folders/{foldersId}/policies/{policiesId}',
http_method='PATCH',
method_id='orgpolicy.folders.policies.patch',
ordered_params=['name'],
path_params=['name'],
query_params=[],
relative_path='v2/{+name}',
request_field='<request>',
request_type_name='GoogleCloudOrgpolicyV2Policy',
response_type_name='GoogleCloudOrgpolicyV2Policy',
supports_download=False,
)
class FoldersService(base_api.BaseApiService):
"""Service class for the folders resource."""
_NAME = 'folders'
def __init__(self, client):
super(OrgpolicyV2.FoldersService, self).__init__(client)
self._upload_configs = {
}
class OrganizationsConstraintsService(base_api.BaseApiService):
"""Service class for the organizations_constraints resource."""
_NAME = 'organizations_constraints'
def __init__(self, client):
super(OrgpolicyV2.OrganizationsConstraintsService, self).__init__(client)
self._upload_configs = {
}
def List(self, request, global_params=None):
r"""Lists `Constraints` that could be applied on the specified resource.
Args:
request: (OrgpolicyOrganizationsConstraintsListRequest) input message
global_params: (StandardQueryParameters, default: None) global arguments
Returns:
(GoogleCloudOrgpolicyV2ListConstraintsResponse) The response message.
"""
config = self.GetMethodConfig('List')
return self._RunMethod(
config, request, global_params=global_params)
List.method_config = lambda: base_api.ApiMethodInfo(
flat_path='v2/organizations/{organizationsId}/constraints',
http_method='GET',
method_id='orgpolicy.organizations.constraints.list',
ordered_params=['parent'],
path_params=['parent'],
query_params=['pageSize', 'pageToken'],
relative_path='v2/{+parent}/constraints',
request_field='',
request_type_name='OrgpolicyOrganizationsConstraintsListRequest',
response_type_name='GoogleCloudOrgpolicyV2ListConstraintsResponse',
supports_download=False,
)
class OrganizationsCustomConstraintsService(base_api.BaseApiService):
"""Service class for the organizations_customConstraints resource."""
_NAME = 'organizations_customConstraints'
def __init__(self, client):
super(OrgpolicyV2.OrganizationsCustomConstraintsService, self).__init__(client)
self._upload_configs = {
}
def Create(self, request, global_params=None):
r"""Creates a CustomConstraint. Returns a `google.rpc.Status` with `google.rpc.Code.NOT_FOUND` if the organization does not exist. Returns a `google.rpc.Status` with `google.rpc.Code.ALREADY_EXISTS` if the constraint already exists on the given organization.
Args:
request: (OrgpolicyOrganizationsCustomConstraintsCreateRequest) input message
global_params: (StandardQueryParameters, default: None) global arguments
Returns:
(GoogleCloudOrgpolicyV2CustomConstraint) The response message.
"""
config = self.GetMethodConfig('Create')
return self._RunMethod(
config, request, global_params=global_params)
Create.method_config = lambda: base_api.ApiMethodInfo(
flat_path='v2/organizations/{organizationsId}/customConstraints',
http_method='POST',
method_id='orgpolicy.organizations.customConstraints.create',
ordered_params=['parent'],
path_params=['parent'],
query_params=[],
relative_path='v2/{+parent}/customConstraints',
request_field='googleCloudOrgpolicyV2CustomConstraint',
request_type_name='OrgpolicyOrganizationsCustomConstraintsCreateRequest',
response_type_name='GoogleCloudOrgpolicyV2CustomConstraint',
supports_download=False,
)
def Get(self, request, global_params=None):
r"""Gets a CustomConstraint. Returns a `google.rpc.Status` with `google.rpc.Code.NOT_FOUND` if the CustomConstraint does not exist.
Args:
request: (OrgpolicyOrganizationsCustomConstraintsGetRequest) input message
global_params: (StandardQueryParameters, default: None) global arguments
Returns:
(GoogleCloudOrgpolicyV2CustomConstraint) The response message.
"""
config = self.GetMethodConfig('Get')
return self._RunMethod(
config, request, global_params=global_params)
Get.method_config = lambda: base_api.ApiMethodInfo(
flat_path='v2/organizations/{organizationsId}/customConstraints/{customConstraintsId}',
http_method='GET',
method_id='orgpolicy.organizations.customConstraints.get',
ordered_params=['name'],
path_params=['name'],
query_params=[],
relative_path='v2/{+name}',
request_field='',
request_type_name='OrgpolicyOrganizationsCustomConstraintsGetRequest',
response_type_name='GoogleCloudOrgpolicyV2CustomConstraint',
supports_download=False,
)
def List(self, request, global_params=None):
r"""Retrieves all of the `CustomConstraints` that exist on a particular organization resource.
Args:
request: (OrgpolicyOrganizationsCustomConstraintsListRequest) input message
global_params: (StandardQueryParameters, default: None) global arguments
Returns:
(GoogleCloudOrgpolicyV2ListCustomConstraintsResponse) The response message.
"""
config = self.GetMethodConfig('List')
return self._RunMethod(
config, request, global_params=global_params)
List.method_config = lambda: base_api.ApiMethodInfo(
flat_path='v2/organizations/{organizationsId}/customConstraints',
http_method='GET',
method_id='orgpolicy.organizations.customConstraints.list',
ordered_params=['parent'],
path_params=['parent'],
query_params=['pageSize', 'pageToken'],
relative_path='v2/{+parent}/customConstraints',
request_field='',
request_type_name='OrgpolicyOrganizationsCustomConstraintsListRequest',
response_type_name='GoogleCloudOrgpolicyV2ListCustomConstraintsResponse',
supports_download=False,
)
def Patch(self, request, global_params=None):
r"""Updates a Custom Constraint. Returns a `google.rpc.Status` with `google.rpc.Code.NOT_FOUND` if the constraint does not exist. Note: the supplied policy will perform a full overwrite of all fields.
Args:
request: (GoogleCloudOrgpolicyV2CustomConstraint) input message
global_params: (StandardQueryParameters, default: None) global arguments
Returns:
(GoogleCloudOrgpolicyV2CustomConstraint) The response message.
"""
config = self.GetMethodConfig('Patch')
return self._RunMethod(
config, request, global_params=global_params)
Patch.method_config = lambda: base_api.ApiMethodInfo(
flat_path='v2/organizations/{organizationsId}/customConstraints/{customConstraintsId}',
http_method='PATCH',
method_id='orgpolicy.organizations.customConstraints.patch',
ordered_params=['name'],
path_params=['name'],
query_params=[],
relative_path='v2/{+name}',
request_field='<request>',
request_type_name='GoogleCloudOrgpolicyV2CustomConstraint',
response_type_name='GoogleCloudOrgpolicyV2CustomConstraint',
supports_download=False,
)
class OrganizationsPoliciesService(base_api.BaseApiService):
"""Service class for the organizations_policies resource."""
_NAME = 'organizations_policies'
def __init__(self, client):
super(OrgpolicyV2.OrganizationsPoliciesService, self).__init__(client)
self._upload_configs = {
}
def Create(self, request, global_params=None):
r"""Creates a Policy. Returns a `google.rpc.Status` with `google.rpc.Code.NOT_FOUND` if the constraint does not exist. Returns a `google.rpc.Status` with `google.rpc.Code.ALREADY_EXISTS` if the policy already exists on the given Cloud resource.
Args:
request: (OrgpolicyOrganizationsPoliciesCreateRequest) input message
global_params: (StandardQueryParameters, default: None) global arguments
Returns:
(GoogleCloudOrgpolicyV2Policy) The response message.
"""
config = self.GetMethodConfig('Create')
return self._RunMethod(
config, request, global_params=global_params)
Create.method_config = lambda: base_api.ApiMethodInfo(
flat_path='v2/organizations/{organizationsId}/policies',
http_method='POST',
method_id='orgpolicy.organizations.policies.create',
ordered_params=['parent'],
path_params=['parent'],
query_params=[],
relative_path='v2/{+parent}/policies',
request_field='googleCloudOrgpolicyV2Policy',
request_type_name='OrgpolicyOrganizationsPoliciesCreateRequest',
response_type_name='GoogleCloudOrgpolicyV2Policy',
supports_download=False,
)
def Delete(self, request, global_params=None):
r"""Deletes a Policy. Returns a `google.rpc.Status` with `google.rpc.Code.NOT_FOUND` if the constraint or Org Policy does not exist.
Args:
request: (OrgpolicyOrganizationsPoliciesDeleteRequest) input message
global_params: (StandardQueryParameters, default: None) global arguments
Returns:
(GoogleProtobufEmpty) The response message.
"""
config = self.GetMethodConfig('Delete')
return self._RunMethod(
config, request, global_params=global_params)
Delete.method_config = lambda: base_api.ApiMethodInfo(
flat_path='v2/organizations/{organizationsId}/policies/{policiesId}',
http_method='DELETE',
method_id='orgpolicy.organizations.policies.delete',
ordered_params=['name'],
path_params=['name'],
query_params=[],
relative_path='v2/{+name}',
request_field='',
request_type_name='OrgpolicyOrganizationsPoliciesDeleteRequest',
response_type_name='GoogleProtobufEmpty',
supports_download=False,
)
def Get(self, request, global_params=None):
r"""Gets a `Policy` on a resource. If no `Policy` is set on the resource, NOT_FOUND is returned. The `etag` value can be used with `UpdatePolicy()` to update a `Policy` during read-modify-write.
Args:
request: (OrgpolicyOrganizationsPoliciesGetRequest) input message
global_params: (StandardQueryParameters, default: None) global arguments
Returns:
(GoogleCloudOrgpolicyV2Policy) The response message.
"""
config = self.GetMethodConfig('Get')
return self._RunMethod(
config, request, global_params=global_params)
Get.method_config = lambda: base_api.ApiMethodInfo(
flat_path='v2/organizations/{organizationsId}/policies/{policiesId}',
http_method='GET',
method_id='orgpolicy.organizations.policies.get',
ordered_params=['name'],
path_params=['name'],
query_params=[],
relative_path='v2/{+name}',
request_field='',
request_type_name='OrgpolicyOrganizationsPoliciesGetRequest',
response_type_name='GoogleCloudOrgpolicyV2Policy',
supports_download=False,
)
def GetEffectivePolicy(self, request, global_params=None):
r"""Gets the effective `Policy` on a resource. This is the result of merging `Policies` in the resource hierarchy and evaluating conditions. The returned `Policy` will not have an `etag` or `condition` set because it is a computed `Policy` across multiple resources. Subtrees of Resource Manager resource hierarchy with 'under:' prefix will not be expanded.
Args:
request: (OrgpolicyOrganizationsPoliciesGetEffectivePolicyRequest) input message
global_params: (StandardQueryParameters, default: None) global arguments
Returns:
(GoogleCloudOrgpolicyV2Policy) The response message.
"""
config = self.GetMethodConfig('GetEffectivePolicy')
return self._RunMethod(
config, request, global_params=global_params)
GetEffectivePolicy.method_config = lambda: base_api.ApiMethodInfo(
flat_path='v2/organizations/{organizationsId}/policies/{policiesId}:getEffectivePolicy',
http_method='GET',
method_id='orgpolicy.organizations.policies.getEffectivePolicy',
ordered_params=['name'],
path_params=['name'],
query_params=[],
relative_path='v2/{+name}:getEffectivePolicy',
request_field='',
request_type_name='OrgpolicyOrganizationsPoliciesGetEffectivePolicyRequest',
response_type_name='GoogleCloudOrgpolicyV2Policy',
supports_download=False,
)
def List(self, request, global_params=None):
r"""Retrieves all of the `Policies` that exist on a particular resource.
Args:
request: (OrgpolicyOrganizationsPoliciesListRequest) input message
global_params: (StandardQueryParameters, default: None) global arguments
Returns:
(GoogleCloudOrgpolicyV2ListPoliciesResponse) The response message.
"""
config = self.GetMethodConfig('List')
return self._RunMethod(
config, request, global_params=global_params)
List.method_config = lambda: base_api.ApiMethodInfo(
flat_path='v2/organizations/{organizationsId}/policies',
http_method='GET',
method_id='orgpolicy.organizations.policies.list',
ordered_params=['parent'],
path_params=['parent'],
query_params=['pageSize', 'pageToken'],
relative_path='v2/{+parent}/policies',
request_field='',
request_type_name='OrgpolicyOrganizationsPoliciesListRequest',
response_type_name='GoogleCloudOrgpolicyV2ListPoliciesResponse',
supports_download=False,
)
def Patch(self, request, global_params=None):
r"""Updates a Policy. Returns a `google.rpc.Status` with `google.rpc.Code.NOT_FOUND` if the constraint or the policy do not exist. Returns a `google.rpc.Status` with `google.rpc.Code.ABORTED` if the etag supplied in the request does not match the persisted etag of the policy Note: the supplied policy will perform a full overwrite of all fields.
Args:
request: (GoogleCloudOrgpolicyV2Policy) input message
global_params: (StandardQueryParameters, default: None) global arguments
Returns:
(GoogleCloudOrgpolicyV2Policy) The response message.
"""
config = self.GetMethodConfig('Patch')
return self._RunMethod(
config, request, global_params=global_params)
Patch.method_config = lambda: base_api.ApiMethodInfo(
flat_path='v2/organizations/{organizationsId}/policies/{policiesId}',
http_method='PATCH',
method_id='orgpolicy.organizations.policies.patch',
ordered_params=['name'],
path_params=['name'],
query_params=[],
relative_path='v2/{+name}',
request_field='<request>',
request_type_name='GoogleCloudOrgpolicyV2Policy',
response_type_name='GoogleCloudOrgpolicyV2Policy',
supports_download=False,
)
class OrganizationsService(base_api.BaseApiService):
"""Service class for the organizations resource."""
_NAME = 'organizations'
def __init__(self, client):
super(OrgpolicyV2.OrganizationsService, self).__init__(client)
self._upload_configs = {
}
class ProjectsConstraintsService(base_api.BaseApiService):
"""Service class for the projects_constraints resource."""
_NAME = 'projects_constraints'
def __init__(self, client):
super(OrgpolicyV2.ProjectsConstraintsService, self).__init__(client)
self._upload_configs = {
}
def List(self, request, global_params=None):
r"""Lists `Constraints` that could be applied on the specified resource.
Args:
request: (OrgpolicyProjectsConstraintsListRequest) input message
global_params: (StandardQueryParameters, default: None) global arguments
Returns:
(GoogleCloudOrgpolicyV2ListConstraintsResponse) The response message.
"""
config = self.GetMethodConfig('List')
return self._RunMethod(
config, request, global_params=global_params)
List.method_config = lambda: base_api.ApiMethodInfo(
flat_path='v2/projects/{projectsId}/constraints',
http_method='GET',
method_id='orgpolicy.projects.constraints.list',
ordered_params=['parent'],
path_params=['parent'],
query_params=['pageSize', 'pageToken'],
relative_path='v2/{+parent}/constraints',
request_field='',
request_type_name='OrgpolicyProjectsConstraintsListRequest',
response_type_name='GoogleCloudOrgpolicyV2ListConstraintsResponse',
supports_download=False,
)
class ProjectsPoliciesService(base_api.BaseApiService):
"""Service class for the projects_policies resource."""
_NAME = 'projects_policies'
def __init__(self, client):
super(OrgpolicyV2.ProjectsPoliciesService, self).__init__(client)
self._upload_configs = {
}
def Create(self, request, global_params=None):
r"""Creates a Policy. Returns a `google.rpc.Status` with `google.rpc.Code.NOT_FOUND` if the constraint does not exist. Returns a `google.rpc.Status` with `google.rpc.Code.ALREADY_EXISTS` if the policy already exists on the given Cloud resource.
Args:
request: (OrgpolicyProjectsPoliciesCreateRequest) input message
global_params: (StandardQueryParameters, default: None) global arguments
Returns:
(GoogleCloudOrgpolicyV2Policy) The response message.
"""
config = self.GetMethodConfig('Create')
return self._RunMethod(
config, request, global_params=global_params)
Create.method_config = lambda: base_api.ApiMethodInfo(
flat_path='v2/projects/{projectsId}/policies',
http_method='POST',
method_id='orgpolicy.projects.policies.create',
ordered_params=['parent'],
path_params=['parent'],
query_params=[],
relative_path='v2/{+parent}/policies',
request_field='googleCloudOrgpolicyV2Policy',
request_type_name='OrgpolicyProjectsPoliciesCreateRequest',
response_type_name='GoogleCloudOrgpolicyV2Policy',
supports_download=False,
)
def Delete(self, request, global_params=None):
r"""Deletes a Policy. Returns a `google.rpc.Status` with `google.rpc.Code.NOT_FOUND` if the constraint or Org Policy does not exist.
Args:
request: (OrgpolicyProjectsPoliciesDeleteRequest) input message
global_params: (StandardQueryParameters, default: None) global arguments
Returns:
(GoogleProtobufEmpty) The response message.
"""
config = self.GetMethodConfig('Delete')
return self._RunMethod(
config, request, global_params=global_params)
Delete.method_config = lambda: base_api.ApiMethodInfo(
flat_path='v2/projects/{projectsId}/policies/{policiesId}',
http_method='DELETE',
method_id='orgpolicy.projects.policies.delete',
ordered_params=['name'],
path_params=['name'],
query_params=[],
relative_path='v2/{+name}',
request_field='',
request_type_name='OrgpolicyProjectsPoliciesDeleteRequest',
response_type_name='GoogleProtobufEmpty',
supports_download=False,
)
def Get(self, request, global_params=None):
r"""Gets a `Policy` on a resource. If no `Policy` is set on the resource, NOT_FOUND is returned. The `etag` value can be used with `UpdatePolicy()` to update a `Policy` during read-modify-write.
Args:
request: (OrgpolicyProjectsPoliciesGetRequest) input message
global_params: (StandardQueryParameters, default: None) global arguments
Returns:
(GoogleCloudOrgpolicyV2Policy) The response message.
"""
config = self.GetMethodConfig('Get')
return self._RunMethod(
config, request, global_params=global_params)
Get.method_config = lambda: base_api.ApiMethodInfo(
flat_path='v2/projects/{projectsId}/policies/{policiesId}',
http_method='GET',
method_id='orgpolicy.projects.policies.get',
ordered_params=['name'],
path_params=['name'],
query_params=[],
relative_path='v2/{+name}',
request_field='',
request_type_name='OrgpolicyProjectsPoliciesGetRequest',
response_type_name='GoogleCloudOrgpolicyV2Policy',
supports_download=False,
)
def GetEffectivePolicy(self, request, global_params=None):
r"""Gets the effective `Policy` on a resource. This is the result of merging `Policies` in the resource hierarchy and evaluating conditions. The returned `Policy` will not have an `etag` or `condition` set because it is a computed `Policy` across multiple resources. Subtrees of Resource Manager resource hierarchy with 'under:' prefix will not be expanded.
Args:
request: (OrgpolicyProjectsPoliciesGetEffectivePolicyRequest) input message
global_params: (StandardQueryParameters, default: None) global arguments
Returns:
(GoogleCloudOrgpolicyV2Policy) The response message.
"""
config = self.GetMethodConfig('GetEffectivePolicy')
return self._RunMethod(
config, request, global_params=global_params)
GetEffectivePolicy.method_config = lambda: base_api.ApiMethodInfo(
flat_path='v2/projects/{projectsId}/policies/{policiesId}:getEffectivePolicy',
http_method='GET',
method_id='orgpolicy.projects.policies.getEffectivePolicy',
ordered_params=['name'],
path_params=['name'],
query_params=[],
relative_path='v2/{+name}:getEffectivePolicy',
request_field='',
request_type_name='OrgpolicyProjectsPoliciesGetEffectivePolicyRequest',
response_type_name='GoogleCloudOrgpolicyV2Policy',
supports_download=False,
)
def List(self, request, global_params=None):
r"""Retrieves all of the `Policies` that exist on a particular resource.
Args:
request: (OrgpolicyProjectsPoliciesListRequest) input message
global_params: (StandardQueryParameters, default: None) global arguments
Returns:
(GoogleCloudOrgpolicyV2ListPoliciesResponse) The response message.
"""
config = self.GetMethodConfig('List')
return self._RunMethod(
config, request, global_params=global_params)
List.method_config = lambda: base_api.ApiMethodInfo(
flat_path='v2/projects/{projectsId}/policies',
http_method='GET',
method_id='orgpolicy.projects.policies.list',
ordered_params=['parent'],
path_params=['parent'],
query_params=['pageSize', 'pageToken'],
relative_path='v2/{+parent}/policies',
request_field='',
request_type_name='OrgpolicyProjectsPoliciesListRequest',
response_type_name='GoogleCloudOrgpolicyV2ListPoliciesResponse',
supports_download=False,
)
def Patch(self, request, global_params=None):
r"""Updates a Policy. Returns a `google.rpc.Status` with `google.rpc.Code.NOT_FOUND` if the constraint or the policy do not exist. Returns a `google.rpc.Status` with `google.rpc.Code.ABORTED` if the etag supplied in the request does not match the persisted etag of the policy Note: the supplied policy will perform a full overwrite of all fields.
Args:
request: (GoogleCloudOrgpolicyV2Policy) input message
global_params: (StandardQueryParameters, default: None) global arguments
Returns:
(GoogleCloudOrgpolicyV2Policy) The response message.
"""
config = self.GetMethodConfig('Patch')
return self._RunMethod(
config, request, global_params=global_params)
Patch.method_config = lambda: base_api.ApiMethodInfo(
flat_path='v2/projects/{projectsId}/policies/{policiesId}',
http_method='PATCH',
method_id='orgpolicy.projects.policies.patch',
ordered_params=['name'],
path_params=['name'],
query_params=[],
relative_path='v2/{+name}',
request_field='<request>',
request_type_name='GoogleCloudOrgpolicyV2Policy',
response_type_name='GoogleCloudOrgpolicyV2Policy',
supports_download=False,
)
class ProjectsService(base_api.BaseApiService):
"""Service class for the projects resource."""
_NAME = 'projects'
def __init__(self, client):
super(OrgpolicyV2.ProjectsService, self).__init__(client)
self._upload_configs = {
}
| 43.10399 | 363 | 0.704379 | 3,514 | 35,647 | 6.938532 | 0.07029 | 0.050693 | 0.038963 | 0.023583 | 0.810762 | 0.803585 | 0.796899 | 0.76536 | 0.712247 | 0.706341 | 0 | 0.004971 | 0.198698 | 35,647 | 826 | 364 | 43.156174 | 0.848621 | 0.309956 | 0 | 0.663636 | 1 | 0 | 0.23946 | 0.19368 | 0 | 0 | 0 | 0 | 0 | 1 | 0.065455 | false | 0 | 0.005455 | 0 | 0.158182 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
1f70010ad339082aa6fae147db87d8a0f4f6ace1 | 2,562 | py | Python | tests/test_operator.py | forever9717/jsonclasses | cc9bde67ceab220425b4855ebb59d432e6fd6ddc | [
"MIT"
] | 50 | 2021-08-18T08:08:04.000Z | 2022-03-20T07:23:26.000Z | tests/test_operator.py | zhichao-github/jsonclasses | 6ee8545683b446939c9c68414fc351cbc917ad41 | [
"MIT"
] | 1 | 2021-02-21T03:18:09.000Z | 2021-03-08T01:07:52.000Z | tests/test_operator.py | zhichao-github/jsonclasses | 6ee8545683b446939c9c68414fc351cbc917ad41 | [
"MIT"
] | 8 | 2021-07-01T02:39:15.000Z | 2021-12-10T02:20:18.000Z | from __future__ import annotations
from unittest import TestCase
from jsonclasses.excs import ValidationException
from tests.classes.operator import (AsopUser, AsopTeam, AsopdUser, AsopdTeam)
class TestOperator(TestCase):
def test_asop_assigns_transformed_to_field_if_operator_is_present(self):
user = AsopUser(name='U', id='id')
team = AsopTeam(name='T')
team.opby(user)
self.assertEqual(team.owner_id, user.id)
team.validate()
def test_asop_is_invalid_when_operator_is_not_present_on_create(self):
team = AsopTeam(name='T')
with self.assertRaises(ValidationException) as context:
team.validate()
self.assertEqual(context.exception.keypath_messages['owner'],
"no operator being assigned")
def test_asop_is_not_invalid_when_updating_other_fields(self):
team = AsopTeam(name='T')
setattr(team, '_is_new', False)
team.validate()
def test_asop_is_invalid_when_operator_is_not_present_on_update(self):
team = AsopTeam(name='T')
setattr(team, '_is_new', False)
setattr(team, '_modified_fields', ('owner',))
with self.assertRaises(ValidationException) as context:
team.validate()
self.assertEqual(context.exception.keypath_messages['owner'],
"no operator being assigned")
def test_asopd_assigns_directly_to_field_if_operator_is_present(self):
user = AsopdUser(name='U', id='id')
team = AsopdTeam(name='T')
team.opby(user)
self.assertEqual(team.owner_id, user.id)
team.validate()
def test_asopd_is_invalid_when_operator_is_not_present_on_create(self):
team = AsopdTeam(name='T')
with self.assertRaises(ValidationException) as context:
team.validate()
self.assertEqual(context.exception.keypath_messages['owner'],
"no operator being assigned")
def test_asopd_is_not_invalid_when_updating_other_fields(self):
team = AsopdTeam(name='T')
setattr(team, '_is_new', False)
team.validate()
def test_asopd_is_invalid_when_operator_is_not_present_on_update(self):
team = AsopdTeam(name='T')
setattr(team, '_is_new', False)
setattr(team, '_modified_fields', ('owner',))
with self.assertRaises(ValidationException) as context:
team.validate()
self.assertEqual(context.exception.keypath_messages['owner'],
"no operator being assigned")
| 40.03125 | 77 | 0.672912 | 301 | 2,562 | 5.408638 | 0.212625 | 0.034398 | 0.027027 | 0.041769 | 0.835381 | 0.808968 | 0.808968 | 0.808968 | 0.767199 | 0.724201 | 0 | 0 | 0.227557 | 2,562 | 63 | 78 | 40.666667 | 0.822638 | 0 | 0 | 0.716981 | 0 | 0 | 0.081187 | 0 | 0 | 0 | 0 | 0 | 0.188679 | 1 | 0.150943 | false | 0 | 0.075472 | 0 | 0.245283 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
1f758fb010319a6e4d626369c0570d495f33970f | 172,368 | py | Python | skyfield/nutationlib.py | aarose/python-skyfield | a6c56247d1a888f57fc442530948779cec5c1db1 | [
"MIT"
] | null | null | null | skyfield/nutationlib.py | aarose/python-skyfield | a6c56247d1a888f57fc442530948779cec5c1db1 | [
"MIT"
] | null | null | null | skyfield/nutationlib.py | aarose/python-skyfield | a6c56247d1a888f57fc442530948779cec5c1db1 | [
"MIT"
] | null | null | null | """Routines that compute Earth nutation."""
from numpy import array, cos, fmod, sin, outer, tensordot, zeros
from .constants import ASEC2RAD, ASEC360, DEG2RAD, TAU, PSI_COR, EPS_COR, T0
def compute_nutation(jd):
"""Generate the nutation rotations for JulianDate `jd`.
If the Julian date is scalar, a simple ``(3, 3)`` matrix is
returned; if the date is an array of length ``n``, then an array of
matrices is returned with dimensions ``(3, 3, n)``.
"""
oblm, oblt, eqeq, psi, eps = earth_tilt(jd)
cobm = cos(oblm * DEG2RAD)
sobm = sin(oblm * DEG2RAD)
cobt = cos(oblt * DEG2RAD)
sobt = sin(oblt * DEG2RAD)
cpsi = cos(psi * ASEC2RAD)
spsi = sin(psi * ASEC2RAD)
return array(((cpsi,
-spsi * cobm,
-spsi * sobm),
(spsi * cobt,
cpsi * cobm * cobt + sobm * sobt,
cpsi * sobm * cobt - cobm * sobt),
(spsi * sobt,
cpsi * cobm * sobt - sobm * cobt,
cpsi * sobm * sobt + cobm * cobt)))
def earth_tilt(jd):
"""Return a tuple of information about the earth's axis and position.
`jd` - A JulianDate object.
The returned tuple contains five items:
``mean_ob`` - Mean obliquity of the ecliptic in degrees.
``true_ob`` - True obliquity of the ecliptic in degrees.
``eq_eq`` - Equation of the equinoxes in seconds of time.
``d_psi`` - Nutation in longitude in arcseconds.
``d_eps`` - Nutation in obliquity in arcseconds.
"""
dp, de = iau2000a(jd.tt)
c_terms = equation_of_the_equinoxes_complimentary_terms(jd.tt) / ASEC2RAD
d_psi = dp * 1e-7 + PSI_COR
d_eps = de * 1e-7 + EPS_COR
mean_ob = mean_obliquity(jd.tdb)
true_ob = mean_ob + d_eps
mean_ob /= 3600.0
true_ob /= 3600.0
eq_eq = d_psi * cos(mean_ob * DEG2RAD) + c_terms
eq_eq /= 15.0
return mean_ob, true_ob, eq_eq, d_psi, d_eps
#
def mean_obliquity(jd_tdb):
"""Return the mean obliquity of the ecliptic in arcseconds.
`jd_tt` - TDB time as a Julian date float, or NumPy array of floats
"""
# Compute time in Julian centuries from epoch J2000.0.
t = (jd_tdb - T0) / 36525.0
# Compute the mean obliquity in arcseconds. Use expression from the
# reference's eq. (39) with obliquity at J2000.0 taken from eq. (37)
# or Table 8.
epsilon = (((( - 0.0000000434 * t
- 0.000000576 ) * t
+ 0.00200340 ) * t
- 0.0001831 ) * t
- 46.836769 ) * t + 84381.406
return epsilon
def equation_of_the_equinoxes_complimentary_terms(jd_tt):
"""Compute the complementary terms of the equation of the equinoxes.
`jd_tt` - Terrestrial Time: Julian date float, or NumPy array of floats
"""
# Interval between fundamental epoch J2000.0 and current date.
t = (jd_tt - T0) / 36525.0
# Build array for intermediate results.
shape = getattr(jd_tt, 'shape', ())
fa = zeros((14,) if shape == () else (14, shape[0]))
# Mean Anomaly of the Moon.
fa[0] = ((485868.249036 +
(715923.2178 +
( 31.8792 +
( 0.051635 +
( -0.00024470)
* t) * t) * t) * t) * ASEC2RAD
+ (1325.0*t % 1.0) * TAU)
# Mean Anomaly of the Sun.
fa[1] = ((1287104.793048 +
(1292581.0481 +
( -0.5532 +
( +0.000136 +
( -0.00001149)
* t) * t) * t) * t) * ASEC2RAD
+ (99.0*t % 1.0) * TAU)
# Mean Longitude of the Moon minus Mean Longitude of the Ascending
# Node of the Moon.
fa[2] = (( 335779.526232 +
( 295262.8478 +
( -12.7512 +
( -0.001037 +
( 0.00000417)
* t) * t) * t) * t) * ASEC2RAD
+ (1342.0*t % 1.0) * TAU)
# Mean Elongation of the Moon from the Sun.
fa[3] = ((1072260.703692 +
(1105601.2090 +
( -6.3706 +
( 0.006593 +
( -0.00003169)
* t) * t) * t) * t) * ASEC2RAD
+ (1236.0*t % 1.0) * TAU)
# Mean Longitude of the Ascending Node of the Moon.
fa[4] = (( 450160.398036 +
(-482890.5431 +
( 7.4722 +
( 0.007702 +
( -0.00005939)
* t) * t) * t) * t) * ASEC2RAD
+ (-5.0*t % 1.0) * TAU)
fa[ 5] = (4.402608842 + 2608.7903141574 * t)
fa[ 6] = (3.176146697 + 1021.3285546211 * t)
fa[ 7] = (1.753470314 + 628.3075849991 * t)
fa[ 8] = (6.203480913 + 334.0612426700 * t)
fa[ 9] = (0.599546497 + 52.9690962641 * t)
fa[10] = (0.874016757 + 21.3299104960 * t)
fa[11] = (5.481293872 + 7.4781598567 * t)
fa[12] = (5.311886287 + 3.8133035638 * t)
fa[13] = (0.024381750 + 0.00000538691 * t) * t
fa %= TAU
# Evaluate the complementary terms.
a = ke0_t.dot(fa)
s0 = se0_t_0.dot(sin(a)) + se0_t_1.dot(cos(a))
a = ke1.dot(fa)
s1 = se1_0 * sin(a) + se1_1 * cos(a)
c_terms = s0 + s1 * t
c_terms *= ASEC2RAD
return c_terms
anomaly_constant, anomaly_coefficient = array([
# Mean anomaly of the Moon.
(2.35555598, 8328.6914269554),
# Mean anomaly of the Sun.
(6.24006013, 628.301955),
# Mean argument of the latitude of the Moon.
(1.627905234, 8433.466158131),
# Mean elongation of the Moon from the Sun.
(5.198466741, 7771.3771468121),
# Mean longitude of the ascending node of the Moon.
(2.18243920, - 33.757045),
# Planetary longitudes, Mercury through Neptune (Souchay et al. 1999).
(4.402608842, 2608.7903141574),
(3.176146697, 1021.3285546211),
(1.753470314, 628.3075849991),
(6.203480913, 334.0612426700),
(0.599546497, 52.9690962641),
(0.874016757, 21.3299104960),
(5.481293871, 7.4781598567),
(5.321159000, 3.8127774000),
# General accumulated precession in longitude (gets multiplied by t).
(0.02438175, 0.00000538691),
]).T
def iau2000a(jd_tt):
"""Compute Earth nutation based on the IAU 2000A nutation model.
`jd_tt` - Terrestrial Time: Julian date float, or NumPy array of floats
Returns a tuple ``(delta_psi, delta_epsilon)`` measured in tenths of
a micro-arcsecond. Each value is either a float, or a NumPy array
with the same dimensions as the input argument.
"""
# Interval between fundamental epoch J2000.0 and given date.
t = (jd_tt - T0) / 36525.0
# Compute fundamental arguments from Simon et al. (1994), in radians.
a = fundamental_arguments(t)
# ** Luni-solar nutation **
# Summation of luni-solar nutation series (in reverse order).
arg = nals_t.dot(a)
fmod(arg, TAU, out=arg)
sarg = sin(arg)
carg = cos(arg)
stsc = array((sarg, t * sarg, carg)).T
ctcs = array((carg, t * carg, sarg)).T
dpsi = tensordot(stsc, lunisolar_longitude_coefficients)
deps = tensordot(ctcs, lunisolar_obliquity_coefficients)
# Compute and add in planetary components.
if getattr(t, 'shape', ()) == ():
a = t * anomaly_coefficient + anomaly_constant
else:
a = (outer(anomaly_coefficient, t).T + anomaly_constant).T
a[-1] *= t
fmod(a, TAU, out=a)
arg = napl_t.dot(a)
fmod(arg, TAU, out=arg)
sc = array((sin(arg), cos(arg))).T
dpsi += tensordot(sc, nutation_coefficients_longitude)
deps += tensordot(sc, nutation_coefficients_obliquity)
return dpsi, deps
#
fa0, fa1, fa2, fa3, fa4 = array([
# Mean Anomaly of the Moon.
(485868.249036, 1717915923.2178, 31.8792, 0.051635, - .00024470),
# Mean Anomaly of the Sun.
(1287104.79305, 129596581.0481, - 0.5532, 0.000136, - 0.00001149),
# Mean Longitude of the Moon minus Mean Longitude of the Ascending
# Node of the Moon.
(335779.526232, 1739527262.8478, - 12.7512, - 0.001037, 0.00000417),
# Mean Elongation of the Moon from the Sun.
(1072260.70369, 1602961601.2090, - 6.3706, 0.006593, - 0.00003169),
# Mean Longitude of the Ascending Node of the Moon.
(450160.398036, - 6962890.5431, 7.4722, 0.007702, - 0.00005939),
]).T[:,:,None]
def fundamental_arguments(t):
"""Compute the fundamental arguments (mean elements) of Sun and Moon.
`t` - TDB time in Julian centuries since J2000.0, as float or NumPy array
Outputs fundamental arguments, in radians:
a[0] = l (mean anomaly of the Moon)
a[1] = l' (mean anomaly of the Sun)
a[2] = F (mean argument of the latitude of the Moon)
a[3] = D (mean elongation of the Moon from the Sun)
a[4] = Omega (mean longitude of the Moon's ascending node);
from Simon section 3.4(b.3),
precession = 5028.8200 arcsec/cy)
"""
a = fa4 * t
a += fa3
a *= t
a += fa2
a *= t
a += fa1
a *= t
a += fa0
fmod(a, ASEC360, out=a)
a *= ASEC2RAD
if getattr(t, 'shape', ()):
return a
return a[:,0]
# Argument coefficients for t^0.
ke0_t = array([
(0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0),
(0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0),
(0, 0, 2, -2, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0),
(0, 0, 2, -2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0),
(0, 0, 2, -2, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0),
(0, 0, 2, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0),
(0, 0, 2, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0),
(0, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0),
(0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0),
(0, 1, 0, 0, -1, 0, 0, 0, 0, 0, 0, 0, 0, 0),
(1, 0, 0, 0, -1, 0, 0, 0, 0, 0, 0, 0, 0, 0),
(1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0),
(0, 1, 2, -2, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0),
(0, 1, 2, -2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0),
(0, 0, 4, -4, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0),
(0, 0, 1, -1, 1, 0, -8, 12, 0, 0, 0, 0, 0, 0),
(0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0),
(0, 0, 2, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0),
(1, 0, 2, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0),
(1, 0, 2, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0),
(0, 0, 2, -2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0),
(0, 1, -2, 2, -3, 0, 0, 0, 0, 0, 0, 0, 0, 0),
(0, 1, -2, 2, -1, 0, 0, 0, 0, 0, 0, 0, 0, 0),
(0, 0, 0, 0, 0, 0, 8,-13, 0, 0, 0, 0, 0, -1),
(0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0),
(2, 0, -2, 0, -1, 0, 0, 0, 0, 0, 0, 0, 0, 0),
(1, 0, 0, -2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0),
(0, 1, 2, -2, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0),
(1, 0, 0, -2, -1, 0, 0, 0, 0, 0, 0, 0, 0, 0),
(0, 0, 4, -2, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0),
(0, 0, 2, -2, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0),
(1, 0, -2, 0, -3, 0, 0, 0, 0, 0, 0, 0, 0, 0),
(1, 0, -2, 0, -1, 0, 0, 0, 0, 0, 0, 0, 0, 0),
])
# Argument coefficients for t^1.
ke1 = array([0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0])
# Sine and cosine coefficients for t^0.
se0_t = array([
(+2640.96e-6, -0.39e-6),
( +63.52e-6, -0.02e-6),
( +11.75e-6, +0.01e-6),
( +11.21e-6, +0.01e-6),
( -4.55e-6, +0.00e-6),
( +2.02e-6, +0.00e-6),
( +1.98e-6, +0.00e-6),
( -1.72e-6, +0.00e-6),
( -1.41e-6, -0.01e-6),
( -1.26e-6, -0.01e-6),
( -0.63e-6, +0.00e-6),
( -0.63e-6, +0.00e-6),
( +0.46e-6, +0.00e-6),
( +0.45e-6, +0.00e-6),
( +0.36e-6, +0.00e-6),
( -0.24e-6, -0.12e-6),
( +0.32e-6, +0.00e-6),
( +0.28e-6, +0.00e-6),
( +0.27e-6, +0.00e-6),
( +0.26e-6, +0.00e-6),
( -0.21e-6, +0.00e-6),
( +0.19e-6, +0.00e-6),
( +0.18e-6, +0.00e-6),
( -0.10e-6, +0.05e-6),
( +0.15e-6, +0.00e-6),
( -0.14e-6, +0.00e-6),
( +0.14e-6, +0.00e-6),
( -0.14e-6, +0.00e-6),
( +0.14e-6, +0.00e-6),
( +0.13e-6, +0.00e-6),
( -0.11e-6, +0.00e-6),
( +0.11e-6, +0.00e-6),
( +0.11e-6, +0.00e-6),
])
se0_t_0, se0_t_1 = se0_t.T
# Sine and cosine coefficients for t^1.
se1 = ( -0.87e-6, +0.00e-6)
se1_0 = se1[0]
se1_1 = se1[1]
# Luni-Solar argument multipliers:
# L L' F D Om
nals_t = array((
( 0, 0, 0, 0, 1),
( 0, 0, 2, -2, 2),
( 0, 0, 2, 0, 2),
( 0, 0, 0, 0, 2),
( 0, 1, 0, 0, 0),
( 0, 1, 2, -2, 2),
( 1, 0, 0, 0, 0),
( 0, 0, 2, 0, 1),
( 1, 0, 2, 0, 2),
( 0, -1, 2, -2, 2),
( 0, 0, 2, -2, 1),
(-1, 0, 2, 0, 2),
(-1, 0, 0, 2, 0),
( 1, 0, 0, 0, 1),
(-1, 0, 0, 0, 1),
(-1, 0, 2, 2, 2),
( 1, 0, 2, 0, 1),
(-2, 0, 2, 0, 1),
( 0, 0, 0, 2, 0),
( 0, 0, 2, 2, 2),
( 0, -2, 2, -2, 2),
(-2, 0, 0, 2, 0),
( 2, 0, 2, 0, 2),
( 1, 0, 2, -2, 2),
(-1, 0, 2, 0, 1),
( 2, 0, 0, 0, 0),
( 0, 0, 2, 0, 0),
( 0, 1, 0, 0, 1),
(-1, 0, 0, 2, 1),
( 0, 2, 2, -2, 2),
( 0, 0, -2, 2, 0),
( 1, 0, 0, -2, 1),
( 0, -1, 0, 0, 1),
(-1, 0, 2, 2, 1),
( 0, 2, 0, 0, 0),
( 1, 0, 2, 2, 2),
(-2, 0, 2, 0, 0),
( 0, 1, 2, 0, 2),
( 0, 0, 2, 2, 1),
( 0, -1, 2, 0, 2),
( 0, 0, 0, 2, 1),
( 1, 0, 2, -2, 1),
( 2, 0, 2, -2, 2),
(-2, 0, 0, 2, 1),
( 2, 0, 2, 0, 1),
( 0, -1, 2, -2, 1),
( 0, 0, 0, -2, 1),
(-1, -1, 0, 2, 0),
( 2, 0, 0, -2, 1),
( 1, 0, 0, 2, 0),
( 0, 1, 2, -2, 1),
( 1, -1, 0, 0, 0),
(-2, 0, 2, 0, 2),
( 3, 0, 2, 0, 2),
( 0, -1, 0, 2, 0),
( 1, -1, 2, 0, 2),
( 0, 0, 0, 1, 0),
(-1, -1, 2, 2, 2),
(-1, 0, 2, 0, 0),
( 0, -1, 2, 2, 2),
(-2, 0, 0, 0, 1),
( 1, 1, 2, 0, 2),
( 2, 0, 0, 0, 1),
(-1, 1, 0, 1, 0),
( 1, 1, 0, 0, 0),
( 1, 0, 2, 0, 0),
(-1, 0, 2, -2, 1),
( 1, 0, 0, 0, 2),
(-1, 0, 0, 1, 0),
( 0, 0, 2, 1, 2),
(-1, 0, 2, 4, 2),
(-1, 1, 0, 1, 1),
( 0, -2, 2, -2, 1),
( 1, 0, 2, 2, 1),
(-2, 0, 2, 2, 2),
(-1, 0, 0, 0, 2),
( 1, 1, 2, -2, 2),
(-2, 0, 2, 4, 2),
(-1, 0, 4, 0, 2),
( 2, 0, 2, -2, 1),
( 2, 0, 2, 2, 2),
( 1, 0, 0, 2, 1),
( 3, 0, 0, 0, 0),
( 3, 0, 2, -2, 2),
( 0, 0, 4, -2, 2),
( 0, 1, 2, 0, 1),
( 0, 0, -2, 2, 1),
( 0, 0, 2, -2, 3),
(-1, 0, 0, 4, 0),
( 2, 0, -2, 0, 1),
(-2, 0, 0, 4, 0),
(-1, -1, 0, 2, 1),
(-1, 0, 0, 1, 1),
( 0, 1, 0, 0, 2),
( 0, 0, -2, 0, 1),
( 0, -1, 2, 0, 1),
( 0, 0, 2, -1, 2),
( 0, 0, 2, 4, 2),
(-2, -1, 0, 2, 0),
( 1, 1, 0, -2, 1),
(-1, 1, 0, 2, 0),
(-1, 1, 0, 1, 2),
( 1, -1, 0, 0, 1),
( 1, -1, 2, 2, 2),
(-1, 1, 2, 2, 2),
( 3, 0, 2, 0, 1),
( 0, 1, -2, 2, 0),
(-1, 0, 0, -2, 1),
( 0, 1, 2, 2, 2),
(-1, -1, 2, 2, 1),
( 0, -1, 0, 0, 2),
( 1, 0, 2, -4, 1),
(-1, 0, -2, 2, 0),
( 0, -1, 2, 2, 1),
( 2, -1, 2, 0, 2),
( 0, 0, 0, 2, 2),
( 1, -1, 2, 0, 1),
(-1, 1, 2, 0, 2),
( 0, 1, 0, 2, 0),
( 0, -1, -2, 2, 0),
( 0, 3, 2, -2, 2),
( 0, 0, 0, 1, 1),
(-1, 0, 2, 2, 0),
( 2, 1, 2, 0, 2),
( 1, 1, 0, 0, 1),
( 1, 1, 2, 0, 1),
( 2, 0, 0, 2, 0),
( 1, 0, -2, 2, 0),
(-1, 0, 0, 2, 2),
( 0, 1, 0, 1, 0),
( 0, 1, 0, -2, 1),
(-1, 0, 2, -2, 2),
( 0, 0, 0, -1, 1),
(-1, 1, 0, 0, 1),
( 1, 0, 2, -1, 2),
( 1, -1, 0, 2, 0),
( 0, 0, 0, 4, 0),
( 1, 0, 2, 1, 2),
( 0, 0, 2, 1, 1),
( 1, 0, 0, -2, 2),
(-1, 0, 2, 4, 1),
( 1, 0, -2, 0, 1),
( 1, 1, 2, -2, 1),
( 0, 0, 2, 2, 0),
(-1, 0, 2, -1, 1),
(-2, 0, 2, 2, 1),
( 4, 0, 2, 0, 2),
( 2, -1, 0, 0, 0),
( 2, 1, 2, -2, 2),
( 0, 1, 2, 1, 2),
( 1, 0, 4, -2, 2),
(-1, -1, 0, 0, 1),
( 0, 1, 0, 2, 1),
(-2, 0, 2, 4, 1),
( 2, 0, 2, 0, 0),
( 1, 0, 0, 1, 0),
(-1, 0, 0, 4, 1),
(-1, 0, 4, 0, 1),
( 2, 0, 2, 2, 1),
( 0, 0, 2, -3, 2),
(-1, -2, 0, 2, 0),
( 2, 1, 0, 0, 0),
( 0, 0, 4, 0, 2),
( 0, 0, 0, 0, 3),
( 0, 3, 0, 0, 0),
( 0, 0, 2, -4, 1),
( 0, -1, 0, 2, 1),
( 0, 0, 0, 4, 1),
(-1, -1, 2, 4, 2),
( 1, 0, 2, 4, 2),
(-2, 2, 0, 2, 0),
(-2, -1, 2, 0, 1),
(-2, 0, 0, 2, 2),
(-1, -1, 2, 0, 2),
( 0, 0, 4, -2, 1),
( 3, 0, 2, -2, 1),
(-2, -1, 0, 2, 1),
( 1, 0, 0, -1, 1),
( 0, -2, 0, 2, 0),
(-2, 0, 0, 4, 1),
(-3, 0, 0, 0, 1),
( 1, 1, 2, 2, 2),
( 0, 0, 2, 4, 1),
( 3, 0, 2, 2, 2),
(-1, 1, 2, -2, 1),
( 2, 0, 0, -4, 1),
( 0, 0, 0, -2, 2),
( 2, 0, 2, -4, 1),
(-1, 1, 0, 2, 1),
( 0, 0, 2, -1, 1),
( 0, -2, 2, 2, 2),
( 2, 0, 0, 2, 1),
( 4, 0, 2, -2, 2),
( 2, 0, 0, -2, 2),
( 0, 2, 0, 0, 1),
( 1, 0, 0, -4, 1),
( 0, 2, 2, -2, 1),
(-3, 0, 0, 4, 0),
(-1, 1, 2, 0, 1),
(-1, -1, 0, 4, 0),
(-1, -2, 2, 2, 2),
(-2, -1, 2, 4, 2),
( 1, -1, 2, 2, 1),
(-2, 1, 0, 2, 0),
(-2, 1, 2, 0, 1),
( 2, 1, 0, -2, 1),
(-3, 0, 2, 0, 1),
(-2, 0, 2, -2, 1),
(-1, 1, 0, 2, 2),
( 0, -1, 2, -1, 2),
(-1, 0, 4, -2, 2),
( 0, -2, 2, 0, 2),
(-1, 0, 2, 1, 2),
( 2, 0, 0, 0, 2),
( 0, 0, 2, 0, 3),
(-2, 0, 4, 0, 2),
(-1, 0, -2, 0, 1),
(-1, 1, 2, 2, 1),
( 3, 0, 0, 0, 1),
(-1, 0, 2, 3, 2),
( 2, -1, 2, 0, 1),
( 0, 1, 2, 2, 1),
( 0, -1, 2, 4, 2),
( 2, -1, 2, 2, 2),
( 0, 2, -2, 2, 0),
(-1, -1, 2, -1, 1),
( 0, -2, 0, 0, 1),
( 1, 0, 2, -4, 2),
( 1, -1, 0, -2, 1),
(-1, -1, 2, 0, 1),
( 1, -1, 2, -2, 2),
(-2, -1, 0, 4, 0),
(-1, 0, 0, 3, 0),
(-2, -1, 2, 2, 2),
( 0, 2, 2, 0, 2),
( 1, 1, 0, 2, 0),
( 2, 0, 2, -1, 2),
( 1, 0, 2, 1, 1),
( 4, 0, 0, 0, 0),
( 2, 1, 2, 0, 1),
( 3, -1, 2, 0, 2),
(-2, 2, 0, 2, 1),
( 1, 0, 2, -3, 1),
( 1, 1, 2, -4, 1),
(-1, -1, 2, -2, 1),
( 0, -1, 0, -1, 1),
( 0, -1, 0, -2, 1),
(-2, 0, 0, 0, 2),
(-2, 0, -2, 2, 0),
(-1, 0, -2, 4, 0),
( 1, -2, 0, 0, 0),
( 0, 1, 0, 1, 1),
(-1, 2, 0, 2, 0),
( 1, -1, 2, -2, 1),
( 1, 2, 2, -2, 2),
( 2, -1, 2, -2, 2),
( 1, 0, 2, -1, 1),
( 2, 1, 2, -2, 1),
(-2, 0, 0, -2, 1),
( 1, -2, 2, 0, 2),
( 0, 1, 2, 1, 1),
( 1, 0, 4, -2, 1),
(-2, 0, 4, 2, 2),
( 1, 1, 2, 1, 2),
( 1, 0, 0, 4, 0),
( 1, 0, 2, 2, 0),
( 2, 0, 2, 1, 2),
( 3, 1, 2, 0, 2),
( 4, 0, 2, 0, 1),
(-2, -1, 2, 0, 0),
( 0, 1, -2, 2, 1),
( 1, 0, -2, 1, 0),
( 0, -1, -2, 2, 1),
( 2, -1, 0, -2, 1),
(-1, 0, 2, -1, 2),
( 1, 0, 2, -3, 2),
( 0, 1, 2, -2, 3),
( 0, 0, 2, -3, 1),
(-1, 0, -2, 2, 1),
( 0, 0, 2, -4, 2),
(-2, 1, 0, 0, 1),
(-1, 0, 0, -1, 1),
( 2, 0, 2, -4, 2),
( 0, 0, 4, -4, 4),
( 0, 0, 4, -4, 2),
(-1, -2, 0, 2, 1),
(-2, 0, 0, 3, 0),
( 1, 0, -2, 2, 1),
(-3, 0, 2, 2, 2),
(-3, 0, 2, 2, 1),
(-2, 0, 2, 2, 0),
( 2, -1, 0, 0, 1),
(-2, 1, 2, 2, 2),
( 1, 1, 0, 1, 0),
( 0, 1, 4, -2, 2),
(-1, 1, 0, -2, 1),
( 0, 0, 0, -4, 1),
( 1, -1, 0, 2, 1),
( 1, 1, 0, 2, 1),
(-1, 2, 2, 2, 2),
( 3, 1, 2, -2, 2),
( 0, -1, 0, 4, 0),
( 2, -1, 0, 2, 0),
( 0, 0, 4, 0, 1),
( 2, 0, 4, -2, 2),
(-1, -1, 2, 4, 1),
( 1, 0, 0, 4, 1),
( 1, -2, 2, 2, 2),
( 0, 0, 2, 3, 2),
(-1, 1, 2, 4, 2),
( 3, 0, 0, 2, 0),
(-1, 0, 4, 2, 2),
( 1, 1, 2, 2, 1),
(-2, 0, 2, 6, 2),
( 2, 1, 2, 2, 2),
(-1, 0, 2, 6, 2),
( 1, 0, 2, 4, 1),
( 2, 0, 2, 4, 2),
( 1, 1, -2, 1, 0),
(-3, 1, 2, 1, 2),
( 2, 0, -2, 0, 2),
(-1, 0, 0, 1, 2),
(-4, 0, 2, 2, 1),
(-1, -1, 0, 1, 0),
( 0, 0, -2, 2, 2),
( 1, 0, 0, -1, 2),
( 0, -1, 2, -2, 3),
(-2, 1, 2, 0, 0),
( 0, 0, 2, -2, 4),
(-2, -2, 0, 2, 0),
(-2, 0, -2, 4, 0),
( 0, -2, -2, 2, 0),
( 1, 2, 0, -2, 1),
( 3, 0, 0, -4, 1),
(-1, 1, 2, -2, 2),
( 1, -1, 2, -4, 1),
( 1, 1, 0, -2, 2),
(-3, 0, 2, 0, 0),
(-3, 0, 2, 0, 2),
(-2, 0, 0, 1, 0),
( 0, 0, -2, 1, 0),
(-3, 0, 0, 2, 1),
(-1, -1, -2, 2, 0),
( 0, 1, 2, -4, 1),
( 2, 1, 0, -4, 1),
( 0, 2, 0, -2, 1),
( 1, 0, 0, -3, 1),
(-2, 0, 2, -2, 2),
(-2, -1, 0, 0, 1),
(-4, 0, 0, 2, 0),
( 1, 1, 0, -4, 1),
(-1, 0, 2, -4, 1),
( 0, 0, 4, -4, 1),
( 0, 3, 2, -2, 2),
(-3, -1, 0, 4, 0),
(-3, 0, 0, 4, 1),
( 1, -1, -2, 2, 0),
(-1, -1, 0, 2, 2),
( 1, -2, 0, 0, 1),
( 1, -1, 0, 0, 2),
( 0, 0, 0, 1, 2),
(-1, -1, 2, 0, 0),
( 1, -2, 2, -2, 2),
( 0, -1, 2, -1, 1),
(-1, 0, 2, 0, 3),
( 1, 1, 0, 0, 2),
(-1, 1, 2, 0, 0),
( 1, 2, 0, 0, 0),
(-1, 2, 2, 0, 2),
(-1, 0, 4, -2, 1),
( 3, 0, 2, -4, 2),
( 1, 2, 2, -2, 1),
( 1, 0, 4, -4, 2),
(-2, -1, 0, 4, 1),
( 0, -1, 0, 2, 2),
(-2, 1, 0, 4, 0),
(-2, -1, 2, 2, 1),
( 2, 0, -2, 2, 0),
( 1, 0, 0, 1, 1),
( 0, 1, 0, 2, 2),
( 1, -1, 2, -1, 2),
(-2, 0, 4, 0, 1),
( 2, 1, 0, 0, 1),
( 0, 1, 2, 0, 0),
( 0, -1, 4, -2, 2),
( 0, 0, 4, -2, 4),
( 0, 2, 2, 0, 1),
(-3, 0, 0, 6, 0),
(-1, -1, 0, 4, 1),
( 1, -2, 0, 2, 0),
(-1, 0, 0, 4, 2),
(-1, -2, 2, 2, 1),
(-1, 0, 0, -2, 2),
( 1, 0, -2, -2, 1),
( 0, 0, -2, -2, 1),
(-2, 0, -2, 0, 1),
( 0, 0, 0, 3, 1),
( 0, 0, 0, 3, 0),
(-1, 1, 0, 4, 0),
(-1, -1, 2, 2, 0),
(-2, 0, 2, 3, 2),
( 1, 0, 0, 2, 2),
( 0, -1, 2, 1, 2),
( 3, -1, 0, 0, 0),
( 2, 0, 0, 1, 0),
( 1, -1, 2, 0, 0),
( 0, 0, 2, 1, 0),
( 1, 0, 2, 0, 3),
( 3, 1, 0, 0, 0),
( 3, -1, 2, -2, 2),
( 2, 0, 2, -1, 1),
( 1, 1, 2, 0, 0),
( 0, 0, 4, -1, 2),
( 1, 2, 2, 0, 2),
(-2, 0, 0, 6, 0),
( 0, -1, 0, 4, 1),
(-2, -1, 2, 4, 1),
( 0, -2, 2, 2, 1),
( 0, -1, 2, 2, 0),
(-1, 0, 2, 3, 1),
(-2, 1, 2, 4, 2),
( 2, 0, 0, 2, 2),
( 2, -2, 2, 0, 2),
(-1, 1, 2, 3, 2),
( 3, 0, 2, -1, 2),
( 4, 0, 2, -2, 1),
(-1, 0, 0, 6, 0),
(-1, -2, 2, 4, 2),
(-3, 0, 2, 6, 2),
(-1, 0, 2, 4, 0),
( 3, 0, 0, 2, 1),
( 3, -1, 2, 0, 1),
( 3, 0, 2, 0, 0),
( 1, 0, 4, 0, 2),
( 5, 0, 2, -2, 2),
( 0, -1, 2, 4, 1),
( 2, -1, 2, 2, 1),
( 0, 1, 2, 4, 2),
( 1, -1, 2, 4, 2),
( 3, -1, 2, 2, 2),
( 3, 0, 2, 2, 1),
( 5, 0, 2, 0, 2),
( 0, 0, 2, 6, 2),
( 4, 0, 2, 2, 2),
( 0, -1, 1, -1, 1),
(-1, 0, 1, 0, 3),
( 0, -2, 2, -2, 3),
( 1, 0, -1, 0, 1),
( 2, -2, 0, -2, 1),
(-1, 0, 1, 0, 2),
(-1, 0, 1, 0, 1),
(-1, -1, 2, -1, 2),
(-2, 2, 0, 2, 2),
(-1, 0, 1, 0, 0),
(-4, 1, 2, 2, 2),
(-3, 0, 2, 1, 1),
(-2, -1, 2, 0, 2),
( 1, 0, -2, 1, 1),
( 2, -1, -2, 0, 1),
(-4, 0, 2, 2, 0),
(-3, 1, 0, 3, 0),
(-1, 0, -1, 2, 0),
( 0, -2, 0, 0, 2),
( 0, -2, 0, 0, 2),
(-3, 0, 0, 3, 0),
(-2, -1, 0, 2, 2),
(-1, 0, -2, 3, 0),
(-4, 0, 0, 4, 0),
( 2, 1, -2, 0, 1),
( 2, -1, 0, -2, 2),
( 0, 0, 1, -1, 0),
(-1, 2, 0, 1, 0),
(-2, 1, 2, 0, 2),
( 1, 1, 0, -1, 1),
( 1, 0, 1, -2, 1),
( 0, 2, 0, 0, 2),
( 1, -1, 2, -3, 1),
(-1, 1, 2, -1, 1),
(-2, 0, 4, -2, 2),
(-2, 0, 4, -2, 1),
(-2, -2, 0, 2, 1),
(-2, 0, -2, 4, 0),
( 1, 2, 2, -4, 1),
( 1, 1, 2, -4, 2),
(-1, 2, 2, -2, 1),
( 2, 0, 0, -3, 1),
(-1, 2, 0, 0, 1),
( 0, 0, 0, -2, 0),
(-1, -1, 2, -2, 2),
(-1, 1, 0, 0, 2),
( 0, 0, 0, -1, 2),
(-2, 1, 0, 1, 0),
( 1, -2, 0, -2, 1),
( 1, 0, -2, 0, 2),
(-3, 1, 0, 2, 0),
(-1, 1, -2, 2, 0),
(-1, -1, 0, 0, 2),
(-3, 0, 0, 2, 0),
(-3, -1, 0, 2, 0),
( 2, 0, 2, -6, 1),
( 0, 1, 2, -4, 2),
( 2, 0, 0, -4, 2),
(-2, 1, 2, -2, 1),
( 0, -1, 2, -4, 1),
( 0, 1, 0, -2, 2),
(-1, 0, 0, -2, 0),
( 2, 0, -2, -2, 1),
(-4, 0, 2, 0, 1),
(-1, -1, 0, -1, 1),
( 0, 0, -2, 0, 2),
(-3, 0, 0, 1, 0),
(-1, 0, -2, 1, 0),
(-2, 0, -2, 2, 1),
( 0, 0, -4, 2, 0),
(-2, -1, -2, 2, 0),
( 1, 0, 2, -6, 1),
(-1, 0, 2, -4, 2),
( 1, 0, 0, -4, 2),
( 2, 1, 2, -4, 2),
( 2, 1, 2, -4, 1),
( 0, 1, 4, -4, 4),
( 0, 1, 4, -4, 2),
(-1, -1, -2, 4, 0),
(-1, -3, 0, 2, 0),
(-1, 0, -2, 4, 1),
(-2, -1, 0, 3, 0),
( 0, 0, -2, 3, 0),
(-2, 0, 0, 3, 1),
( 0, -1, 0, 1, 0),
(-3, 0, 2, 2, 0),
( 1, 1, -2, 2, 0),
(-1, 1, 0, 2, 2),
( 1, -2, 2, -2, 1),
( 0, 0, 1, 0, 2),
( 0, 0, 1, 0, 1),
( 0, 0, 1, 0, 0),
(-1, 2, 0, 2, 1),
( 0, 0, 2, 0, 2),
(-2, 0, 2, 0, 2),
( 2, 0, 0, -1, 1),
( 3, 0, 0, -2, 1),
( 1, 0, 2, -2, 3),
( 1, 2, 0, 0, 1),
( 2, 0, 2, -3, 2),
(-1, 1, 4, -2, 2),
(-2, -2, 0, 4, 0),
( 0, -3, 0, 2, 0),
( 0, 0, -2, 4, 0),
(-1, -1, 0, 3, 0),
(-2, 0, 0, 4, 2),
(-1, 0, 0, 3, 1),
( 2, -2, 0, 0, 0),
( 1, -1, 0, 1, 0),
(-1, 0, 0, 2, 0),
( 0, -2, 2, 0, 1),
(-1, 0, 1, 2, 1),
(-1, 1, 0, 3, 0),
(-1, -1, 2, 1, 2),
( 0, -1, 2, 0, 0),
(-2, 1, 2, 2, 1),
( 2, -2, 2, -2, 2),
( 1, 1, 0, 1, 1),
( 1, 0, 1, 0, 1),
( 1, 0, 1, 0, 0),
( 0, 2, 0, 2, 0),
( 2, -1, 2, -2, 1),
( 0, -1, 4, -2, 1),
( 0, 0, 4, -2, 3),
( 0, 1, 4, -2, 1),
( 4, 0, 2, -4, 2),
( 2, 2, 2, -2, 2),
( 2, 0, 4, -4, 2),
(-1, -2, 0, 4, 0),
(-1, -3, 2, 2, 2),
(-3, 0, 2, 4, 2),
(-3, 0, 2, -2, 1),
(-1, -1, 0, -2, 1),
(-3, 0, 0, 0, 2),
(-3, 0, -2, 2, 0),
( 0, 1, 0, -4, 1),
(-2, 1, 0, -2, 1),
(-4, 0, 0, 0, 1),
(-1, 0, 0, -4, 1),
(-3, 0, 0, -2, 1),
( 0, 0, 0, 3, 2),
(-1, 1, 0, 4, 1),
( 1, -2, 2, 0, 1),
( 0, 1, 0, 3, 0),
(-1, 0, 2, 2, 3),
( 0, 0, 2, 2, 2),
(-2, 0, 2, 2, 2),
(-1, 1, 2, 2, 0),
( 3, 0, 0, 0, 2),
( 2, 1, 0, 1, 0),
( 2, -1, 2, -1, 2),
( 0, 0, 2, 0, 1),
( 0, 0, 3, 0, 3),
( 0, 0, 3, 0, 2),
(-1, 2, 2, 2, 1),
(-1, 0, 4, 0, 0),
( 1, 2, 2, 0, 1),
( 3, 1, 2, -2, 1),
( 1, 1, 4, -2, 2),
(-2, -1, 0, 6, 0),
( 0, -2, 0, 4, 0),
(-2, 0, 0, 6, 1),
(-2, -2, 2, 4, 2),
( 0, -3, 2, 2, 2),
( 0, 0, 0, 4, 2),
(-1, -1, 2, 3, 2),
(-2, 0, 2, 4, 0),
( 2, -1, 0, 2, 1),
( 1, 0, 0, 3, 0),
( 0, 1, 0, 4, 1),
( 0, 1, 0, 4, 0),
( 1, -1, 2, 1, 2),
( 0, 0, 2, 2, 3),
( 1, 0, 2, 2, 2),
(-1, 0, 2, 2, 2),
(-2, 0, 4, 2, 1),
( 2, 1, 0, 2, 1),
( 2, 1, 0, 2, 0),
( 2, -1, 2, 0, 0),
( 1, 0, 2, 1, 0),
( 0, 1, 2, 2, 0),
( 2, 0, 2, 0, 3),
( 3, 0, 2, 0, 2),
( 1, 0, 2, 0, 2),
( 1, 0, 3, 0, 3),
( 1, 1, 2, 1, 1),
( 0, 2, 2, 2, 2),
( 2, 1, 2, 0, 0),
( 2, 0, 4, -2, 1),
( 4, 1, 2, -2, 2),
(-1, -1, 0, 6, 0),
(-3, -1, 2, 6, 2),
(-1, 0, 0, 6, 1),
(-3, 0, 2, 6, 1),
( 1, -1, 0, 4, 1),
( 1, -1, 0, 4, 0),
(-2, 0, 2, 5, 2),
( 1, -2, 2, 2, 1),
( 3, -1, 0, 2, 0),
( 1, -1, 2, 2, 0),
( 0, 0, 2, 3, 1),
(-1, 1, 2, 4, 1),
( 0, 1, 2, 3, 2),
(-1, 0, 4, 2, 1),
( 2, 0, 2, 1, 1),
( 5, 0, 0, 0, 0),
( 2, 1, 2, 1, 2),
( 1, 0, 4, 0, 1),
( 3, 1, 2, 0, 1),
( 3, 0, 4, -2, 2),
(-2, -1, 2, 6, 2),
( 0, 0, 0, 6, 0),
( 0, -2, 2, 4, 2),
(-2, 0, 2, 6, 1),
( 2, 0, 0, 4, 1),
( 2, 0, 0, 4, 0),
( 2, -2, 2, 2, 2),
( 0, 0, 2, 4, 0),
( 1, 0, 2, 3, 2),
( 4, 0, 0, 2, 0),
( 2, 0, 2, 2, 0),
( 0, 0, 4, 2, 2),
( 4, -1, 2, 0, 2),
( 3, 0, 2, 1, 2),
( 2, 1, 2, 2, 1),
( 4, 1, 2, 0, 2),
(-1, -1, 2, 6, 2),
(-1, 0, 2, 6, 1),
( 1, -1, 2, 4, 1),
( 1, 1, 2, 4, 2),
( 3, 1, 2, 2, 2),
( 5, 0, 2, 0, 1),
( 2, -1, 2, 4, 2),
( 2, 0, 2, 4, 1),
))
# Luni-Solar nutation coefficients, unit 1e-7 arcsec:
# longitude (sin, t*sin, cos), obliquity (cos, t*cos, sin)
# Each row of coefficients belongs with the corresponding row of
# fundamental-argument multipliers in 'nals_t'.
lunisolar_coefficients = array((
(-172064161.0, -174666.0, 33386.0, 92052331.0, 9086.0, 15377.0),
( -13170906.0, -1675.0, -13696.0, 5730336.0, -3015.0, -4587.0),
( -2276413.0, -234.0, 2796.0, 978459.0, -485.0, 1374.0),
( 2074554.0, 207.0, -698.0, -897492.0, 470.0, -291.0),
( 1475877.0, -3633.0, 11817.0, 73871.0, -184.0, -1924.0),
( -516821.0, 1226.0, -524.0, 224386.0, -677.0, -174.0),
( 711159.0, 73.0, -872.0, -6750.0, 0.0, 358.0),
( -387298.0, -367.0, 380.0, 200728.0, 18.0, 318.0),
( -301461.0, -36.0, 816.0, 129025.0, -63.0, 367.0),
( 215829.0, -494.0, 111.0, -95929.0, 299.0, 132.0),
( 128227.0, 137.0, 181.0, -68982.0, -9.0, 39.0),
( 123457.0, 11.0, 19.0, -53311.0, 32.0, -4.0),
( 156994.0, 10.0, -168.0, -1235.0, 0.0, 82.0),
( 63110.0, 63.0, 27.0, -33228.0, 0.0, -9.0),
( -57976.0, -63.0, -189.0, 31429.0, 0.0, -75.0),
( -59641.0, -11.0, 149.0, 25543.0, -11.0, 66.0),
( -51613.0, -42.0, 129.0, 26366.0, 0.0, 78.0),
( 45893.0, 50.0, 31.0, -24236.0, -10.0, 20.0),
( 63384.0, 11.0, -150.0, -1220.0, 0.0, 29.0),
( -38571.0, -1.0, 158.0, 16452.0, -11.0, 68.0),
( 32481.0, 0.0, 0.0, -13870.0, 0.0, 0.0),
( -47722.0, 0.0, -18.0, 477.0, 0.0, -25.0),
( -31046.0, -1.0, 131.0, 13238.0, -11.0, 59.0),
( 28593.0, 0.0, -1.0, -12338.0, 10.0, -3.0),
( 20441.0, 21.0, 10.0, -10758.0, 0.0, -3.0),
( 29243.0, 0.0, -74.0, -609.0, 0.0, 13.0),
( 25887.0, 0.0, -66.0, -550.0, 0.0, 11.0),
( -14053.0, -25.0, 79.0, 8551.0, -2.0, -45.0),
( 15164.0, 10.0, 11.0, -8001.0, 0.0, -1.0),
( -15794.0, 72.0, -16.0, 6850.0, -42.0, -5.0),
( 21783.0, 0.0, 13.0, -167.0, 0.0, 13.0),
( -12873.0, -10.0, -37.0, 6953.0, 0.0, -14.0),
( -12654.0, 11.0, 63.0, 6415.0, 0.0, 26.0),
( -10204.0, 0.0, 25.0, 5222.0, 0.0, 15.0),
( 16707.0, -85.0, -10.0, 168.0, -1.0, 10.0),
( -7691.0, 0.0, 44.0, 3268.0, 0.0, 19.0),
( -11024.0, 0.0, -14.0, 104.0, 0.0, 2.0),
( 7566.0, -21.0, -11.0, -3250.0, 0.0, -5.0),
( -6637.0, -11.0, 25.0, 3353.0, 0.0, 14.0),
( -7141.0, 21.0, 8.0, 3070.0, 0.0, 4.0),
( -6302.0, -11.0, 2.0, 3272.0, 0.0, 4.0),
( 5800.0, 10.0, 2.0, -3045.0, 0.0, -1.0),
( 6443.0, 0.0, -7.0, -2768.0, 0.0, -4.0),
( -5774.0, -11.0, -15.0, 3041.0, 0.0, -5.0),
( -5350.0, 0.0, 21.0, 2695.0, 0.0, 12.0),
( -4752.0, -11.0, -3.0, 2719.0, 0.0, -3.0),
( -4940.0, -11.0, -21.0, 2720.0, 0.0, -9.0),
( 7350.0, 0.0, -8.0, -51.0, 0.0, 4.0),
( 4065.0, 0.0, 6.0, -2206.0, 0.0, 1.0),
( 6579.0, 0.0, -24.0, -199.0, 0.0, 2.0),
( 3579.0, 0.0, 5.0, -1900.0, 0.0, 1.0),
( 4725.0, 0.0, -6.0, -41.0, 0.0, 3.0),
( -3075.0, 0.0, -2.0, 1313.0, 0.0, -1.0),
( -2904.0, 0.0, 15.0, 1233.0, 0.0, 7.0),
( 4348.0, 0.0, -10.0, -81.0, 0.0, 2.0),
( -2878.0, 0.0, 8.0, 1232.0, 0.0, 4.0),
( -4230.0, 0.0, 5.0, -20.0, 0.0, -2.0),
( -2819.0, 0.0, 7.0, 1207.0, 0.0, 3.0),
( -4056.0, 0.0, 5.0, 40.0, 0.0, -2.0),
( -2647.0, 0.0, 11.0, 1129.0, 0.0, 5.0),
( -2294.0, 0.0, -10.0, 1266.0, 0.0, -4.0),
( 2481.0, 0.0, -7.0, -1062.0, 0.0, -3.0),
( 2179.0, 0.0, -2.0, -1129.0, 0.0, -2.0),
( 3276.0, 0.0, 1.0, -9.0, 0.0, 0.0),
( -3389.0, 0.0, 5.0, 35.0, 0.0, -2.0),
( 3339.0, 0.0, -13.0, -107.0, 0.0, 1.0),
( -1987.0, 0.0, -6.0, 1073.0, 0.0, -2.0),
( -1981.0, 0.0, 0.0, 854.0, 0.0, 0.0),
( 4026.0, 0.0, -353.0, -553.0, 0.0, -139.0),
( 1660.0, 0.0, -5.0, -710.0, 0.0, -2.0),
( -1521.0, 0.0, 9.0, 647.0, 0.0, 4.0),
( 1314.0, 0.0, 0.0, -700.0, 0.0, 0.0),
( -1283.0, 0.0, 0.0, 672.0, 0.0, 0.0),
( -1331.0, 0.0, 8.0, 663.0, 0.0, 4.0),
( 1383.0, 0.0, -2.0, -594.0, 0.0, -2.0),
( 1405.0, 0.0, 4.0, -610.0, 0.0, 2.0),
( 1290.0, 0.0, 0.0, -556.0, 0.0, 0.0),
( -1214.0, 0.0, 5.0, 518.0, 0.0, 2.0),
( 1146.0, 0.0, -3.0, -490.0, 0.0, -1.0),
( 1019.0, 0.0, -1.0, -527.0, 0.0, -1.0),
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( -6.0, 0.0, 0.0, 3.0, 0.0, 0.0),
( -6.0, 0.0, 0.0, 3.0, 0.0, 0.0),
( -4.0, 0.0, 0.0, 2.0, 0.0, 0.0),
( 10.0, 0.0, 0.0, 0.0, 0.0, 0.0),
( -4.0, 0.0, 0.0, 2.0, 0.0, 0.0),
( 7.0, 0.0, 0.0, 0.0, 0.0, 0.0),
( 7.0, 0.0, 0.0, -3.0, 0.0, 0.0),
( 4.0, 0.0, 0.0, 0.0, 0.0, 0.0),
( 11.0, 0.0, 0.0, 0.0, 0.0, 0.0),
( 5.0, 0.0, 0.0, -2.0, 0.0, 0.0),
( -6.0, 0.0, 0.0, 2.0, 0.0, 0.0),
( 4.0, 0.0, 0.0, -2.0, 0.0, 0.0),
( 3.0, 0.0, 0.0, -2.0, 0.0, 0.0),
( 5.0, 0.0, 0.0, -2.0, 0.0, 0.0),
( -4.0, 0.0, 0.0, 2.0, 0.0, 0.0),
( -4.0, 0.0, 0.0, 2.0, 0.0, 0.0),
( -3.0, 0.0, 0.0, 2.0, 0.0, 0.0),
( 4.0, 0.0, 0.0, -2.0, 0.0, 0.0),
( 3.0, 0.0, 0.0, -1.0, 0.0, 0.0),
( -3.0, 0.0, 0.0, 1.0, 0.0, 0.0),
( -3.0, 0.0, 0.0, 1.0, 0.0, 0.0),
( -3.0, 0.0, 0.0, 2.0, 0.0, 0.0),
))
lunisolar_longitude_coefficients = lunisolar_coefficients[:,:3]
lunisolar_obliquity_coefficients = lunisolar_coefficients[:,3:]
# Planetary argument multipliers:
# L L' F D Om Me Ve E Ma Ju Sa Ur Ne pre
napl_t = array((
( 0, 0, 0, 0, 0, 0, 0, 8,-16, 4, 5, 0, 0, 0),
( 0, 0, 0, 0, 0, 0, 0, -8, 16, -4, -5, 0, 0, 2),
( 0, 0, 0, 0, 0, 0, 0, 8,-16, 4, 5, 0, 0, 2),
( 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1, 2, 2),
( 0, 0, 0, 0, 0, 0, 0, -4, 8, -1, -5, 0, 0, 2),
( 0, 0, 0, 0, 0, 0, 0, 4, -8, 3, 0, 0, 0, 1),
( 0, 0, 1, -1, 1, 0, 0, 3, -8, 3, 0, 0, 0, 0),
(-1, 0, 0, 0, 0, 0, 10, -3, 0, 0, 0, 0, 0, 0),
( 0, 0, 0, 0, 0, 0, 0, 0, 0, -2, 6, -3, 0, 2),
( 0, 0, 0, 0, 0, 0, 0, 4, -8, 3, 0, 0, 0, 0),
( 0, 0, 1, -1, 1, 0, 0, -5, 8, -3, 0, 0, 0, 0),
( 0, 0, 0, 0, 0, 0, 0, -4, 8, -3, 0, 0, 0, 1),
( 0, 0, 0, 0, 0, 0, 0, 4, -8, 1, 5, 0, 0, 2),
( 0, 0, 0, 0, 0, 0, -5, 6, 4, 0, 0, 0, 0, 2),
( 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, -5, 0, 0, 2),
( 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, -5, 0, 0, 1),
( 0, 0, 1, -1, 1, 0, 0, -1, 0, 2, -5, 0, 0, 0),
( 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, -5, 0, 0, 0),
( 0, 0, 1, -1, 1, 0, 0, -1, 0, -2, 5, 0, 0, 0),
( 0, 0, 0, 0, 0, 0, 0, 0, 0, -2, 5, 0, 0, 1),
( 0, 0, 0, 0, 0, 0, 0, 0, 0, -2, 5, 0, 0, 2),
( 2, 0, -1, -1, 0, 0, 0, 3, -7, 0, 0, 0, 0, 0),
( 1, 0, 0, -2, 0, 0, 19,-21, 3, 0, 0, 0, 0, 0),
( 0, 0, 1, -1, 1, 0, 2, -4, 0, -3, 0, 0, 0, 0),
( 1, 0, 0, -1, 1, 0, 0, -1, 0, 2, 0, 0, 0, 0),
( 0, 0, 1, -1, 1, 0, 0, -1, 0, -4, 10, 0, 0, 0),
(-2, 0, 0, 2, 1, 0, 0, 2, 0, 0, -5, 0, 0, 0),
( 0, 0, 0, 0, 0, 0, 3, -7, 4, 0, 0, 0, 0, 0),
( 0, 0, -1, 1, 0, 0, 0, 1, 0, 1, -1, 0, 0, 0),
(-2, 0, 0, 2, 1, 0, 0, 2, 0, -2, 0, 0, 0, 0),
(-1, 0, 0, 0, 0, 0, 18,-16, 0, 0, 0, 0, 0, 0),
(-2, 0, 1, 1, 2, 0, 0, 1, 0, -2, 0, 0, 0, 0),
(-1, 0, 1, -1, 1, 0, 18,-17, 0, 0, 0, 0, 0, 0),
(-1, 0, 0, 1, 1, 0, 0, 2, -2, 0, 0, 0, 0, 0),
( 0, 0, 0, 0, 0, 0, -8, 13, 0, 0, 0, 0, 0, 2),
( 0, 0, 2, -2, 2, 0, -8, 11, 0, 0, 0, 0, 0, 0),
( 0, 0, 0, 0, 0, 0, -8, 13, 0, 0, 0, 0, 0, 1),
( 0, 0, 1, -1, 1, 0, -8, 12, 0, 0, 0, 0, 0, 0),
( 0, 0, 0, 0, 0, 0, 8,-13, 0, 0, 0, 0, 0, 0),
( 0, 0, 1, -1, 1, 0, 8,-14, 0, 0, 0, 0, 0, 0),
( 0, 0, 0, 0, 0, 0, 8,-13, 0, 0, 0, 0, 0, 1),
(-2, 0, 0, 2, 1, 0, 0, 2, 0, -4, 5, 0, 0, 0),
(-2, 0, 0, 2, 2, 0, 3, -3, 0, 0, 0, 0, 0, 0),
(-2, 0, 0, 2, 0, 0, 0, 2, 0, -3, 1, 0, 0, 0),
( 0, 0, 0, 0, 1, 0, 3, -5, 0, 2, 0, 0, 0, 0),
(-2, 0, 0, 2, 0, 0, 0, 2, 0, -4, 3, 0, 0, 0),
( 0, 0, -1, 1, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0),
( 0, 0, 0, 0, 1, 0, 0, -1, 2, 0, 0, 0, 0, 0),
( 0, 0, 1, -1, 2, 0, 0, -2, 2, 0, 0, 0, 0, 0),
(-1, 0, 1, 0, 1, 0, 3, -5, 0, 0, 0, 0, 0, 0),
(-1, 0, 0, 1, 0, 0, 3, -4, 0, 0, 0, 0, 0, 0),
(-2, 0, 0, 2, 0, 0, 0, 2, 0, -2, -2, 0, 0, 0),
(-2, 0, 2, 0, 2, 0, 0, -5, 9, 0, 0, 0, 0, 0),
( 0, 0, 1, -1, 1, 0, 0, -1, 0, 0, 0, -1, 0, 0),
( 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0),
( 0, 0, 1, -1, 1, 0, 0, -1, 0, 0, 0, 0, 2, 0),
( 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1),
( 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 2),
(-1, 0, 0, 1, 0, 0, 0, 3, -4, 0, 0, 0, 0, 0),
( 0, 0, -1, 1, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0),
( 0, 0, 1, -1, 2, 0, 0, -1, 0, 0, 2, 0, 0, 0),
( 0, 0, 0, 0, 1, 0, 0, -9, 17, 0, 0, 0, 0, 0),
( 0, 0, 0, 0, 2, 0, -3, 5, 0, 0, 0, 0, 0, 0),
( 0, 0, 1, -1, 1, 0, 0, -1, 0, -1, 2, 0, 0, 0),
( 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, -2, 0, 0, 0),
( 1, 0, 0, -2, 0, 0, 17,-16, 0, -2, 0, 0, 0, 0),
( 0, 0, 1, -1, 1, 0, 0, -1, 0, 1, -3, 0, 0, 0),
(-2, 0, 0, 2, 1, 0, 0, 5, -6, 0, 0, 0, 0, 0),
( 0, 0, -2, 2, 0, 0, 0, 9,-13, 0, 0, 0, 0, 0),
( 0, 0, 1, -1, 2, 0, 0, -1, 0, 0, 1, 0, 0, 0),
( 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0),
( 0, 0, -1, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0),
( 0, 0, -2, 2, 0, 0, 5, -6, 0, 0, 0, 0, 0, 0),
( 0, 0, -1, 1, 1, 0, 5, -7, 0, 0, 0, 0, 0, 0),
(-2, 0, 0, 2, 0, 0, 6, -8, 0, 0, 0, 0, 0, 0),
( 2, 0, 1, -3, 1, 0, -6, 7, 0, 0, 0, 0, 0, 0),
( 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 0, 0, 0, 0),
( 0, 0, -1, 1, 1, 0, 0, 1, 0, 1, 0, 0, 0, 0),
( 0, 0, 1, -1, 1, 0, 0, -1, 0, 0, 0, 2, 0, 0),
( 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1),
( 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 2),
( 0, 0, 0, 0, 0, 0, 0, -8, 15, 0, 0, 0, 0, 2),
( 0, 0, 0, 0, 0, 0, 0, -8, 15, 0, 0, 0, 0, 1),
( 0, 0, 1, -1, 1, 0, 0, -9, 15, 0, 0, 0, 0, 0),
( 0, 0, 0, 0, 0, 0, 0, 8,-15, 0, 0, 0, 0, 0),
( 1, 0, -1, -1, 0, 0, 0, 8,-15, 0, 0, 0, 0, 0),
( 2, 0, 0, -2, 0, 0, 2, -5, 0, 0, 0, 0, 0, 0),
(-2, 0, 0, 2, 0, 0, 0, 2, 0, -5, 5, 0, 0, 0),
( 2, 0, 0, -2, 1, 0, 0, -6, 8, 0, 0, 0, 0, 0),
( 2, 0, 0, -2, 1, 0, 0, -2, 0, 3, 0, 0, 0, 0),
(-2, 0, 1, 1, 0, 0, 0, 1, 0, -3, 0, 0, 0, 0),
(-2, 0, 1, 1, 1, 0, 0, 1, 0, -3, 0, 0, 0, 0),
(-2, 0, 0, 2, 0, 0, 0, 2, 0, -3, 0, 0, 0, 0),
(-2, 0, 0, 2, 0, 0, 0, 6, -8, 0, 0, 0, 0, 0),
(-2, 0, 0, 2, 0, 0, 0, 2, 0, -1, -5, 0, 0, 0),
(-1, 0, 0, 1, 0, 0, 0, 1, 0, -1, 0, 0, 0, 0),
(-1, 0, 1, 1, 1, 0,-20, 20, 0, 0, 0, 0, 0, 0),
( 1, 0, 0, -2, 0, 0, 20,-21, 0, 0, 0, 0, 0, 0),
( 0, 0, 0, 0, 1, 0, 0, 8,-15, 0, 0, 0, 0, 0),
( 0, 0, 2, -2, 1, 0, 0,-10, 15, 0, 0, 0, 0, 0),
( 0, 0, -1, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0),
( 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0),
( 0, 0, 1, -1, 2, 0, 0, -1, 0, 1, 0, 0, 0, 0),
( 0, 0, 1, -1, 1, 0, 0, -1, 0, -2, 4, 0, 0, 0),
( 2, 0, 0, -2, 1, 0, -6, 8, 0, 0, 0, 0, 0, 0),
( 0, 0, -2, 2, 1, 0, 5, -6, 0, 0, 0, 0, 0, 0),
( 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 1),
( 0, 0, 1, -1, 1, 0, 0, -1, 0, 0, -1, 0, 0, 0),
( 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0),
( 0, 0, 1, -1, 1, 0, 0, -1, 0, 0, 1, 0, 0, 0),
( 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1),
( 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2),
( 0, 0, 2, -2, 1, 0, 0, -9, 13, 0, 0, 0, 0, 0),
( 0, 0, 0, 0, 1, 0, 0, 7,-13, 0, 0, 0, 0, 0),
(-2, 0, 0, 2, 0, 0, 0, 5, -6, 0, 0, 0, 0, 0),
( 0, 0, 0, 0, 0, 0, 0, 9,-17, 0, 0, 0, 0, 0),
( 0, 0, 0, 0, 0, 0, 0, -9, 17, 0, 0, 0, 0, 2),
( 1, 0, 0, -1, 1, 0, 0, -3, 4, 0, 0, 0, 0, 0),
( 1, 0, 0, -1, 1, 0, -3, 4, 0, 0, 0, 0, 0, 0),
( 0, 0, 0, 0, 2, 0, 0, -1, 2, 0, 0, 0, 0, 0),
( 0, 0, -1, 1, 1, 0, 0, 0, 2, 0, 0, 0, 0, 0),
( 0, 0, -2, 2, 0, 1, 0, -2, 0, 0, 0, 0, 0, 0),
( 0, 0, 0, 0, 0, 0, 3, -5, 0, 2, 0, 0, 0, 0),
(-2, 0, 0, 2, 1, 0, 0, 2, 0, -3, 1, 0, 0, 0),
(-2, 0, 0, 2, 1, 0, 3, -3, 0, 0, 0, 0, 0, 0),
( 0, 0, 0, 0, 1, 0, 8,-13, 0, 0, 0, 0, 0, 0),
( 0, 0, -1, 1, 0, 0, 8,-12, 0, 0, 0, 0, 0, 0),
( 0, 0, 2, -2, 1, 0, -8, 11, 0, 0, 0, 0, 0, 0),
(-1, 0, 0, 1, 0, 0, 0, 2, -2, 0, 0, 0, 0, 0),
(-1, 0, 0, 0, 1, 0, 18,-16, 0, 0, 0, 0, 0, 0),
( 0, 0, 1, -1, 1, 0, 0, -1, 0, -1, 1, 0, 0, 0),
( 0, 0, 0, 0, 1, 0, 3, -7, 4, 0, 0, 0, 0, 0),
(-2, 0, 1, 1, 1, 0, 0, -3, 7, 0, 0, 0, 0, 0),
( 0, 0, 1, -1, 2, 0, 0, -1, 0, -2, 5, 0, 0, 0),
( 0, 0, 0, 0, 1, 0, 0, 0, 0, -2, 5, 0, 0, 0),
( 0, 0, 0, 0, 1, 0, 0, -4, 8, -3, 0, 0, 0, 0),
( 1, 0, 0, 0, 1, 0,-10, 3, 0, 0, 0, 0, 0, 0),
( 0, 0, 2, -2, 1, 0, 0, -2, 0, 0, 0, 0, 0, 0),
(-1, 0, 0, 0, 1, 0, 10, -3, 0, 0, 0, 0, 0, 0),
( 0, 0, 0, 0, 1, 0, 0, 4, -8, 3, 0, 0, 0, 0),
( 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, -5, 0, 0, 0),
( 0, 0, -1, 1, 0, 0, 0, 1, 0, 2, -5, 0, 0, 0),
( 2, 0, -1, -1, 1, 0, 0, 3, -7, 0, 0, 0, 0, 0),
(-2, 0, 0, 2, 0, 0, 0, 2, 0, 0, -5, 0, 0, 0),
( 0, 0, 0, 0, 1, 0, -3, 7, -4, 0, 0, 0, 0, 0),
(-2, 0, 0, 2, 0, 0, 0, 2, 0, -2, 0, 0, 0, 0),
( 1, 0, 0, 0, 1, 0,-18, 16, 0, 0, 0, 0, 0, 0),
(-2, 0, 1, 1, 1, 0, 0, 1, 0, -2, 0, 0, 0, 0),
( 0, 0, 1, -1, 2, 0, -8, 12, 0, 0, 0, 0, 0, 0),
( 0, 0, 0, 0, 1, 0, -8, 13, 0, 0, 0, 0, 0, 0),
( 0, 0, 0, 0, 0, 0, 0, 1, -2, 0, 0, 0, 0, 1),
( 0, 0, 1, -1, 1, 0, 0, 0, -2, 0, 0, 0, 0, 0),
( 0, 0, 0, 0, 0, 0, 0, 1, -2, 0, 0, 0, 0, 0),
( 0, 0, 1, -1, 1, 0, 0, -2, 2, 0, 0, 0, 0, 0),
( 0, 0, 0, 0, 0, 0, 0, -1, 2, 0, 0, 0, 0, 1),
(-1, 0, 0, 1, 1, 0, 3, -4, 0, 0, 0, 0, 0, 0),
(-1, 0, 0, 1, 1, 0, 0, 3, -4, 0, 0, 0, 0, 0),
( 0, 0, 1, -1, 1, 0, 0, -1, 0, 0, -2, 0, 0, 0),
( 0, 0, 1, -1, 1, 0, 0, -1, 0, 0, 2, 0, 0, 0),
( 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1),
( 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 2),
( 0, 0, 1, -1, 0, 0, 3, -6, 0, 0, 0, 0, 0, 0),
( 0, 0, 0, 0, 1, 0, -3, 5, 0, 0, 0, 0, 0, 0),
( 0, 0, 1, -1, 2, 0, -3, 4, 0, 0, 0, 0, 0, 0),
( 0, 0, 0, 0, 1, 0, 0, -2, 4, 0, 0, 0, 0, 0),
( 0, 0, 2, -2, 1, 0, -5, 6, 0, 0, 0, 0, 0, 0),
( 0, 0, -1, 1, 0, 0, 5, -7, 0, 0, 0, 0, 0, 0),
( 0, 0, 0, 0, 1, 0, 5, -8, 0, 0, 0, 0, 0, 0),
(-2, 0, 0, 2, 1, 0, 6, -8, 0, 0, 0, 0, 0, 0),
( 0, 0, 0, 0, 1, 0, 0, -8, 15, 0, 0, 0, 0, 0),
(-2, 0, 0, 2, 1, 0, 0, 2, 0, -3, 0, 0, 0, 0),
(-2, 0, 0, 2, 1, 0, 0, 6, -8, 0, 0, 0, 0, 0),
( 1, 0, 0, -1, 1, 0, 0, -1, 0, 1, 0, 0, 0, 0),
( 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, -5, 0, 0, 0),
( 0, 0, 1, -1, 1, 0, 0, -1, 0, -1, 0, 0, 0, 0),
( 0, 0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0, 1),
( 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0),
( 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1),
( 0, 0, 1, -1, 1, 0, 0, -1, 0, 1, 0, 0, 0, 0),
( 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1),
( 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2),
( 0, 0, 1, -1, 2, 0, 0, -1, 0, 0, -1, 0, 0, 0),
( 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, -1, 0, 0, 0),
( 0, 0, -1, 1, 0, 0, 0, 1, 0, 0, -1, 0, 0, 0),
( 0, 0, 0, 0, 0, 0, 0, -7, 13, 0, 0, 0, 0, 2),
( 0, 0, 0, 0, 0, 0, 0, 7,-13, 0, 0, 0, 0, 0),
( 2, 0, 0, -2, 1, 0, 0, -5, 6, 0, 0, 0, 0, 0),
( 0, 0, 2, -2, 1, 0, 0, -8, 11, 0, 0, 0, 0, 0),
( 0, 0, 2, -2, 1, -1, 0, 2, 0, 0, 0, 0, 0, 0),
(-2, 0, 0, 2, 0, 0, 0, 4, -4, 0, 0, 0, 0, 0),
( 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, -2, 0, 0, 0),
( 0, 0, 1, -1, 1, 0, 0, -1, 0, 0, 3, 0, 0, 0),
( 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 0, 0, 1),
( 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 0, 0, 2),
(-2, 0, 0, 2, 0, 0, 3, -3, 0, 0, 0, 0, 0, 0),
( 0, 0, 0, 0, 2, 0, 0, -4, 8, -3, 0, 0, 0, 0),
( 0, 0, 0, 0, 2, 0, 0, 4, -8, 3, 0, 0, 0, 0),
( 2, 0, 0, -2, 1, 0, 0, -2, 0, 2, 0, 0, 0, 0),
( 0, 0, 1, -1, 2, 0, 0, -1, 0, 2, 0, 0, 0, 0),
( 0, 0, 1, -1, 2, 0, 0, 0, -2, 0, 0, 0, 0, 0),
( 0, 0, 0, 0, 1, 0, 0, 1, -2, 0, 0, 0, 0, 0),
( 0, 0, -1, 1, 0, 0, 0, 2, -2, 0, 0, 0, 0, 0),
( 0, 0, -1, 1, 0, 0, 0, 1, 0, 0, -2, 0, 0, 0),
( 0, 0, 2, -2, 1, 0, 0, -2, 0, 0, 2, 0, 0, 0),
( 0, 0, 1, -1, 1, 0, 3, -6, 0, 0, 0, 0, 0, 0),
( 0, 0, 0, 0, 0, 0, 3, -5, 0, 0, 0, 0, 0, 1),
( 0, 0, 0, 0, 0, 0, 3, -5, 0, 0, 0, 0, 0, 0),
( 0, 0, 1, -1, 1, 0, -3, 4, 0, 0, 0, 0, 0, 0),
( 0, 0, 0, 0, 0, 0, -3, 5, 0, 0, 0, 0, 0, 1),
( 0, 0, 0, 0, 0, 0, -3, 5, 0, 0, 0, 0, 0, 2),
( 0, 0, 2, -2, 2, 0, -3, 3, 0, 0, 0, 0, 0, 0),
( 0, 0, 0, 0, 0, 0, -3, 5, 0, 0, 0, 0, 0, 2),
( 0, 0, 0, 0, 0, 0, 0, 2, -4, 0, 0, 0, 0, 1),
( 0, 0, 1, -1, 1, 0, 0, 1, -4, 0, 0, 0, 0, 0),
( 0, 0, 0, 0, 0, 0, 0, 2, -4, 0, 0, 0, 0, 0),
( 0, 0, 0, 0, 0, 0, 0, -2, 4, 0, 0, 0, 0, 1),
( 0, 0, 1, -1, 1, 0, 0, -3, 4, 0, 0, 0, 0, 0),
( 0, 0, 0, 0, 0, 0, 0, -2, 4, 0, 0, 0, 0, 1),
( 0, 0, 0, 0, 0, 0, 0, -2, 4, 0, 0, 0, 0, 2),
( 0, 0, 0, 0, 0, 0, -5, 8, 0, 0, 0, 0, 0, 2),
( 0, 0, 2, -2, 2, 0, -5, 6, 0, 0, 0, 0, 0, 0),
( 0, 0, 0, 0, 0, 0, -5, 8, 0, 0, 0, 0, 0, 2),
( 0, 0, 0, 0, 0, 0, -5, 8, 0, 0, 0, 0, 0, 1),
( 0, 0, 1, -1, 1, 0, -5, 7, 0, 0, 0, 0, 0, 0),
( 0, 0, 0, 0, 0, 0, -5, 8, 0, 0, 0, 0, 0, 1),
( 0, 0, 0, 0, 0, 0, 5, -8, 0, 0, 0, 0, 0, 0),
( 0, 0, 1, -1, 2, 0, 0, -1, 0, -1, 0, 0, 0, 0),
( 0, 0, 0, 0, 1, 0, 0, 0, 0, -1, 0, 0, 0, 0),
( 0, 0, -1, 1, 0, 0, 0, 1, 0, -1, 0, 0, 0, 0),
( 0, 0, 2, -2, 1, 0, 0, -2, 0, 1, 0, 0, 0, 0),
( 0, 0, 0, 0, 0, 0, 0, -6, 11, 0, 0, 0, 0, 2),
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( 0, 0, 0, 0, 0, 0, 0, -2, 8, -3, 0, 0, 0, 2),
( 0, 0, 0, 0, 0, 0, 0, 6, -8, 1, 5, 0, 0, 2),
( 0, 0, 0, 0, 0, 0, 0, 2, 0, -2, 5, 0, 0, 2),
( 0, 0, 0, 0, 0, 0, 3, -5, 4, 0, 0, 0, 0, 2),
( 0, 0, 0, 0, 0, 0, -8, 11, 0, 0, 0, 0, 0, 2),
( 0, 0, 0, 0, 0, 0, -8, 11, 0, 0, 0, 0, 0, 1),
( 0, 0, 0, 0, 0, 0, -8, 11, 0, 0, 0, 0, 0, 2),
( 0, 0, 0, 0, 0, 0, 0, 11, 0, 0, 0, 0, 0, 2),
( 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 2),
( 0, 0, 0, 0, 0, 0, 3, -3, 0, 2, 0, 0, 0, 2),
( 0, 0, 2, -2, 1, 0, 0, 4, -8, 3, 0, 0, 0, 0),
( 0, 0, 1, -1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0),
( 0, 0, 2, -2, 1, 0, 0, -4, 8, -3, 0, 0, 0, 0),
( 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 0, 2),
( 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 2),
( 0, 0, 0, 0, 0, 0, -3, 7, 0, 0, 0, 0, 0, 2),
( 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 2),
( 0, 0, 0, 0, 0, 0, -5, 6, 0, 0, 0, 0, 0, 2),
( 0, 0, 0, 0, 0, 0, -5, 6, 0, 0, 0, 0, 0, 1),
( 0, 0, 0, 0, 0, 0, 5, -6, 0, 0, 0, 0, 0, 0),
( 0, 0, 0, 0, 0, 0, 5, -6, 0, 0, 0, 0, 0, 2),
( 0, 0, 0, 0, 0, 0, 0, 2, 0, 2, 0, 0, 0, 2),
( 0, 0, 0, 0, 0, 0, 0, -1, 6, 0, 0, 0, 0, 2),
( 0, 0, 0, 0, 0, 0, 0, 7, -9, 0, 0, 0, 0, 2),
( 0, 0, 0, 0, 0, 0, 2, -1, 0, 0, 0, 0, 0, 0),
( 0, 0, 0, 0, 0, 0, 2, -1, 0, 0, 0, 0, 0, 2),
( 0, 0, 0, 0, 0, 0, 0, 6, -7, 0, 0, 0, 0, 2),
( 0, 0, 0, 0, 0, 0, 0, 5, -5, 0, 0, 0, 0, 2),
( 0, 0, 0, 0, 0, 0, -1, 4, 0, 0, 0, 0, 0, 1),
( 0, 0, 0, 0, 0, 0, -1, 4, 0, 0, 0, 0, 0, 2),
( 0, 0, 0, 0, 0, 0, -7, 9, 0, 0, 0, 0, 0, 2),
( 0, 0, 0, 0, 0, 0, -7, 9, 0, 0, 0, 0, 0, 1),
( 0, 0, 0, 0, 0, 0, 0, 4, -3, 0, 0, 0, 0, 2),
( 0, 0, 0, 0, 0, 0, 0, 3, -1, 0, 0, 0, 0, 2),
( 0, 0, 0, 0, 0, 0, -4, 4, 0, 0, 0, 0, 0, 1),
( 0, 0, 0, 0, 0, 0, 4, -4, 0, 0, 0, 0, 0, 0),
( 0, 0, 0, 0, 0, 0, 4, -4, 0, 0, 0, 0, 0, 1),
( 0, 0, 0, 0, 0, 0, 4, -4, 0, 0, 0, 0, 0, 2),
( 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 0, 2),
( 0, 0, 0, 0, 0, 0, 0, -3, 0, 5, 0, 0, 0, 2),
( 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0),
( 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 1),
( 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 2),
( 0, 0, 0, 0, 0, 0, -9, 12, 0, 0, 0, 0, 0, 2),
( 0, 0, 0, 0, 0, 0, 0, 3, 0, -4, 0, 0, 0, 0),
( 0, 0, 2, -2, 1, 0, 1, -1, 0, 0, 0, 0, 0, 0),
( 0, 0, 0, 0, 0, 0, 0, 7, -8, 0, 0, 0, 0, 2),
( 0, 0, 0, 0, 0, 0, 0, 3, 0, -3, 0, 0, 0, 0),
( 0, 0, 0, 0, 0, 0, 0, 3, 0, -3, 0, 0, 0, 2),
( 0, 0, 0, 0, 0, 0, -2, 6, 0, 0, 0, 0, 0, 2),
( 0, 0, 0, 0, 0, 0, -6, 7, 0, 0, 0, 0, 0, 1),
( 0, 0, 0, 0, 0, 0, 6, -7, 0, 0, 0, 0, 0, 0),
( 0, 0, 0, 0, 0, 0, 0, 6, -6, 0, 0, 0, 0, 2),
( 0, 0, 0, 0, 0, 0, 0, 3, 0, -2, 0, 0, 0, 0),
( 0, 0, 0, 0, 0, 0, 0, 3, 0, -2, 0, 0, 0, 2),
( 0, 0, 0, 0, 0, 0, 0, 5, -4, 0, 0, 0, 0, 2),
( 0, 0, 0, 0, 0, 0, 3, -2, 0, 0, 0, 0, 0, 0),
( 0, 0, 0, 0, 0, 0, 3, -2, 0, 0, 0, 0, 0, 2),
( 0, 0, 0, 0, 0, 0, 0, 3, 0, -1, 0, 0, 0, 2),
( 0, 0, 0, 0, 0, 0, 0, 3, 0, -1, 0, 0, 0, 2),
( 0, 0, 0, 0, 0, 0, 0, 3, 0, 0, -2, 0, 0, 2),
( 0, 0, 0, 0, 0, 0, 0, 4, -2, 0, 0, 0, 0, 2),
( 0, 0, 0, 0, 0, 0, 0, 3, 0, 0, -1, 0, 0, 2),
( 0, 0, 2, -2, 1, 0, 0, 1, 0, -1, 0, 0, 0, 0),
( 0, 0, 0, 0, 0, 0, -8, 16, 0, 0, 0, 0, 0, 2),
( 0, 0, 0, 0, 0, 0, 0, 3, 0, 2, -5, 0, 0, 2),
( 0, 0, 0, 0, 0, 0, 0, 7, -8, 3, 0, 0, 0, 2),
( 0, 0, 0, 0, 0, 0, 0, -5, 16, -4, -5, 0, 0, 2),
( 0, 0, 0, 0, 0, 0, 0, 3, 0, 0, 0, 0, 0, 2),
( 0, 0, 0, 0, 0, 0, 0, -1, 8, -3, 0, 0, 0, 2),
( 0, 0, 0, 0, 0, 0, -8, 10, 0, 0, 0, 0, 0, 2),
( 0, 0, 0, 0, 0, 0, -8, 10, 0, 0, 0, 0, 0, 1),
( 0, 0, 0, 0, 0, 0, -8, 10, 0, 0, 0, 0, 0, 2),
( 0, 0, 0, 0, 0, 0, 0, 2, 2, 0, 0, 0, 0, 2),
( 0, 0, 0, 0, 0, 0, 0, 3, 0, 1, 0, 0, 0, 2),
( 0, 0, 0, 0, 0, 0, -3, 8, 0, 0, 0, 0, 0, 2),
( 0, 0, 0, 0, 0, 0, -5, 5, 0, 0, 0, 0, 0, 1),
( 0, 0, 0, 0, 0, 0, 5, -5, 0, 0, 0, 0, 0, 0),
( 0, 0, 0, 0, 0, 0, 5, -5, 0, 0, 0, 0, 0, 1),
( 0, 0, 0, 0, 0, 0, 5, -5, 0, 0, 0, 0, 0, 2),
( 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0),
( 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 1),
( 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 2),
( 0, 0, 0, 0, 0, 0, 0, 7, -7, 0, 0, 0, 0, 2),
( 0, 0, 0, 0, 0, 0, 0, 7, -7, 0, 0, 0, 0, 2),
( 0, 0, 0, 0, 0, 0, 0, 6, -5, 0, 0, 0, 0, 2),
( 0, 0, 0, 0, 0, 0, 7, -8, 0, 0, 0, 0, 0, 0),
( 0, 0, 0, 0, 0, 0, 0, 5, -3, 0, 0, 0, 0, 2),
( 0, 0, 0, 0, 0, 0, 4, -3, 0, 0, 0, 0, 0, 2),
( 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 0, 0, 2),
( 0, 0, 0, 0, 0, 0, -9, 11, 0, 0, 0, 0, 0, 2),
( 0, 0, 0, 0, 0, 0, -9, 11, 0, 0, 0, 0, 0, 1),
( 0, 0, 0, 0, 0, 0, 0, 4, 0, -4, 0, 0, 0, 2),
( 0, 0, 0, 0, 0, 0, 0, 4, 0, -3, 0, 0, 0, 2),
( 0, 0, 0, 0, 0, 0, -6, 6, 0, 0, 0, 0, 0, 1),
( 0, 0, 0, 0, 0, 0, 6, -6, 0, 0, 0, 0, 0, 0),
( 0, 0, 0, 0, 0, 0, 6, -6, 0, 0, 0, 0, 0, 1),
( 0, 0, 0, 0, 0, 0, 0, 4, 0, -2, 0, 0, 0, 2),
( 0, 0, 0, 0, 0, 0, 0, 6, -4, 0, 0, 0, 0, 2),
( 0, 0, 0, 0, 0, 0, 3, -1, 0, 0, 0, 0, 0, 0),
( 0, 0, 0, 0, 0, 0, 3, -1, 0, 0, 0, 0, 0, 1),
( 0, 0, 0, 0, 0, 0, 3, -1, 0, 0, 0, 0, 0, 2),
( 0, 0, 0, 0, 0, 0, 0, 4, 0, -1, 0, 0, 0, 2),
( 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, -2, 0, 0, 2),
( 0, 0, 0, 0, 0, 0, 0, 5, -2, 0, 0, 0, 0, 2),
( 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0),
( 0, 0, 0, 0, 0, 0, 8, -9, 0, 0, 0, 0, 0, 0),
( 0, 0, 0, 0, 0, 0, 5, -4, 0, 0, 0, 0, 0, 2),
( 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 0, 0, 2),
( 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 0, 0, 1),
( 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 0, 0, 1),
( 0, 0, 0, 0, 0, 0, -7, 7, 0, 0, 0, 0, 0, 1),
( 0, 0, 0, 0, 0, 0, 7, -7, 0, 0, 0, 0, 0, 0),
( 0, 0, 0, 0, 0, 0, 4, -2, 0, 0, 0, 0, 0, 1),
( 0, 0, 0, 0, 0, 0, 4, -2, 0, 0, 0, 0, 0, 2),
( 0, 0, 0, 0, 0, 0, 4, -2, 0, 0, 0, 0, 0, 0),
( 0, 0, 0, 0, 0, 0, 4, -2, 0, 0, 0, 0, 0, 0),
( 0, 0, 0, 0, 0, 0, 0, 5, 0, -4, 0, 0, 0, 2),
( 0, 0, 0, 0, 0, 0, 0, 5, 0, -3, 0, 0, 0, 2),
( 0, 0, 0, 0, 0, 0, 0, 5, 0, -2, 0, 0, 0, 2),
( 0, 0, 0, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 2),
( 0, 0, 0, 0, 0, 0, -8, 8, 0, 0, 0, 0, 0, 1),
( 0, 0, 0, 0, 0, 0, 8, -8, 0, 0, 0, 0, 0, 0),
( 0, 0, 0, 0, 0, 0, 5, -3, 0, 0, 0, 0, 0, 1),
( 0, 0, 0, 0, 0, 0, 5, -3, 0, 0, 0, 0, 0, 2),
( 0, 0, 0, 0, 0, 0, -9, 9, 0, 0, 0, 0, 0, 1),
( 0, 0, 0, 0, 0, 0, -9, 9, 0, 0, 0, 0, 0, 1),
( 0, 0, 0, 0, 0, 0, -9, 9, 0, 0, 0, 0, 0, 1),
( 0, 0, 0, 0, 0, 0, 9, -9, 0, 0, 0, 0, 0, 0),
( 0, 0, 0, 0, 0, 0, 6, -4, 0, 0, 0, 0, 0, 1),
( 0, 0, 0, 0, 0, 0, 0, 6, 0, 0, 0, 0, 0, 2),
( 0, 0, 0, 0, 0, 0, 0, 6, 0, 0, 0, 0, 0, 0),
( 0, 0, 0, 0, 0, 0, 0, 6, 0, 0, 0, 0, 0, 0),
( 0, 0, 0, 0, 0, 0, 0, 6, 0, 0, 0, 0, 0, 1),
( 0, 0, 0, 0, 0, 0, 0, 6, 0, 0, 0, 0, 0, 2),
( 0, 0, 0, 0, 0, 0, 0, 6, 0, 0, 0, 0, 0, 0),
( 0, 0, 0, 0, 0, 0, 0, 6, 0, 0, 0, 0, 0, 1),
( 0, 0, 0, 0, 0, 0, 0, 6, 0, 0, 0, 0, 0, 2),
( 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2),
( 1, 0, 0, -2, 0, 0, 0, 2, 0, -2, 0, 0, 0, 0),
( 1, 0, 0, -2, 0, 0, 2, -2, 0, 0, 0, 0, 0, 0),
( 1, 0, 0, -2, 0, 0, 0, 1, 0, -1, 0, 0, 0, 0),
( 1, 0, 0, -2, 0, 0, 1, -1, 0, 0, 0, 0, 0, 0),
(-1, 0, 0, 0, 0, 0, 3, -3, 0, 0, 0, 0, 0, 0),
(-1, 0, 0, 0, 0, 0, 0, 2, 0, -2, 0, 0, 0, 0),
(-1, 0, 0, 2, 0, 0, 0, 4, -8, 3, 0, 0, 0, 0),
( 1, 0, 0, -2, 0, 0, 0, 4, -8, 3, 0, 0, 0, 0),
(-2, 0, 0, 2, 0, 0, 0, 4, -8, 3, 0, 0, 0, 0),
(-1, 0, 0, 0, 0, 0, 0, 2, 0, -3, 0, 0, 0, 0),
(-1, 0, 0, 0, 0, 0, 0, 1, 0, -1, 0, 0, 0, 0),
(-1, 0, 0, 0, 0, 0, 1, -1, 0, 0, 0, 0, 0, 0),
(-1, 0, 0, 2, 0, 0, 2, -2, 0, 0, 0, 0, 0, 0),
( 1, 0, -1, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0),
(-1, 0, 0, 2, 0, 0, 0, 2, 0, -3, 0, 0, 0, 0),
(-2, 0, 0, 0, 0, 0, 0, 2, 0, -3, 0, 0, 0, 0),
( 1, 0, 0, 0, 0, 0, 0, 4, -8, 3, 0, 0, 0, 0),
(-1, 0, 1, -1, 1, 0, 0, -1, 0, 0, 0, 0, 0, 0),
( 1, 0, 1, -1, 1, 0, 0, -1, 0, 0, 0, 0, 0, 0),
(-1, 0, 0, 0, 0, 0, 0, 4, -8, 3, 0, 0, 0, 0),
(-1, 0, 0, 2, 1, 0, 0, 2, 0, -2, 0, 0, 0, 0),
( 0, 0, 0, 0, 0, 0, 0, 2, 0, -2, 0, 0, 0, 0),
(-1, 0, 0, 2, 0, 0, 0, 2, 0, -2, 0, 0, 0, 0),
(-1, 0, 0, 2, 0, 0, 3, -3, 0, 0, 0, 0, 0, 0),
( 1, 0, 0, -2, 1, 0, 0, -2, 0, 2, 0, 0, 0, 0),
( 1, 0, 2, -2, 2, 0, -3, 3, 0, 0, 0, 0, 0, 0),
( 1, 0, 2, -2, 2, 0, 0, -2, 0, 2, 0, 0, 0, 0),
( 1, 0, 0, 0, 0, 0, 1, -1, 0, 0, 0, 0, 0, 0),
( 1, 0, 0, 0, 0, 0, 0, 1, 0, -1, 0, 0, 0, 0),
( 0, 0, 0, -2, 0, 0, 2, -2, 0, 0, 0, 0, 0, 0),
( 0, 0, 0, -2, 0, 0, 0, 1, 0, -1, 0, 0, 0, 0),
( 0, 0, 2, 0, 2, 0, -2, 2, 0, 0, 0, 0, 0, 0),
( 0, 0, 2, 0, 2, 0, 0, -1, 0, 1, 0, 0, 0, 0),
( 0, 0, 2, 0, 2, 0, -1, 1, 0, 0, 0, 0, 0, 0),
( 0, 0, 2, 0, 2, 0, -2, 3, 0, 0, 0, 0, 0, 0),
( 0, 0, 0, 2, 0, 0, 0, 2, 0, -2, 0, 0, 0, 0),
( 0, 0, 1, 1, 2, 0, 0, 1, 0, 0, 0, 0, 0, 0),
( 1, 0, 2, 0, 2, 0, 0, 1, 0, 0, 0, 0, 0, 0),
(-1, 0, 2, 0, 2, 0, 10, -3, 0, 0, 0, 0, 0, 0),
( 0, 0, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0),
( 1, 0, 2, 0, 2, 0, 0, 1, 0, 0, 0, 0, 0, 0),
( 0, 0, 2, 0, 2, 0, 0, 4, -8, 3, 0, 0, 0, 0),
( 0, 0, 2, 0, 2, 0, 0, -4, 8, -3, 0, 0, 0, 0),
(-1, 0, 2, 0, 2, 0, 0, -4, 8, -3, 0, 0, 0, 0),
( 2, 0, 2, -2, 2, 0, 0, -2, 0, 3, 0, 0, 0, 0),
( 1, 0, 2, 0, 1, 0, 0, -2, 0, 3, 0, 0, 0, 0),
( 0, 0, 1, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0),
(-1, 0, 2, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0),
(-2, 0, 2, 2, 2, 0, 0, 2, 0, -2, 0, 0, 0, 0),
( 0, 0, 2, 0, 2, 0, 2, -3, 0, 0, 0, 0, 0, 0),
( 0, 0, 2, 0, 2, 0, 1, -1, 0, 0, 0, 0, 0, 0),
( 0, 0, 2, 0, 2, 0, 0, 1, 0, -1, 0, 0, 0, 0),
( 0, 0, 2, 0, 2, 0, 2, -2, 0, 0, 0, 0, 0, 0),
(-1, 0, 2, 2, 2, 0, 0, -1, 0, 1, 0, 0, 0, 0),
( 1, 0, 2, 0, 2, 0, -1, 1, 0, 0, 0, 0, 0, 0),
(-1, 0, 2, 2, 2, 0, 0, 2, 0, -3, 0, 0, 0, 0),
( 2, 0, 2, 0, 2, 0, 0, 2, 0, -3, 0, 0, 0, 0),
( 1, 0, 2, 0, 2, 0, 0, -4, 8, -3, 0, 0, 0, 0),
( 1, 0, 2, 0, 2, 0, 0, 4, -8, 3, 0, 0, 0, 0),
( 1, 0, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0),
( 0, 0, 2, 0, 2, 0, 0, 1, 0, 0, 0, 0, 0, 0),
( 2, 0, 2, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0),
(-1, 0, 2, 2, 2, 0, 0, 2, 0, -2, 0, 0, 0, 0),
(-1, 0, 2, 2, 2, 0, 3, -3, 0, 0, 0, 0, 0, 0),
( 1, 0, 2, 0, 2, 0, 1, -1, 0, 0, 0, 0, 0, 0),
( 0, 0, 2, 2, 2, 0, 0, 2, 0, -2, 0, 0, 0, 0),
))
# Planetary nutation coefficients, unit 1e-7 arcsec:
# longitude (sin, cos), obliquity (sin, cos)
# Each row of coefficients in 'cpl_t' belongs with the corresponding
# row of fundamental-argument multipliers in 'napl_t'.
nutation_coefficients = array((
( 1440.0, 0.0, 0.0, 0.0),
( 56.0, -117.0, -42.0, -40.0),
( 125.0, -43.0, 0.0, -54.0),
( 0.0, 5.0, 0.0, 0.0),
( 3.0, -7.0, -3.0, 0.0),
( 3.0, 0.0, 0.0, -2.0),
( -114.0, 0.0, 0.0, 61.0),
( -219.0, 89.0, 0.0, 0.0),
( -3.0, 0.0, 0.0, 0.0),
( -462.0, 1604.0, 0.0, 0.0),
( 99.0, 0.0, 0.0, -53.0),
( -3.0, 0.0, 0.0, 2.0),
( 0.0, 6.0, 2.0, 0.0),
( 3.0, 0.0, 0.0, 0.0),
( -12.0, 0.0, 0.0, 0.0),
( 14.0, -218.0, 117.0, 8.0),
( 31.0, -481.0, -257.0, -17.0),
( -491.0, 128.0, 0.0, 0.0),
(-3084.0, 5123.0, 2735.0, 1647.0),
(-1444.0, 2409.0, -1286.0, -771.0),
( 11.0, -24.0, -11.0, -9.0),
( 26.0, -9.0, 0.0, 0.0),
( 103.0, -60.0, 0.0, 0.0),
( 0.0, -13.0, -7.0, 0.0),
( -26.0, -29.0, -16.0, 14.0),
( 9.0, -27.0, -14.0, -5.0),
( 12.0, 0.0, 0.0, -6.0),
( -7.0, 0.0, 0.0, 0.0),
( 0.0, 24.0, 0.0, 0.0),
( 284.0, 0.0, 0.0, -151.0),
( 226.0, 101.0, 0.0, 0.0),
( 0.0, -8.0, -2.0, 0.0),
( 0.0, -6.0, -3.0, 0.0),
( 5.0, 0.0, 0.0, -3.0),
( -41.0, 175.0, 76.0, 17.0),
( 0.0, 15.0, 6.0, 0.0),
( 425.0, 212.0, -133.0, 269.0),
( 1200.0, 598.0, 319.0, -641.0),
( 235.0, 334.0, 0.0, 0.0),
( 11.0, -12.0, -7.0, -6.0),
( 5.0, -6.0, 3.0, 3.0),
( -5.0, 0.0, 0.0, 3.0),
( 6.0, 0.0, 0.0, -3.0),
( 15.0, 0.0, 0.0, 0.0),
( 13.0, 0.0, 0.0, -7.0),
( -6.0, -9.0, 0.0, 0.0),
( 266.0, -78.0, 0.0, 0.0),
( -460.0, -435.0, -232.0, 246.0),
( 0.0, 15.0, 7.0, 0.0),
( -3.0, 0.0, 0.0, 2.0),
( 0.0, 131.0, 0.0, 0.0),
( 4.0, 0.0, 0.0, 0.0),
( 0.0, 3.0, 0.0, 0.0),
( 0.0, 4.0, 2.0, 0.0),
( 0.0, 3.0, 0.0, 0.0),
( -17.0, -19.0, -10.0, 9.0),
( -9.0, -11.0, 6.0, -5.0),
( -6.0, 0.0, 0.0, 3.0),
( -16.0, 8.0, 0.0, 0.0),
( 0.0, 3.0, 0.0, 0.0),
( 11.0, 24.0, 11.0, -5.0),
( -3.0, -4.0, -2.0, 1.0),
( 3.0, 0.0, 0.0, -1.0),
( 0.0, -8.0, -4.0, 0.0),
( 0.0, 3.0, 0.0, 0.0),
( 0.0, 5.0, 0.0, 0.0),
( 0.0, 3.0, 2.0, 0.0),
( -6.0, 4.0, 2.0, 3.0),
( -3.0, -5.0, 0.0, 0.0),
( -5.0, 0.0, 0.0, 2.0),
( 4.0, 24.0, 13.0, -2.0),
( -42.0, 20.0, 0.0, 0.0),
( -10.0, 233.0, 0.0, 0.0),
( -3.0, 0.0, 0.0, 1.0),
( 78.0, -18.0, 0.0, 0.0),
( 0.0, 3.0, 1.0, 0.0),
( 0.0, -3.0, -1.0, 0.0),
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( 0.0, -4.0, 2.0, 0.0),
( -89.0, 0.0, 0.0, 38.0),
( 0.0, -86.0, -19.0, -6.0),
( 0.0, 0.0, -19.0, 6.0),
( -123.0, -416.0, -180.0, 53.0),
( 0.0, -3.0, -1.0, 0.0),
( 12.0, -6.0, -3.0, -5.0),
( -13.0, 9.0, 4.0, 6.0),
( 0.0, -15.0, -7.0, 0.0),
( 3.0, 0.0, 0.0, -1.0),
( -62.0, -97.0, -42.0, 27.0),
( -11.0, 5.0, 2.0, 5.0),
( 0.0, -19.0, -8.0, 0.0),
( -3.0, 0.0, 0.0, 1.0),
( 0.0, 4.0, 2.0, 0.0),
( 0.0, 3.0, 0.0, 0.0),
( 0.0, 4.0, 2.0, 0.0),
( -85.0, -70.0, -31.0, 37.0),
( 163.0, -12.0, -5.0, -72.0),
( -63.0, -16.0, -7.0, 28.0),
( -21.0, -32.0, -14.0, 9.0),
( 0.0, -3.0, -1.0, 0.0),
( 3.0, 0.0, 0.0, -2.0),
( 0.0, 8.0, 0.0, 0.0),
( 3.0, 10.0, 4.0, -1.0),
( 3.0, 0.0, 0.0, -1.0),
( 0.0, -7.0, -3.0, 0.0),
( 0.0, -4.0, -2.0, 0.0),
( 6.0, 19.0, 0.0, 0.0),
( 5.0, -173.0, -75.0, -2.0),
( 0.0, -7.0, -3.0, 0.0),
( 7.0, -12.0, -5.0, -3.0),
( -3.0, 0.0, 0.0, 2.0),
( 3.0, -4.0, -2.0, -1.0),
( 74.0, 0.0, 0.0, -32.0),
( -3.0, 12.0, 6.0, 2.0),
( 26.0, -14.0, -6.0, -11.0),
( 19.0, 0.0, 0.0, -8.0),
( 6.0, 24.0, 13.0, -3.0),
( 83.0, 0.0, 0.0, 0.0),
( 0.0, -10.0, -5.0, 0.0),
( 11.0, -3.0, -1.0, -5.0),
( 3.0, 0.0, 1.0, -1.0),
( 3.0, 0.0, 0.0, -1.0),
( -4.0, 0.0, 0.0, 0.0),
( 5.0, -23.0, -12.0, -3.0),
( -339.0, 0.0, 0.0, 147.0),
( 0.0, -10.0, -5.0, 0.0),
( 5.0, 0.0, 0.0, 0.0),
( 3.0, 0.0, 0.0, -1.0),
( 0.0, -4.0, -2.0, 0.0),
( 18.0, -3.0, 0.0, 0.0),
( 9.0, -11.0, -5.0, -4.0),
( -8.0, 0.0, 0.0, 4.0),
( 3.0, 0.0, 0.0, -1.0),
( 0.0, 9.0, 0.0, 0.0),
( 6.0, -9.0, -4.0, -2.0),
( -4.0, -12.0, 0.0, 0.0),
( 67.0, -91.0, -39.0, -29.0),
( 30.0, -18.0, -8.0, -13.0),
( 0.0, 0.0, 0.0, 0.0),
( 0.0, -114.0, -50.0, 0.0),
( 0.0, 0.0, 0.0, 23.0),
( 517.0, 16.0, 7.0, -224.0),
( 0.0, -7.0, -3.0, 0.0),
( 143.0, -3.0, -1.0, -62.0),
( 29.0, 0.0, 0.0, -13.0),
( -4.0, 0.0, 0.0, 2.0),
( -6.0, 0.0, 0.0, 3.0),
( 5.0, 12.0, 5.0, -2.0),
( -25.0, 0.0, 0.0, 11.0),
( -3.0, 0.0, 0.0, 1.0),
( 0.0, 4.0, 2.0, 0.0),
( -22.0, 12.0, 5.0, 10.0),
( 50.0, 0.0, 0.0, -22.0),
( 0.0, 7.0, 4.0, 0.0),
( 0.0, 3.0, 1.0, 0.0),
( -4.0, 4.0, 2.0, 2.0),
( -5.0, -11.0, -5.0, 2.0),
( 0.0, 4.0, 2.0, 0.0),
( 4.0, 17.0, 9.0, -2.0),
( 59.0, 0.0, 0.0, 0.0),
( 0.0, -4.0, -2.0, 0.0),
( -8.0, 0.0, 0.0, 4.0),
( -3.0, 0.0, 0.0, 0.0),
( 4.0, -15.0, -8.0, -2.0),
( 370.0, -8.0, 0.0, -160.0),
( 0.0, 0.0, -3.0, 0.0),
( 0.0, 3.0, 1.0, 0.0),
( -6.0, 3.0, 1.0, 3.0),
( 0.0, 6.0, 0.0, 0.0),
( -10.0, 0.0, 0.0, 4.0),
( 0.0, 9.0, 4.0, 0.0),
( 4.0, 17.0, 7.0, -2.0),
( 34.0, 0.0, 0.0, -15.0),
( 0.0, 5.0, 3.0, 0.0),
( -5.0, 0.0, 0.0, 2.0),
( -37.0, -7.0, -3.0, 16.0),
( 3.0, 13.0, 7.0, -2.0),
( 40.0, 0.0, 0.0, 0.0),
( 0.0, -3.0, -2.0, 0.0),
( -184.0, -3.0, -1.0, 80.0),
( -3.0, 0.0, 0.0, 1.0),
( -3.0, 0.0, 0.0, 0.0),
( 0.0, -10.0, -6.0, -1.0),
( 31.0, -6.0, 0.0, -13.0),
( -3.0, -32.0, -14.0, 1.0),
( -7.0, 0.0, 0.0, 3.0),
( 0.0, -8.0, -4.0, 0.0),
( 3.0, -4.0, 0.0, 0.0),
( 0.0, 4.0, 0.0, 0.0),
( 0.0, 3.0, 1.0, 0.0),
( 19.0, -23.0, -10.0, 2.0),
( 0.0, 0.0, 0.0, -10.0),
( 0.0, 3.0, 2.0, 0.0),
( 0.0, 9.0, 5.0, -1.0),
( 28.0, 0.0, 0.0, 0.0),
( 0.0, -7.0, -4.0, 0.0),
( 8.0, -4.0, 0.0, -4.0),
( 0.0, 0.0, -2.0, 0.0),
( 0.0, 3.0, 0.0, 0.0),
( -3.0, 0.0, 0.0, 1.0),
( -9.0, 0.0, 1.0, 4.0),
( 3.0, 12.0, 5.0, -1.0),
( 17.0, -3.0, -1.0, 0.0),
( 0.0, 7.0, 4.0, 0.0),
( 19.0, 0.0, 0.0, 0.0),
( 0.0, -5.0, -3.0, 0.0),
( 14.0, -3.0, 0.0, -1.0),
( 0.0, 0.0, -1.0, 0.0),
( 0.0, 0.0, 0.0, -5.0),
( 0.0, 5.0, 3.0, 0.0),
( 13.0, 0.0, 0.0, 0.0),
( 0.0, -3.0, -2.0, 0.0),
( 2.0, 9.0, 4.0, 3.0),
( 0.0, 0.0, 0.0, -4.0),
( 8.0, 0.0, 0.0, 0.0),
( 0.0, 4.0, 2.0, 0.0),
( 6.0, 0.0, 0.0, -3.0),
( 6.0, 0.0, 0.0, 0.0),
( 0.0, 3.0, 1.0, 0.0),
( 5.0, 0.0, 0.0, -2.0),
( 3.0, 0.0, 0.0, -1.0),
( -3.0, 0.0, 0.0, 0.0),
( 6.0, 0.0, 0.0, 0.0),
( 7.0, 0.0, 0.0, 0.0),
( -4.0, 0.0, 0.0, 0.0),
( 4.0, 0.0, 0.0, 0.0),
( 6.0, 0.0, 0.0, 0.0),
( 0.0, -4.0, 0.0, 0.0),
( 0.0, -4.0, 0.0, 0.0),
( 5.0, 0.0, 0.0, 0.0),
( -3.0, 0.0, 0.0, 0.0),
( 4.0, 0.0, 0.0, 0.0),
( -5.0, 0.0, 0.0, 0.0),
( 4.0, 0.0, 0.0, 0.0),
( 0.0, 3.0, 0.0, 0.0),
( 13.0, 0.0, 0.0, 0.0),
( 21.0, 11.0, 0.0, 0.0),
( 0.0, -5.0, 0.0, 0.0),
( 0.0, -5.0, -2.0, 0.0),
( 0.0, 5.0, 3.0, 0.0),
( 0.0, -5.0, 0.0, 0.0),
( -3.0, 0.0, 0.0, 2.0),
( 20.0, 10.0, 0.0, 0.0),
( -34.0, 0.0, 0.0, 0.0),
( -19.0, 0.0, 0.0, 0.0),
( 3.0, 0.0, 0.0, -2.0),
( -3.0, 0.0, 0.0, 1.0),
( -6.0, 0.0, 0.0, 3.0),
( -4.0, 0.0, 0.0, 0.0),
( 3.0, 0.0, 0.0, 0.0),
( 3.0, 0.0, 0.0, 0.0),
( 4.0, 0.0, 0.0, 0.0),
( 3.0, 0.0, 0.0, -1.0),
( 6.0, 0.0, 0.0, -3.0),
( -8.0, 0.0, 0.0, 3.0),
( 0.0, 3.0, 1.0, 0.0),
( -3.0, 0.0, 0.0, 0.0),
( 0.0, -3.0, -2.0, 0.0),
( 126.0, -63.0, -27.0, -55.0),
( -5.0, 0.0, 1.0, 2.0),
( -3.0, 28.0, 15.0, 2.0),
( 5.0, 0.0, 1.0, -2.0),
( 0.0, 9.0, 4.0, 1.0),
( 0.0, 9.0, 4.0, -1.0),
( -126.0, -63.0, -27.0, 55.0),
( 3.0, 0.0, 0.0, -1.0),
( 21.0, -11.0, -6.0, -11.0),
( 0.0, -4.0, 0.0, 0.0),
( -21.0, -11.0, -6.0, 11.0),
( -3.0, 0.0, 0.0, 1.0),
( 0.0, 3.0, 1.0, 0.0),
( 8.0, 0.0, 0.0, -4.0),
( -6.0, 0.0, 0.0, 3.0),
( -3.0, 0.0, 0.0, 1.0),
( 3.0, 0.0, 0.0, -1.0),
( -3.0, 0.0, 0.0, 1.0),
( -5.0, 0.0, 0.0, 2.0),
( 24.0, -12.0, -5.0, -11.0),
( 0.0, 3.0, 1.0, 0.0),
( 0.0, 3.0, 1.0, 0.0),
( 0.0, 3.0, 2.0, 0.0),
( -24.0, -12.0, -5.0, 10.0),
( 4.0, 0.0, -1.0, -2.0),
( 13.0, 0.0, 0.0, -6.0),
( 7.0, 0.0, 0.0, -3.0),
( 3.0, 0.0, 0.0, -1.0),
( 3.0, 0.0, 0.0, -1.0),
))
nutation_coefficients_longitude = nutation_coefficients[:,:2]
nutation_coefficients_obliquity = nutation_coefficients[:,2:]
| 54.4951 | 77 | 0.208658 | 28,747 | 172,368 | 1.247261 | 0.030473 | 0.754818 | 0.853856 | 0.820639 | 0.819021 | 0.751471 | 0.734681 | 0.677535 | 0.635225 | 0.581091 | 0 | 0.423079 | 0.574509 | 172,368 | 3,162 | 78 | 54.512334 | 0.065802 | 0.022597 | 0 | 0.225774 | 0 | 0 | 0.000089 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.002019 | false | 0 | 0.000673 | 0 | 0.005047 | 0 | 0 | 0 | 1 | null | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10 |
2f1979393c431a5b1f4889116fd1b10e64f50427 | 270 | py | Python | socialregistration/middleware.py | guitarparty/django-socialregistration | d1d34890c9f72a191723d0192398791f71ee6956 | [
"MIT"
] | 63 | 2015-01-27T16:52:03.000Z | 2021-08-29T04:23:51.000Z | socialregistration/middleware.py | assiotis/django-socialregistration | b9ac4ce0a8251bd915022816355e6f02e1cab291 | [
"MIT"
] | 3 | 2016-05-26T07:46:53.000Z | 2022-02-16T15:25:16.000Z | socialregistration/middleware.py | assiotis/django-socialregistration | b9ac4ce0a8251bd915022816355e6f02e1cab291 | [
"MIT"
] | 23 | 2015-02-02T13:33:46.000Z | 2020-10-25T20:02:53.000Z | import warnings
from socialregistration.contrib.facebook.middleware import FacebookMiddleware
warnings.warn("'socialregistration.middleware.FacebookMiddleware' will be removed. "
"Use 'socialregistration.contrib.facebook.middleware.FacebookMiddleware' instead.")
| 33.75 | 87 | 0.840741 | 24 | 270 | 9.458333 | 0.583333 | 0.220264 | 0.290749 | 0.378855 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.077778 | 270 | 7 | 88 | 38.571429 | 0.911647 | 0 | 0 | 0 | 0 | 0 | 0.550186 | 0.434944 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.5 | 0 | 0.5 | 0 | 1 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 8 |
2f33498b9bff6c8c3c6ce1dfa75bf2a45446e1ce | 17,449 | py | Python | habitat/sensors/migrations/0001_initial.py | matrach/habitatOS | 1ae2a3caf6f279cf6d6d20bcd81f24d50f61d7d3 | [
"MIT"
] | 1 | 2021-02-01T19:04:39.000Z | 2021-02-01T19:04:39.000Z | habitat/sensors/migrations/0001_initial.py | matrach/habitatOS | 1ae2a3caf6f279cf6d6d20bcd81f24d50f61d7d3 | [
"MIT"
] | null | null | null | habitat/sensors/migrations/0001_initial.py | matrach/habitatOS | 1ae2a3caf6f279cf6d6d20bcd81f24d50f61d7d3 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by Django 1.11.5 on 2017-09-29 18:53
from __future__ import unicode_literals
import django.core.validators
from django.db import migrations, models
import django.db.models.deletion
import habitat.timezone.models.martian_standard_time
class Migration(migrations.Migration):
initial = True
dependencies = [
('building', '0001_initial'),
]
operations = [
migrations.CreateModel(
name='CarbonDioxide',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('created', models.DateTimeField(auto_now_add=True, db_index=True, verbose_name='Add Datetime')),
('modified', models.DateTimeField(auto_now=True, db_index=True, verbose_name='Modified Datetime')),
('date', models.CharField(default=habitat.timezone.models.martian_standard_time.MartianStandardTime.date, help_text='example: 51099.420109', max_length=15, verbose_name='Mars Sol Date')),
('time', models.TimeField(default=habitat.timezone.models.martian_standard_time.MartianStandardTime.time, help_text='example: 51099.420109', verbose_name='Coordinated Mars Time')),
('value', models.DecimalField(decimal_places=3, help_text='%', max_digits=5, validators=[django.core.validators.MinValueValidator(0), django.core.validators.MaxValueValidator(100)], verbose_name='Concentration')),
('location', models.ForeignKey(blank=True, default=None, null=True, on_delete=django.db.models.deletion.CASCADE, to='building.Module', verbose_name='Location')),
],
options={
'verbose_name': 'Carbon Dioxide Concentration Measurement',
'verbose_name_plural': 'Carbon Dioxide',
},
),
migrations.CreateModel(
name='CarbonMonoxide',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('created', models.DateTimeField(auto_now_add=True, db_index=True, verbose_name='Add Datetime')),
('modified', models.DateTimeField(auto_now=True, db_index=True, verbose_name='Modified Datetime')),
('date', models.CharField(default=habitat.timezone.models.martian_standard_time.MartianStandardTime.date, help_text='example: 51099.420109', max_length=15, verbose_name='Mars Sol Date')),
('time', models.TimeField(default=habitat.timezone.models.martian_standard_time.MartianStandardTime.time, help_text='example: 51099.420109', verbose_name='Coordinated Mars Time')),
('value', models.DecimalField(decimal_places=3, help_text='%', max_digits=5, validators=[django.core.validators.MinValueValidator(0), django.core.validators.MaxValueValidator(100)], verbose_name='Concentration')),
('location', models.ForeignKey(blank=True, default=None, null=True, on_delete=django.db.models.deletion.CASCADE, to='building.Module', verbose_name='Location')),
],
options={
'verbose_name': 'Carbon Monoxide Concentration Measurement',
'verbose_name_plural': 'Carbon Monoxide',
},
),
migrations.CreateModel(
name='Humidity',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('created', models.DateTimeField(auto_now_add=True, db_index=True, verbose_name='Add Datetime')),
('modified', models.DateTimeField(auto_now=True, db_index=True, verbose_name='Modified Datetime')),
('date', models.CharField(default=habitat.timezone.models.martian_standard_time.MartianStandardTime.date, help_text='example: 51099.420109', max_length=15, verbose_name='Mars Sol Date')),
('time', models.TimeField(default=habitat.timezone.models.martian_standard_time.MartianStandardTime.time, help_text='example: 51099.420109', verbose_name='Coordinated Mars Time')),
('value', models.DecimalField(decimal_places=1, help_text='%', max_digits=3, validators=[django.core.validators.MinValueValidator(0), django.core.validators.MaxValueValidator(100)], verbose_name='Humidity')),
('location', models.ForeignKey(blank=True, default=None, null=True, on_delete=django.db.models.deletion.CASCADE, to='building.Module', verbose_name='Location')),
],
options={
'verbose_name': 'Humidity Measurement',
'verbose_name_plural': 'Humidity',
},
),
migrations.CreateModel(
name='Illuminance',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('created', models.DateTimeField(auto_now_add=True, db_index=True, verbose_name='Add Datetime')),
('modified', models.DateTimeField(auto_now=True, db_index=True, verbose_name='Modified Datetime')),
('date', models.CharField(default=habitat.timezone.models.martian_standard_time.MartianStandardTime.date, help_text='example: 51099.420109', max_length=15, verbose_name='Mars Sol Date')),
('time', models.TimeField(default=habitat.timezone.models.martian_standard_time.MartianStandardTime.time, help_text='example: 51099.420109', verbose_name='Coordinated Mars Time')),
('value', models.PositiveSmallIntegerField(default=None, help_text='Lux', verbose_name='Illuminance')),
('location', models.ForeignKey(blank=True, default=None, null=True, on_delete=django.db.models.deletion.CASCADE, to='building.Module', verbose_name='Location')),
],
options={
'verbose_name': 'Illuminance Measurement',
'verbose_name_plural': 'Illuminance',
},
),
migrations.CreateModel(
name='Network',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('created', models.DateTimeField(auto_now_add=True, db_index=True, verbose_name='Add Datetime')),
('modified', models.DateTimeField(auto_now=True, db_index=True, verbose_name='Modified Datetime')),
('date', models.CharField(default=habitat.timezone.models.martian_standard_time.MartianStandardTime.date, help_text='example: 51099.420109', max_length=15, verbose_name='Mars Sol Date')),
('time', models.TimeField(default=habitat.timezone.models.martian_standard_time.MartianStandardTime.time, help_text='example: 51099.420109', verbose_name='Coordinated Mars Time')),
('value', models.DecimalField(decimal_places=2, default=None, help_text='Mbps', max_digits=5, verbose_name='Value')),
('location', models.ForeignKey(blank=True, default=None, null=True, on_delete=django.db.models.deletion.CASCADE, to='building.Module', verbose_name='Location')),
],
options={
'verbose_name': 'Network Performance Measurement',
'verbose_name_plural': 'Network Performance',
},
),
migrations.CreateModel(
name='Oxygen',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('created', models.DateTimeField(auto_now_add=True, db_index=True, verbose_name='Add Datetime')),
('modified', models.DateTimeField(auto_now=True, db_index=True, verbose_name='Modified Datetime')),
('date', models.CharField(default=habitat.timezone.models.martian_standard_time.MartianStandardTime.date, help_text='example: 51099.420109', max_length=15, verbose_name='Mars Sol Date')),
('time', models.TimeField(default=habitat.timezone.models.martian_standard_time.MartianStandardTime.time, help_text='example: 51099.420109', verbose_name='Coordinated Mars Time')),
('value', models.DecimalField(decimal_places=2, help_text='%', max_digits=4, validators=[django.core.validators.MinValueValidator(0), django.core.validators.MaxValueValidator(100)], verbose_name='Concentration')),
('location', models.ForeignKey(blank=True, default=None, null=True, on_delete=django.db.models.deletion.CASCADE, to='building.Module', verbose_name='Location')),
],
options={
'verbose_name': 'Oxygen Concentration Measurement',
'verbose_name_plural': 'Oxygen',
},
),
migrations.CreateModel(
name='Pressure',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('created', models.DateTimeField(auto_now_add=True, db_index=True, verbose_name='Add Datetime')),
('modified', models.DateTimeField(auto_now=True, db_index=True, verbose_name='Modified Datetime')),
('date', models.CharField(default=habitat.timezone.models.martian_standard_time.MartianStandardTime.date, help_text='example: 51099.420109', max_length=15, verbose_name='Mars Sol Date')),
('time', models.TimeField(default=habitat.timezone.models.martian_standard_time.MartianStandardTime.time, help_text='example: 51099.420109', verbose_name='Coordinated Mars Time')),
('value', models.DecimalField(decimal_places=2, default=None, help_text='hPa', max_digits=6, validators=[django.core.validators.MinValueValidator(0), django.core.validators.MaxValueValidator(2000)], verbose_name='Pressure')),
('location', models.ForeignKey(blank=True, default=None, null=True, on_delete=django.db.models.deletion.CASCADE, to='building.Module', verbose_name='Location')),
],
options={
'verbose_name': 'Pressure Measurement',
'verbose_name_plural': 'Pressure',
},
),
migrations.CreateModel(
name='Radiation',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('created', models.DateTimeField(auto_now_add=True, db_index=True, verbose_name='Add Datetime')),
('modified', models.DateTimeField(auto_now=True, db_index=True, verbose_name='Modified Datetime')),
('date', models.CharField(default=habitat.timezone.models.martian_standard_time.MartianStandardTime.date, help_text='example: 51099.420109', max_length=15, verbose_name='Mars Sol Date')),
('time', models.TimeField(default=habitat.timezone.models.martian_standard_time.MartianStandardTime.time, help_text='example: 51099.420109', verbose_name='Coordinated Mars Time')),
('value', models.DecimalField(decimal_places=5, default=None, help_text='Sievert', max_digits=6, verbose_name='Radiation')),
('location', models.ForeignKey(blank=True, default=None, null=True, on_delete=django.db.models.deletion.CASCADE, to='building.Module', verbose_name='Location')),
],
options={
'verbose_name': 'Radiation Measurement',
'verbose_name_plural': 'Radiation',
},
),
migrations.CreateModel(
name='Temperature',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('created', models.DateTimeField(auto_now_add=True, db_index=True, verbose_name='Add Datetime')),
('modified', models.DateTimeField(auto_now=True, db_index=True, verbose_name='Modified Datetime')),
('date', models.CharField(default=habitat.timezone.models.martian_standard_time.MartianStandardTime.date, help_text='example: 51099.420109', max_length=15, verbose_name='Mars Sol Date')),
('time', models.TimeField(default=habitat.timezone.models.martian_standard_time.MartianStandardTime.time, help_text='example: 51099.420109', verbose_name='Coordinated Mars Time')),
('value', models.DecimalField(decimal_places=2, default=None, max_digits=5, verbose_name='Temperature')),
('unit', models.CharField(choices=[('celsius', 'Celsius'), ('kelvin', 'Kelvin'), ('fahrenheit', 'Fahrenheit')], default='celsius', max_length=10, verbose_name='Unit')),
('location', models.ForeignKey(blank=True, default=None, null=True, on_delete=django.db.models.deletion.CASCADE, to='building.Module', verbose_name='Location')),
],
options={
'verbose_name': 'Temperature Measurement',
'verbose_name_plural': 'Temperature',
},
),
migrations.CreateModel(
name='Voltage',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('created', models.DateTimeField(auto_now_add=True, db_index=True, verbose_name='Add Datetime')),
('modified', models.DateTimeField(auto_now=True, db_index=True, verbose_name='Modified Datetime')),
('date', models.CharField(default=habitat.timezone.models.martian_standard_time.MartianStandardTime.date, help_text='example: 51099.420109', max_length=15, verbose_name='Mars Sol Date')),
('time', models.TimeField(default=habitat.timezone.models.martian_standard_time.MartianStandardTime.time, help_text='example: 51099.420109', verbose_name='Coordinated Mars Time')),
('value', models.DecimalField(decimal_places=3, default=None, help_text='Volts', max_digits=6, verbose_name='Value')),
('location', models.ForeignKey(blank=True, default=None, null=True, on_delete=django.db.models.deletion.CASCADE, to='building.Module', verbose_name='Location')),
],
options={
'verbose_name': 'Voltage Measurement',
'verbose_name_plural': 'Voltage',
},
),
migrations.CreateModel(
name='Weather',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('created', models.DateTimeField(auto_now_add=True, db_index=True, verbose_name='Add Datetime')),
('modified', models.DateTimeField(auto_now=True, db_index=True, verbose_name='Modified Datetime')),
('date', models.CharField(default=habitat.timezone.models.martian_standard_time.MartianStandardTime.date, help_text='example: 51099.420109', max_length=15, verbose_name='Mars Sol Date')),
('time', models.TimeField(default=habitat.timezone.models.martian_standard_time.MartianStandardTime.time, help_text='example: 51099.420109', verbose_name='Coordinated Mars Time')),
('value', models.PositiveSmallIntegerField(default=None, verbose_name='Value')),
('location', models.ForeignKey(blank=True, default=None, null=True, on_delete=django.db.models.deletion.CASCADE, to='building.Module', verbose_name='Location')),
],
options={
'verbose_name': 'Weather',
'verbose_name_plural': 'Weather',
},
),
migrations.CreateModel(
name='ZWaveSensor',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('created', models.DateTimeField(auto_now_add=True, db_index=True, verbose_name='Add Datetime')),
('modified', models.DateTimeField(auto_now=True, db_index=True, verbose_name='Modified Datetime')),
('date', models.CharField(default=habitat.timezone.models.martian_standard_time.MartianStandardTime.date, help_text='example: 51099.420109', max_length=15, verbose_name='Mars Sol Date')),
('time', models.TimeField(default=habitat.timezone.models.martian_standard_time.MartianStandardTime.time, help_text='example: 51099.420109', verbose_name='Coordinated Mars Time')),
('datetime', models.DateTimeField(db_index=True, editable=False, verbose_name='Datetime')),
('device', models.CharField(db_index=True, max_length=30, verbose_name='Device')),
('type', models.CharField(choices=[('battery-level', 'Battery Level'), ('powerlevel', 'Power Level'), ('temperature', 'Temperature'), ('luminance', 'Luminance'), ('relative-humidity', 'Relative Humidity'), ('ultraviolet', 'Ultraviolet'), ('burglar', 'Burglar')], max_length=30, verbose_name='Type')),
('value', models.DecimalField(decimal_places=2, default=None, max_digits=7, verbose_name='Value')),
('unit', models.CharField(blank=True, choices=[(None, 'n/a'), ('percent', '%'), ('lux', 'Lux'), ('decibel', 'dB'), ('celsius', 'Celsius'), ('kelvin', 'Kelvin'), ('fahrenheit', 'Fahrenheit')], default=None, max_length=15, null=True, verbose_name='Unit')),
],
options={
'verbose_name': 'Data',
'verbose_name_plural': 'Zwave Sensors',
},
),
]
| 80.410138 | 316 | 0.657975 | 1,853 | 17,449 | 6.009174 | 0.07987 | 0.110642 | 0.025685 | 0.062865 | 0.839515 | 0.827122 | 0.815088 | 0.805568 | 0.805568 | 0.805568 | 0 | 0.025663 | 0.200527 | 17,449 | 216 | 317 | 80.782407 | 0.772545 | 0.003897 | 0 | 0.639423 | 1 | 0 | 0.193578 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.024038 | 0 | 0.043269 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
2f9223544559bf87c43e69b0cf64c9e7e43dbeb3 | 54 | py | Python | Gathered CTF writeups/ptr-yudai-writeups/2019/ByteBandits_CTF_2019/lemonshell/gen.py | mihaid-b/CyberSakura | f60e6b6bfd6898c69b84424b080090ae98f8076c | [
"MIT"
] | 1 | 2022-03-27T06:00:41.000Z | 2022-03-27T06:00:41.000Z | Gathered CTF writeups/ptr-yudai-writeups/2019/ByteBandits_CTF_2019/lemonshell/gen.py | mihaid-b/CyberSakura | f60e6b6bfd6898c69b84424b080090ae98f8076c | [
"MIT"
] | null | null | null | Gathered CTF writeups/ptr-yudai-writeups/2019/ByteBandits_CTF_2019/lemonshell/gen.py | mihaid-b/CyberSakura | f60e6b6bfd6898c69b84424b080090ae98f8076c | [
"MIT"
] | 1 | 2022-03-27T06:01:42.000Z | 2022-03-27T06:01:42.000Z | from pwn import *
print(repr(8.047646698137653e+89))
| 13.5 | 34 | 0.759259 | 8 | 54 | 5.125 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.375 | 0.111111 | 54 | 3 | 35 | 18 | 0.479167 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.5 | 0 | 0.5 | 0.5 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 7 |
85cdb1758801c98d15eeee9dd9c21ce78b9e5ed9 | 1,380 | py | Python | tests/test_provider_innovationnorway_domeneshop.py | mjuenema/python-terrascript | 6d8bb0273a14bfeb8ff8e950fe36f97f7c6e7b1d | [
"BSD-2-Clause"
] | 507 | 2017-07-26T02:58:38.000Z | 2022-01-21T12:35:13.000Z | tests/test_provider_innovationnorway_domeneshop.py | mjuenema/python-terrascript | 6d8bb0273a14bfeb8ff8e950fe36f97f7c6e7b1d | [
"BSD-2-Clause"
] | 135 | 2017-07-20T12:01:59.000Z | 2021-10-04T22:25:40.000Z | tests/test_provider_innovationnorway_domeneshop.py | mjuenema/python-terrascript | 6d8bb0273a14bfeb8ff8e950fe36f97f7c6e7b1d | [
"BSD-2-Clause"
] | 81 | 2018-02-20T17:55:28.000Z | 2022-01-31T07:08:40.000Z | # tests/test_provider_innovationnorway_domeneshop.py
# Automatically generated by tools/makecode.py (24-Sep-2021 15:15:33 UTC)
def test_provider_import():
import terrascript.provider.innovationnorway.domeneshop
def test_resource_import():
from terrascript.resource.innovationnorway.domeneshop import domeneshop_forward
from terrascript.resource.innovationnorway.domeneshop import domeneshop_record
def test_datasource_import():
from terrascript.data.innovationnorway.domeneshop import domeneshop_domain
from terrascript.data.innovationnorway.domeneshop import domeneshop_domains
from terrascript.data.innovationnorway.domeneshop import domeneshop_forward
from terrascript.data.innovationnorway.domeneshop import domeneshop_forwards
from terrascript.data.innovationnorway.domeneshop import domeneshop_record
from terrascript.data.innovationnorway.domeneshop import domeneshop_records
# TODO: Shortcut imports without namespace for official and supported providers.
# TODO: This has to be moved into a required_providers block.
# def test_version_source():
#
# import terrascript.provider.innovationnorway.domeneshop
#
# t = terrascript.provider.innovationnorway.domeneshop.domeneshop()
# s = str(t)
#
# assert 'https://github.com/innovationnorway/terraform-provider-domeneshop' in s
# assert '0.1.0' in s
| 33.658537 | 86 | 0.805797 | 155 | 1,380 | 7.045161 | 0.4 | 0.285714 | 0.234432 | 0.307692 | 0.571429 | 0.467033 | 0.467033 | 0 | 0 | 0 | 0 | 0.012448 | 0.126812 | 1,380 | 40 | 87 | 34.5 | 0.893776 | 0.395652 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0.025 | 0 | 1 | 0.25 | true | 0 | 1 | 0 | 1.25 | 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 | 1 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 9 |
85f2bf429574cb584e5ec97d4d3acd578d1fe31e | 4,323 | py | Python | tests/unit/html/test_schedule_row.py | tttgm/basketball_reference_web_scraper | 2dbd9d7bacbcfee17f08bcf8629bd7d50893761d | [
"MIT"
] | 325 | 2015-10-27T03:15:49.000Z | 2022-03-16T06:49:12.000Z | tests/unit/html/test_schedule_row.py | tttgm/basketball_reference_web_scraper | 2dbd9d7bacbcfee17f08bcf8629bd7d50893761d | [
"MIT"
] | 173 | 2018-10-16T04:11:05.000Z | 2022-03-29T17:52:08.000Z | tests/unit/html/test_schedule_row.py | tttgm/basketball_reference_web_scraper | 2dbd9d7bacbcfee17f08bcf8629bd7d50893761d | [
"MIT"
] | 97 | 2016-04-09T19:11:28.000Z | 2022-03-21T09:57:50.000Z | from unittest import TestCase
from unittest.mock import MagicMock
from basketball_reference_web_scraper.html import ScheduleRow
class TestScheduleRow(TestCase):
def setUp(self):
self.html = MagicMock()
def test_instance_is_not_equal_to_different_class_instance(self):
self.assertNotEqual(ScheduleRow(html=MagicMock()), 1)
def test_instance_is_not_equal_to_same_class_instance_if_html_is_different(self):
self.assertNotEqual(ScheduleRow(html=MagicMock()), ScheduleRow(html=MagicMock()))
def test_start_date_when_cells_exist(self):
self.html.xpath = MagicMock(return_value=[MagicMock(text_content=MagicMock(return_value="some start date"))])
self.assertEqual(ScheduleRow(html=self.html).start_date, "some start date")
self.html.xpath.assert_called_once_with('th[@data-stat="date_game"]')
def test_start_date_is_empty_string_when_cells_do_not_exist(self):
self.html.xpath = MagicMock(return_value=[])
self.assertEqual(ScheduleRow(html=self.html).start_date, "")
self.html.xpath.assert_called_once_with('th[@data-stat="date_game"]')
def test_start_time_of_day_when_cells_exist(self):
self.html.xpath = MagicMock(return_value=[MagicMock(text_content=MagicMock(return_value="some start time of day"))])
self.assertEqual(ScheduleRow(html=self.html).start_time_of_day, "some start time of day")
self.html.xpath.assert_called_once_with('td[@data-stat="game_start_time"]')
def test_start_time_of_day_is_empty_string_when_cells_do_not_exist(self):
self.html.xpath = MagicMock(return_value=[])
self.assertEqual(ScheduleRow(html=self.html).start_time_of_day, "")
self.html.xpath.assert_called_once_with('td[@data-stat="game_start_time"]')
def test_away_team_name_when_cells_exist(self):
self.html.xpath = MagicMock(return_value=[MagicMock(text_content=MagicMock(return_value="some away team name"))])
self.assertEqual(ScheduleRow(html=self.html).away_team_name, "some away team name")
self.html.xpath.assert_called_once_with('td[@data-stat="visitor_team_name"]')
def test_away_team_name_is_empty_string_when_cells_do_not_exist(self):
self.html.xpath = MagicMock(return_value=[])
self.assertEqual(ScheduleRow(html=self.html).away_team_name, "")
self.html.xpath.assert_called_once_with('td[@data-stat="visitor_team_name"]')
def test_home_team_name_when_cells_exist(self):
self.html.xpath = MagicMock(return_value=[MagicMock(text_content=MagicMock(return_value="some home team name"))])
self.assertEqual(ScheduleRow(html=self.html).home_team_name, "some home team name")
self.html.xpath.assert_called_once_with('td[@data-stat="home_team_name"]')
def test_home_team_name_is_empty_string_when_cells_do_not_exist(self):
self.html.xpath = MagicMock(return_value=[])
self.assertEqual(ScheduleRow(html=self.html).home_team_name, "")
self.html.xpath.assert_called_once_with('td[@data-stat="home_team_name"]')
def test_away_team_score_when_cells_exist(self):
self.html.xpath = MagicMock(return_value=[MagicMock(text_content=MagicMock(return_value="some away team score"))])
self.assertEqual(ScheduleRow(html=self.html).away_team_score, "some away team score")
self.html.xpath.assert_called_once_with('td[@data-stat="visitor_pts"]')
def test_away_team_score_is_empty_string_when_cells_do_not_exist(self):
self.html.xpath = MagicMock(return_value=[])
self.assertEqual(ScheduleRow(html=self.html).away_team_score, "")
self.html.xpath.assert_called_once_with('td[@data-stat="visitor_pts"]')
def test_home_team_score_when_cells_exist(self):
self.html.xpath = MagicMock(return_value=[MagicMock(text_content=MagicMock(return_value="some home team score"))])
self.assertEqual(ScheduleRow(html=self.html).home_team_score, "some home team score")
self.html.xpath.assert_called_once_with('td[@data-stat="home_pts"]')
def test_home_team_score_is_empty_string_when_cells_do_not_exist(self):
self.html.xpath = MagicMock(return_value=[])
self.assertEqual(ScheduleRow(html=self.html).home_team_score, "")
self.html.xpath.assert_called_once_with('td[@data-stat="home_pts"]')
| 56.881579 | 124 | 0.752718 | 618 | 4,323 | 4.898058 | 0.100324 | 0.097787 | 0.103072 | 0.067393 | 0.90849 | 0.900562 | 0.850677 | 0.830195 | 0.808722 | 0.741989 | 0 | 0.000265 | 0.126764 | 4,323 | 75 | 125 | 57.64 | 0.801589 | 0 | 0 | 0.310345 | 0 | 0 | 0.134629 | 0.081425 | 0 | 0 | 0 | 0 | 0.448276 | 1 | 0.258621 | false | 0 | 0.051724 | 0 | 0.327586 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
c8164cf94cc36a64b7c7863c904378f60995e2cd | 317 | py | Python | mmrotate/core/__init__.py | Justice-Eternal/mmrotate | c5bf348562fd84cc17906c2cf370d1a49fcd3035 | [
"Apache-2.0"
] | 449 | 2022-02-18T08:26:58.000Z | 2022-03-31T11:58:32.000Z | mmrotate/core/__init__.py | Justice-Eternal/mmrotate | c5bf348562fd84cc17906c2cf370d1a49fcd3035 | [
"Apache-2.0"
] | 162 | 2022-02-18T09:54:46.000Z | 2022-03-31T15:40:46.000Z | mmrotate/core/__init__.py | Justice-Eternal/mmrotate | c5bf348562fd84cc17906c2cf370d1a49fcd3035 | [
"Apache-2.0"
] | 98 | 2022-02-18T08:28:48.000Z | 2022-03-31T08:52:11.000Z | # Copyright (c) OpenMMLab. All rights reserved.
from .anchor import * # noqa: F401, F403
from .bbox import * # noqa: F401, F403
from .evaluation import * # noqa: F401, F403
from .patch import * # noqa: F401, F403
from .post_processing import * # noqa: F401, F403
from .visualization import * # noqa: F401, F403
| 39.625 | 50 | 0.697161 | 43 | 317 | 5.116279 | 0.418605 | 0.272727 | 0.381818 | 0.490909 | 0.5 | 0 | 0 | 0 | 0 | 0 | 0 | 0.140625 | 0.192429 | 317 | 7 | 51 | 45.285714 | 0.71875 | 0.463722 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
c85ca73e4c3f32bd2840403a4590a12928e250c0 | 6,210 | py | Python | tests/func/test_validator.py | ikota3/images_to_pdf | 3f00514a2afc9fab38a764a85351a2b8e92d41b1 | [
"MIT"
] | null | null | null | tests/func/test_validator.py | ikota3/images_to_pdf | 3f00514a2afc9fab38a764a85351a2b8e92d41b1 | [
"MIT"
] | 5 | 2020-10-18T14:17:56.000Z | 2021-10-16T01:51:38.000Z | tests/func/test_validator.py | ikota3/images_to_pdf | 3f00514a2afc9fab38a764a85351a2b8e92d41b1 | [
"MIT"
] | null | null | null | from src.validator import is_dir, is_file, is_extension, is_bool, is_in_range, is_positive_number
def test_is_dir__boolean_should_return_false():
ret_val = is_dir(True)
expected_val = False
assert ret_val == expected_val
def test_is_dir__filename_should_return_false():
ret_val = is_dir('tests/func/test_validator.py')
expected_val = False
assert ret_val == expected_val
def test_is_dir__directory_should_return_true():
ret_val = is_dir('tests/func/')
expected_val = True
assert ret_val == expected_val
def test_is_file__boolean_should_return_false():
ret_val = is_file(False)
expected_val = False
assert ret_val == expected_val
def test_is_file__directory_should_return_false():
ret_val = is_file('tests/func/')
expected_val = False
assert ret_val == expected_val
def test_is_file__filename_should_return_true():
ret_val = is_file('tests/func/test_validator.py')
expected_val = True
assert ret_val == expected_val
def test_is_extension__boolean_should_return_false():
ret_val = is_extension(False)
expected_val = False
assert ret_val == expected_val
def test_is_extension__without_dot_extension_should_return_false():
ret_val = is_extension('jpg')
expected_val = False
assert ret_val == expected_val
def test_is_extension__dot_only_should_return_false():
ret_val = is_extension('.')
expected_val = False
assert ret_val == expected_val
def test_is_extension__dot_plus_extension_should_return_true():
ret_val = is_extension('.jpg')
expected_val = True
assert ret_val == expected_val
def test_is_bool__string_should_return_false():
ret_val = is_bool('True')
expected_val = False
assert ret_val == expected_val
def test_is_bool__boolean_should_return_true():
ret_val = is_bool(False)
expected_val = True
assert ret_val == expected_val
def test_is_in_range__string_num_should_return_false():
target = '3'
min_num = 1
max_num = 5
exclude = False
ret_val = is_in_range(target, min_num, max_num, exclude)
expected_val = False
assert ret_val == expected_val
def test_is_in_range__minimum_num_should_return_false_when_exclude_option_is_true():
target = 1
min_num = 1
max_num = 5
exclude = True
ret_val = is_in_range(target, min_num, max_num, exclude)
expected = False
assert ret_val == expected
def test_is_in_range__maximum_num_should_return_false_when_exclude_option_is_true():
target = 5
min_num = 1
max_num = 5
exclude = True
ret_val = is_in_range(target, min_num, max_num, exclude)
expected = False
assert ret_val == expected
def test_is_in_range__minimum_num_should_return_true_when_exclude_option_is_false():
target = 1
min_num = 1
max_num = 5
exclude = False
ret_val = is_in_range(target, min_num, max_num, exclude)
expected = True
assert ret_val == expected
def test_is_in_range__maximum_num_should_return_true_when_exclude_option_is_false():
target = 5
min_num = 1
max_num = 5
exclude = False
ret_val = is_in_range(target, min_num, max_num, exclude)
expected = True
assert ret_val == expected
def test_is_in_range__nearest_to_minimum_num_in_range_should_return_true_when_exclude_option_is_true():
target = 2
min_num = 1
max_num = 5
exclude = True
ret_val = is_in_range(target, min_num, max_num, exclude)
expected = True
assert ret_val == expected
def test_is_in_range__nearest_to_maximum_num_in_range_should_return_true_when_exclude_option_is_true():
target = 4
min_num = 1
max_num = 5
exclude = True
ret_val = is_in_range(target, min_num, max_num, exclude)
expected = True
assert ret_val == expected
def test_is_in_range__nearest_to_minimum_num_in_range_should_return_true_when_exclude_option_is_false():
target = 2
min_num = 1
max_num = 5
exclude = False
ret_val = is_in_range(target, min_num, max_num, exclude)
expected = True
assert ret_val == expected
def test_is_in_range__nearest_to_maximum_num_in_range_should_return_true_when_exclude_option_is_false():
target = 4
min_num = 1
max_num = 5
exclude = False
ret_val = is_in_range(target, min_num, max_num, exclude)
expected = True
assert ret_val == expected
def test_is_in_range__nearest_to_minimum_num_out_of_range_should_return_false_when_exclude_option_is_true():
target = 0
min_num = 1
max_num = 5
exclude = True
ret_val = is_in_range(target, min_num, max_num, exclude)
expected = False
assert ret_val == expected
def test_is_in_range__nearest_to_maximum_num_out_of_range_should_return_false_when_exclude_option_is_true():
target = 6
min_num = 1
max_num = 5
exclude = True
ret_val = is_in_range(target, min_num, max_num, exclude)
expected = False
assert ret_val == expected
def test_is_in_range__nearest_to_minimum_num_out_of_range_should_return_false_when_exclude_option_is_false():
target = 0
min_num = 1
max_num = 5
exclude = False
ret_val = is_in_range(target, min_num, max_num, exclude)
expected = False
assert ret_val == expected
def test_is_in_range__nearest_to_maximum_num_out_of_range_should_return_false_when_exclude_option_is_false():
target = 6
min_num = 1
max_num = 5
exclude = False
ret_val = is_in_range(target, min_num, max_num, exclude)
expected = False
assert ret_val == expected
def test_is_positive_number__string_should_return_false():
target = '10'
ret_val = is_positive_number(target)
expected = False
assert ret_val == expected
def test_is_positive_number__positive_number_should_return_true():
target = 1
ret_val = is_positive_number(target)
expected = True
assert ret_val == expected
def test_is_positive_number__zero_should_return_false():
target = 0
ret_val = is_positive_number(target)
expected = False
assert ret_val == expected
def test_is_positive_number__negative_number_should_return_false():
target = -1
ret_val = is_positive_number(target)
expected = False
assert ret_val == expected
| 26.767241 | 109 | 0.744122 | 957 | 6,210 | 4.276907 | 0.060606 | 0.085023 | 0.063767 | 0.141705 | 0.917909 | 0.917909 | 0.884193 | 0.808942 | 0.808942 | 0.77376 | 0 | 0.008772 | 0.192271 | 6,210 | 231 | 110 | 26.883117 | 0.807217 | 0 | 0 | 0.739884 | 0 | 0 | 0.014976 | 0.009018 | 0 | 0 | 0 | 0 | 0.16763 | 1 | 0.16763 | false | 0 | 0.00578 | 0 | 0.17341 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
c0c2b1479a6b5b3e2f8bf291b51171cf37eca2df | 44,580 | py | Python | users/views.py | namanmalikk/UpCare | 43af1a3d291d4580cdf9348e9c38da4a7e41db73 | [
"Apache-2.0"
] | null | null | null | users/views.py | namanmalikk/UpCare | 43af1a3d291d4580cdf9348e9c38da4a7e41db73 | [
"Apache-2.0"
] | null | null | null | users/views.py | namanmalikk/UpCare | 43af1a3d291d4580cdf9348e9c38da4a7e41db73 | [
"Apache-2.0"
] | null | null | null | from django.shortcuts import render, redirect
from django.contrib.auth.forms import UserCreationForm
from django.contrib import messages
from django.contrib.auth import authenticate, login, logout
from django.contrib.auth.models import Group
from .models import *
from .filters import *
from .forms import *
from .models import *
from django.conf import settings
from django.http import JsonResponse
from django.views.generic import ListView
import os
import json
import numpy as np
import joblib
import pandas as pd
def signupUser(request):
form = CreateUserForm()
if request.method == 'POST':
form = CreateUserForm(request.POST)
if form.is_valid():
user = form.save()
groupName = str(form.cleaned_data.get('groups')[0])
group = Group.objects.get(name=groupName)
user.groups.add(group)
if groupName == 'doctor':
Doctor.objects.create(user=user)
elif groupName == 'patient':
Patient.objects.create(user=user)
elif groupName == 'pharmacist':
Pharmacist.objects.create(user=user)
else:
Pathologist.objects.create(user=user)
messages.success(request, 'user succesfully created')
return redirect('loginUser')
context = {'form': form}
return render(request, 'signup.html', context)
def loginUser(request):
if request.method == 'POST':
username = request.POST.get('username')
password = request.POST.get('password')
user = authenticate(request, username=username, password=password)
if user is not None:
login(request, user)
messages.success(request, 'logged in')
groupName = request.user.groups.all()[0].name
return redirect(f'{groupName}Dashboard')
else:
messages.info(request, "Invalid credentials")
context = {}
return render(request, 'login.html', context)
def doctorProfileUpdate(request):
user = request.user
doctor = Doctor.objects.get(user=user)
form = DoctorForm(request.POST or None, instance=doctor)
if form.is_valid():
form.save()
context = {'form': form}
return render(request, 'doctor/doctorProfileUpdate.html', context)
def patientProfileUpdate(request):
user = request.user
patient = Patient.objects.get(user=user)
form = PatientForm(request.POST or None, instance=patient)
if form.is_valid():
form.save()
context = {'form': form}
return render(request, 'patientProfileUpdate.html', context)
def logoutUser(request):
logout(request)
messages.success(request, 'logged out')
return redirect('loginUser')
def home(request):
context = {}
return render(request, 'home.html', context)
def doctorDashboard(request):
context = {}
return render(request, 'doctor/doctorDashboard.html', context)
def patientDashboard(request):
if not request.user.is_authenticated:
return redirect('loginUser')
doctors = Doctor.objects.all()
myFilter = DoctorFilter(request.GET, queryset=doctors)
doctors = myFilter.qs
context = {'myFilter': myFilter, 'doctors': doctors}
return render(request, 'patientDashboard.html', context)
def bookAppointment(request, pk):
print(pk)
user = User.objects.get(id=pk)
doctor = Doctor.objects.get(user=user)
user = request.user
patient = Patient.objects.get(user=user)
#print(user.username)
#print(doctor.speciality)
#print(patient)
if request.method == 'POST':
Appointment.objects.create(doctor=doctor, patient=patient)
return redirect('patientDashboard')
context = {}
return render(request, 'bookAppointment.html', context)
def myprescriptions(request):
user = request.user
patient = Patient.objects.get(user=user)
appointments = patient.appointment_set.all()
meds = Medecine.objects.all()
context = {
'appointments':appointments,
'meds':meds,
}
return render(request,'myprescriptions.html',context)
def patientAppointments(request):
user = request.user
patient = Patient.objects.get(user=user)
print(patient.appointment_set.all())
appointments = patient.appointment_set.all()
context = {'appointments': appointments}
return render(request, 'patientAppointments.html', context)
def doctorAppointments(request):
user = request.user
doctor = Doctor.objects.get(user=user)
print(doctor.appointment_set.all())
appointments = doctor.appointment_set.all()
context = {'appointments': appointments}
return render(request, 'doctor/doctorAppointments.html', context)
def appointmentMedsdoc(request, pk):
appointment = Appointment.objects.get(id=pk)
print(appointment.medecine_set.all())
appointmentMeds = appointment.medecine_set.all()
appointmentSymptoms = appointment.symptom_set.all()
form = SymptomForm()
cls = joblib.load('decision_tree.joblib') # classification model
symp_list = pd.read_csv('test_data.csv').columns[:-1]
d = np.zeros((len(symp_list)))
test_case = pd.DataFrame(d).transpose()
test_case.columns = symp_list
for symp in appointmentSymptoms:
#print(symp.name)
if symp.name in symp_list:
test_case.loc[0, [symp.name]] = 1
disease = cls.predict(test_case)
#print(disease[0])
if request.method == 'POST':
form = SymptomForm(request.POST)
if form.is_valid():
medi = form.save()
medi.appointment = appointment
medi.save()
return redirect('appointmentMedsdoc', pk=pk)
context = {
'meds': appointmentMeds,
'appointment':appointment,
'symptoms':appointmentSymptoms,
'form':form,
'disease':disease[0],
'pk':pk,
}
return render(request, 'doctor/appointmentMeds.html', context)
def appointmentMeds(request, pk):
appointment = Appointment.objects.get(id=pk)
print(appointment.medecine_set.all())
appointmentMeds = appointment.medecine_set.all()
appointmentSymptoms = appointment.symptom_set.all()
form = SymptomForm()
cls = joblib.load('decision_tree.joblib') # classification model
symp_list = pd.read_csv('test_data.csv').columns[:-1]
d = np.zeros((len(symp_list)))
test_case = pd.DataFrame(d).transpose()
test_case.columns = symp_list
for symp in appointmentSymptoms:
#print(symp.name)
if symp.name in symp_list:
test_case.loc[0, [symp.name]] = 1
disease = cls.predict(test_case)
#print(disease[0])
if request.method == 'POST':
form = SymptomForm(request.POST)
if form.is_valid():
medi = form.save()
medi.appointment = appointment
medi.save()
return redirect('appointmentMeds', pk=pk)
context = {
'meds': appointmentMeds,
'appointment':appointment,
'symptoms':appointmentSymptoms,
'form':form,
'disease':disease[0],
}
return render(request, 'appointmentMeds.html', context)
def guessDisease(request, pk):
appointment = Appointment.objects.get(id=pk)
print(appointment.symptom_set.all())
appointmentSymptoms = appointment.symptom_set.all()
cls = joblib.load('decision_tree.joblib') # classification model
symp_list = pd.read_csv('test_data.csv').columns[:-1]
d = np.zeros((len(symp_list)))
test_case = pd.DataFrame(d).transpose()
test_case.columns = symp_list
for symp in appointmentSymptoms:
print(symp.name)
if symp.name in symp_list:
test_case.loc[0, [symp.name]] = 1
disease = cls.predict(test_case)
print(disease[0])
context = {'disease': disease[0],
'symptoms': appointmentSymptoms, 'pk': pk}
return render(request, 'guessDisease.html', context)
def updateAppointmentSymptoms(request, pk):
appointment = Appointment.objects.get(id=pk)
print(appointment)
appointmentSymptoms = appointment.symptom_set.all()
form = SymptomForm()
if request.method == 'POST':
form = SymptomForm(request.POST)
if form.is_valid():
medi = form.save()
medi.appointment = appointment
medi.save()
return redirect('appointmentSymptoms', pk=pk)
context = {'form': form, 'meds': appointmentSymptoms}
return render(request, 'updateAppointmentSymptoms.html', context)
def appointmentSymptoms(request, pk):
appointment = Appointment.objects.get(id=pk)
print(appointment.symptom_set.all())
appointmentSymptoms = appointment.symptom_set.all()
context = {'symptoms': appointmentSymptoms, 'pk': pk}
return render(request, 'appointmentSymptoms.html', context)
def updateAppointment(request, pk):
appointment = Appointment.objects.get(id=pk)
form = AppointmentForm(request.POST or None, instance=appointment)
if form.is_valid():
form.save()
return redirect('appointmentMedsdoc',pk)
context = {'form': form, 'pk': pk}
return render(request, 'doctor/updateAppointment.html', context)
def updateAppointmentMeds(request, pk):
appointment = Appointment.objects.get(id=pk)
print(appointment)
appointmentMeds = appointment.medecine_set.all()
form = MedecineForm()
if request.method == 'POST':
form = MedecineForm(request.POST)
if form.is_valid():
medi = form.save()
# form.save()
# print(form.save.appointment)
medi.appointment = appointment
# print(meds.appointment)
medi.save()
return redirect('appointmentMedsdoc',pk)
context = {'form': form, 'meds': appointmentMeds}
return render(request, 'updateAppointmentMeds.html', context)
# ----------------------------------------------------------------------------
# pharmacy material here
def addproduct(request):
if not request.user.is_authenticated:
return redirect('loginUser')
customer = request.user.pharmacist
order, created = WalkinOrder.objects.get_or_create(
customer=customer, complete=False)
ordercount = order.get_cart_items
groupname = str(request.user.groups.all()[0].name)
name = request.user.first_name
pharmacy = request.user.pharmacist
pharmaname = request.user.pharmacist.PharmaName
pharmacyid = request.user.pharmacist.id
form = AddProduct()
if request.method == 'POST':
form = AddProduct(request.POST, request.FILES)
if form.is_valid():
newform = form.save(commit=False)
newform.Pharmacist = pharmacy
newform.save()
# product_name = form.cleaned_data['product_name']
# product_price = form.cleaned_data['product_price']
# product_minquantity = form.cleaned_data['product_minquantity']
# product_available = form.cleaned_data['product_available']
# product_cp = form.cleaned_data['product_cp']
# product_quantity = form.cleaned_data['product_quantity']
# product_drugs = form.cleaned_data['product_drugs']
# product_brand = form.cleaned_data['product_brand']
# p = specificproducts(name=product_name, Pharmacist=pharmacy, price=product_price, minquantity=product_minquantity,
# available=product_available, cp=product_cp, quantity=product_quantity, drugs=product_drugs, brand=product_brand)
# p.save()
return redirect('stock')
context = {
'form': form,
'name': name,
'groupname': groupname,
'ordercount': ordercount,
}
return render(request, 'pharmacy/addproduct.html', context)
def pharmacistDashboard(request):
customer = request.user.pharmacist
order, created = WalkinOrder.objects.get_or_create(
customer=customer, complete=False)
ordercount = order.get_cart_items
groupname = str(request.user.groups.all()[0].name)
name = request.user.first_name
pharmacy = request.user.pharmacist
pharmaname = request.user.pharmacist.PharmaName
pharmacyid = request.user.pharmacist.id
products = specificproducts.objects.filter(Pharmacist=pharmacy)
if not request.user.is_authenticated:
return redirect('loginUser')
# doctors = Doctor.objects.all()
myFilter = ProductFilter(request.GET, queryset=products)
products = myFilter.qs
# context = {'myFilter': myFilter, 'doctors': doctors}
context = {
'name': name,
'myFilter': myFilter,
'groupname': groupname,
'products': products,
'ordercount': ordercount,
}
return render(request, 'pharmacy/pharmacistdashboard.html', context)
def alertproducts(request):
customer = request.user.pharmacist
order, created = WalkinOrder.objects.get_or_create(
customer=customer, complete=False)
ordercount = order.get_cart_items
groupname = str(request.user.groups.all()[0].name)
name = request.user.first_name
pharmacy = request.user.pharmacist
pharmaname = request.user.pharmacist.PharmaName
pharmacyid = request.user.pharmacist.id
products = specificproducts.objects.filter(Pharmacist=pharmacy)
if not request.user.is_authenticated:
return redirect('loginUser')
context = {
'name': name,
'groupname': groupname,
'products': products,
'ordercount': ordercount,
}
return render(request, 'pharmacy/alertproduct.html', context)
def cart(request):
name = request.user.first_name
groupname = str(request.user.groups.all()[0].name)
customer = request.user.patient
order, created = Order.objects.get_or_create(
customer=customer, complete=False)
ordercount = order.get_cart_items
items = order.cart_set.all()
if not request.user.is_authenticated:
return redirect('loginUser')
context = {
'name': name,
'groupname': groupname,
'items': items,
'order': order,
'ordercount': ordercount,
}
return render(request, 'pharmacy/cart.html', context)
def stock(request):
name = request.user.first_name
groupname = str(request.user.groups.all()[0].name)
if not request.user.is_authenticated:
return redirect('loginUser')
customer = request.user.pharmacist
order, created = WalkinOrder.objects.get_or_create(
customer=customer, complete=False)
items = order.walkincart_set.all()
ordercount = order.get_cart_items
products = specificproducts.objects.filter(Pharmacist=customer)
myFilter = StockFilter(request.GET, queryset=products)
products = myFilter.qs
context = {
'name': name,
'myFilter': myFilter,
'groupname': groupname,
'items': items,
'ordercount': ordercount,
'products': products,
}
return render(request, 'pharmacy/pharmacyallitems.html', context)
def walkincart(request):
name = request.user.first_name
groupname = str(request.user.groups.all()[0].name)
customer = request.user.pharmacist
order, created = WalkinOrder.objects.get_or_create(
customer=customer, complete=False)
items = order.walkincart_set.all()
ordercount = order.get_cart_items
if not request.user.is_authenticated:
return redirect('loginUser')
context = {
'name': name,
'groupname': groupname,
'items': items,
'order': order,
'ordercount': ordercount,
}
return render(request, 'pharmacy/pharmacistcart.html', context)
def pinandbuypharmacy(request,pid):
if not request.user.is_authenticated:
return redirect('loginUser')
customer = request.user.patient
order, created = Order.objects.get_or_create(
customer=customer, complete=False)
ordercount = order.get_cart_items
groupname = str(request.user.groups.all()[0].name)
name = request.user.first_name
pharmacies = Pharmacist.objects.all()
appointment = Appointment.objects.get(id=pid)
prescriptionmedicine = appointment.medecine_set.all()
pinandbuy = True
context = {
'name': name,
'groupname': groupname,
'pharmacies': pharmacies,
'ordercount': ordercount,
'pinandbuy':pinandbuy,
'prescriptionmedicine':prescriptionmedicine,
'pid':pid,
}
return render(request, 'pharmacy/pharmacy.html', context)
def pharmacy(request):
if not request.user.is_authenticated:
return redirect('loginUser')
customer = request.user.patient
order, created = Order.objects.get_or_create(
customer=customer, complete=False)
ordercount = order.get_cart_items
groupname = str(request.user.groups.all()[0].name)
name = request.user.first_name
pharmacies = Pharmacist.objects.all()
pinandbuy = False
context = {
'name': name,
'groupname': groupname,
'pharmacies': pharmacies,
'ordercount': ordercount,
'pinandbuy':pinandbuy,
}
return render(request, 'pharmacy/pharmacy.html', context)
def pinandbuystore(request, pharmacyid, pid):
customer = request.user.patient
order, created = Order.objects.get_or_create(
customer=customer, complete=False)
name = request.user.first_name
pharmacy = Pharmacist.objects.get(id=pharmacyid)
groupname = str(request.user.groups.all()[0].name)
items = order.cart_set.all()
pinandbuy = True
print(items)
appointment = Appointment.objects.get(id=pid)
prescriptionmedicine = appointment.medecine_set.all()
alert = False
for item in items:
if item.product.Pharmacist != pharmacy:
order.delete()
alert = True
break
products = specificproducts.objects.filter(Pharmacist=pharmacy)
ordercount = order.get_cart_items
myFilter = ProductFilter(request.GET, queryset=products)
products = myFilter.qs
if not request.user.is_authenticated:
return redirect('loginUser')
context = {
'name': name,
'products': products,
'groupname': groupname,
'ordercount': ordercount,
'alert': alert,
'pinandbuy':pinandbuy,
'prescriptionmedicine':prescriptionmedicine,
'myFilter':myFilter,
}
return render(request, 'pharmacy/store.html', context)
def store(request, pharmacyid):
customer = request.user.patient
order, created = Order.objects.get_or_create(
customer=customer, complete=False)
name = request.user.first_name
pharmacy = Pharmacist.objects.get(id=pharmacyid)
groupname = str(request.user.groups.all()[0].name)
items = order.cart_set.all()
pinandbuy = False
print(items)
alert = False
for item in items:
if item.product.Pharmacist != pharmacy:
order.delete()
alert = True
break
products = specificproducts.objects.filter(Pharmacist=pharmacy)
ordercount = order.get_cart_items
myFilter = ProductFilter(request.GET, queryset=products)
products = myFilter.qs
if not request.user.is_authenticated:
return redirect('loginUser')
context = {
'name': name,
'products': products,
'groupname': groupname,
'ordercount': ordercount,
'alert': alert,
'pinandbuy':pinandbuy,
'myFilter':myFilter,
}
return render(request, 'pharmacy/store.html', context)
def customercheckout(request):
name = request.user.first_name
customer = request.user.patient
groupname = str(request.user.groups.all()[0].name)
order, created = Order.objects.get_or_create(
customer=customer, complete=False)
if order.shippingpossible == False:
return redirect('cart')
items = order.cart_set.all()
ordercount = order.get_cart_items
if not request.user.is_authenticated:
return redirect('loginUser')
context = {
'name': name,
'groupname': groupname,
'items': items,
'order': order,
'customer': customer,
'ordercount': ordercount,
}
return render(request, 'pharmacy/checkout.html', context)
def placeonlineorder(request):
if not request.user.is_authenticated:
return redirect('loginUser')
name = request.user.first_name
customer = request.user.patient
groupname = str(request.user.groups.all()[0].name)
order, created = Order.objects.get_or_create(
customer=customer, complete=False)
if order.shippingpossible == False:
return redirect('cart')
items = order.cart_set.all()
ordercount = order.get_cart_items
if ordercount < 1:
return redirect('cart')
for item in items:
item.product.available = (item.product.available - item.quantity)
item.product.save()
order.complete = True
order.save()
return redirect('ordersuccess')
def placeofflineorder(request):
if not request.user.is_authenticated:
return redirect('loginUser')
name = request.user.first_name
groupname = str(request.user.groups.all()[0].name)
customer = request.user.pharmacist
order, created = WalkinOrder.objects.get_or_create(
customer=customer, complete=False)
if order.shippingpossible == False:
return redirect('walkincart')
items = order.walkincart_set.all()
ordercount = order.get_cart_items
if ordercount < 1:
return redirect('cart')
for item in items:
item.product.available = (item.product.available - item.quantity)
item.product.save()
order.complete = True
order.save()
return redirect('offlineorders')
def myorders(request):
if not request.user.is_authenticated:
return redirect('loginUser')
name = request.user.first_name
groupname = str(request.user.groups.all()[0].name)
customer = request.user.patient
order, created = Order.objects.get_or_create(
customer=customer, complete=False)
ordercount = order.get_cart_items
orders = Order.objects.filter(complete=True, customer=customer)
items = []
button = False
customerinfo = False
for ord in orders:
it = ord.cart_set.all()
for item in it:
items.append(item)
context = {
'name': name,
'groupname': groupname,
'items': items,
'myorders': orders,
'ordercount': ordercount,
}
return render(request, 'pharmacy/myorders.html', context)
def onlineorders(request):
if not request.user.is_authenticated:
return redirect('loginUser')
name = request.user.first_name
groupname = str(request.user.groups.all()[0].name)
customer = request.user.pharmacist
order, created = WalkinOrder.objects.get_or_create(
customer=customer, complete=False)
ordercount = order.get_cart_items
pharmacy = request.user.pharmacist
orders = Order.objects.filter(complete=True, delivered=False)
button = True
customerinfo = True
items = []
myorders = []
for orderp in orders:
itemst = orderp.cart_set.all()
for item in itemst:
if item.product.Pharmacist == pharmacy:
myorders.append(orderp)
break
for order in myorders:
itemlist = order.cart_set.all()
for item in itemlist:
items.append(item)
context = {
'name': name,
'groupname': groupname,
'ordercount': ordercount,
'myorders': myorders,
'items': items,
'button': button,
'customerinfo': customerinfo,
}
return render(request, 'pharmacy/orders.html', context)
def offlineorders(request):
if not request.user.is_authenticated:
return redirect('loginUser')
name = request.user.first_name
groupname = str(request.user.groups.all()[0].name)
customer = request.user.pharmacist
order, created = WalkinOrder.objects.get_or_create(
customer=customer, complete=False)
ordercount = order.get_cart_items
pharmacy = request.user.pharmacist
myorders = WalkinOrder.objects.filter(complete=True, customer=pharmacy)
button = False
customerinfo = False
items = []
for order in myorders:
itemlist = order.walkincart_set.all()
for item in itemlist:
items.append(item)
context = {
'name': name,
'groupname': groupname,
'ordercount': ordercount,
'myorders': myorders,
'items': items,
'button': button,
'customerinfo': customerinfo,
}
return render(request, 'pharmacy/orders.html', context)
def sales(request):
context = {}
return render(request, '', context)
def ordersuccess(request):
if not request.user.is_authenticated:
return redirect('loginUser')
name = request.user.first_name
customer = request.user.patient
groupname = str(request.user.groups.all()[0].name)
order, created = Order.objects.get_or_create(
customer=customer, complete=False)
ordercount = order.get_cart_items
context = {
'name': name,
'groupname': groupname,
'order': order,
'customer': customer,
'ordercount': ordercount,
}
return render(request, 'pharmacy/ordersuccess.html', context)
def updateitem(request):
data = json.loads(request.body)
productId = data['productId']
action = data['action']
customer = request.user.patient
product = specificproducts.objects.get(id=productId)
order, created = Order.objects.get_or_create(
customer=customer, complete=False)
cart, created = Cart.objects.get_or_create(order=order, product=product)
if action == 'add':
cart.quantity = (cart.quantity + 1)
elif action == 'remove':
cart.quantity = (cart.quantity - 1)
cart.save()
if cart.quantity <= 0:
cart.delete()
return JsonResponse('item was added', safe=False)
def updateitemwalkin(request):
data = json.loads(request.body)
productId = data['productId']
action = data['action']
customer = request.user.pharmacist
product = specificproducts.objects.get(id=productId)
order, created = WalkinOrder.objects.get_or_create(
customer=customer, complete=False)
cart, created = WalkinCart.objects.get_or_create(
order=order, product=product)
if action == 'add':
cart.quantity = (cart.quantity + 1)
elif action == 'remove':
cart.quantity = (cart.quantity - 1)
cart.save()
if cart.quantity <= 0:
cart.delete()
return JsonResponse('item was added', safe=False)
def deliverorder(request):
data = json.loads(request.body)
orderID = data['orderId']
order = Order.objects.get(id=orderID)
order.delivered = True
order.save()
return JsonResponse('item delivered', safe=False)
def deleteproduct(request):
data = json.loads(request.body)
product = data['product']
act = data['act']
pharmacist = request.user.pharmacist
product2 = specificproducts.objects.get(id=product)
products = Cart.objects.filter(product=product2)
walkincartproducts = WalkinCart.objects.filter(product=product2)
if act == 'delete':
for pro in products:
pro.delete()
for pro in walkincartproducts:
pro.delete()
product2.delete()
elif act == 'inc':
product2.available = (product2.available+1)
product2.save()
elif act == 'dec':
product2.available = (product2.available-1)
product2.save()
if product2.available <= 0:
for pro in products:
pro.delete()
for pro in walkincartproducts:
pro.delete()
product2.delete()
return JsonResponse('item deleted ', safe=False)
def onlineorderscomplete(request):
if not request.user.is_authenticated:
return redirect('loginUser')
name = request.user.first_name
groupname = str(request.user.groups.all()[0].name)
customer = request.user.pharmacist
order, created = WalkinOrder.objects.get_or_create(
customer=customer, complete=False)
ordercount = order.get_cart_items
pharmacy = request.user.pharmacist
orders = Order.objects.filter(complete=True, delivered=True)
button = False
customerinfo = True
items = []
myorders = []
for orderp in orders:
itemst = orderp.cart_set.all()
for item in itemst:
if item.product.Pharmacist == pharmacy:
myorders.append(orderp)
break
for order in myorders:
itemlist = order.cart_set.all()
for item in itemlist:
items.append(item)
context = {
'name': name,
'groupname': groupname,
'ordercount': ordercount,
'myorders': myorders,
'items': items,
'button': button,
'customerinfo': customerinfo,
}
return render(request, 'pharmacy/orders.html', context)
# pharmacy material end
# -----------------------------------------------------------------------------
#-------------------------------------------------------
#new views
#----------------------------------------------------------------------------
#pathologist material here
def testsadd(request):
if not request.user.is_authenticated:
return redirect('loginUser')
customer = request.user.pathologist
order, created = AnonyTests.objects.get_or_create(customer=customer,complete=False)
ordercount = order.get_tests_items
groupname = str(request.user.groups.all()[0].name)
name = request.user.first_name
pathology = request.user.pathologist
pathoname = request.user.pathologist.PathoName
pathologyid = request.user.pathologist.id
form = addpro()
if request.method == 'POST':
form = addpro(request.POST, request.FILES)
if form.is_valid():
newform = form.save(commit=False)
newform.Pathologist = pathology
newform.save()
return redirect('market')
context={
'form':form,
'name': name,
'groupname':groupname,
'ordercount':ordercount,
}
return render(request,'pathology/testsadd.html',context)
def pathologistDashboard(request):
customer = request.user.pathologist
order, created = AnonyTests.objects.get_or_create(customer=customer,complete=False)
ordercount = order.get_tests_items
groupname = str(request.user.groups.all()[0].name)
name = request.user.first_name
pathology = request.user.pathologist
pathoname = request.user.pathologist.PathoName
pathologyid = request.user.pathologist.id
products = labtest.objects.filter(Pathologist=pathology)
if not request.user.is_authenticated:
return redirect('loginUser')
context={
'name': name,
'groupname':groupname,
'products':products,
'ordercount':ordercount,
}
return render(request, 'pathology/pathologistdashboard.html', context)
def alarmtests(request):
customer = request.user.pathologist
order, created = AnonyTests.objects.get_or_create(customer=customer,complete=False)
ordercount = order.get_tests_items
groupname = str(request.user.groups.all()[0].name)
name = request.user.first_name
pathology = request.user.pathologist
pathoname = request.user.pathologist.PathoName
pathologyid = request.user.pathologist.id
products = labtest.objects.filter(Pathologist=pathology)
if not request.user.is_authenticated:
return redirect('loginUser')
context={
'name': name,
'groupname':groupname,
'products':products,
'ordercount':ordercount,
}
return render(request, 'pathology/alarmtests.html', context)
def tests(request):
name = request.user.first_name
groupname = str(request.user.groups.all()[0].name)
customer = request.user.patient
order, created = BookTest.objects.get_or_create(customer=customer,complete=False)
ordercount = order.get_tests_items
items = order.tests_set.all()
if not request.user.is_authenticated:
return redirect('loginUser')
context={
'name': name,
'groupname':groupname,
'items':items,
'order':order,
'ordercount':ordercount,
}
return render(request, 'pathology/tests.html', context)
def market(request):
name = request.user.first_name
groupname = str(request.user.groups.all()[0].name)
if not request.user.is_authenticated:
return redirect('loginUser')
customer = request.user.pathologist
order, created = AnonyTests.objects.get_or_create(customer=customer,complete=False)
items = order.addtests_set.all()
ordercount = order.get_tests_items
products = labtest.objects.filter(Pathologist=customer)
context={
'name': name,
'groupname':groupname,
'items':items,
'ordercount':ordercount,
'products':products,
}
return render(request, 'pathology/market.html', context)
def addtests(request):
name = request.user.first_name
groupname = str(request.user.groups.all()[0].name)
customer = request.user.pathologist
order, created = AnonyTests.objects.get_or_create(customer=customer,complete=False)
items = order.addtests_set.all()
ordercount = order.get_tests_items
if not request.user.is_authenticated:
return redirect('loginUser')
context={
'name': name,
'groupname':groupname,
'items':items,
'order':order,
'ordercount':ordercount,
}
return render(request, 'pathology/addtests.html', context)
def pathology(request):
if not request.user.is_authenticated:
return redirect('loginUser')
customer = request.user.patient
order, created = BookTest.objects.get_or_create(customer=customer,complete=False)
ordercount = order.get_tests_items
groupname = str(request.user.groups.all()[0].name)
name = request.user.first_name
labs = Pathologist.objects.all()
context={
'name': name,
'groupname':groupname,
'labs':labs,
'ordercount':ordercount,
}
return render(request,'pathology/pathology.html',context)
def dukan(request, pathologyid):
customer = request.user.patient
order, created = BookTest.objects.get_or_create(customer=customer, complete=False)
name = request.user.first_name
pathology = Pathologist.objects.get(id=pathologyid)
groupname = str(request.user.groups.all()[0].name)
items = order.tests_set.all()
print(items)
alert = False
for item in items:
if item.product.Pathologist != pathology:
order.delete()
alert = True
break
products = labtest.objects.filter(Pathologist=pathology)
ordercount = order.get_tests_items
if not request.user.is_authenticated:
return redirect('loginUser')
context = {
'name': name,
'products': products,
'groupname': groupname,
'ordercount': ordercount,
'alert': alert,
}
return render(request, 'pathology/dukan.html', context)
def outcheck(request):
name = request.user.first_name
customer = request.user.patient
groupname = str(request.user.groups.all()[0].name)
order, created = BookTest.objects.get_or_create(customer=customer,complete=False)
items = order.tests_set.all()
ordercount = order.get_tests_items
if not request.user.is_authenticated:
return redirect('loginUser')
context={
'name': name,
'groupname':groupname,
'items':items,
'order':order,
'customer':customer,
'ordercount':ordercount,
}
return render(request,'pathology/outcheck.html', context)
def flipkart(request):
if not request.user.is_authenticated:
return redirect('loginUser')
name = request.user.first_name
customer = request.user.patient
groupname = str(request.user.groups.all()[0].name)
order, created = BookTest.objects.get_or_create(customer=customer, complete=False)
items = order.tests_set.all()
ordercount = order.get_tests_items
if ordercount < 0:
return redirect('tests')
for item in items:
item.product.available = (item.product.available - item.quantity)
item.product.save()
order.complete = True
order.save()
return redirect('successorder')
def amazon(request):
if not request.user.is_authenticated:
return redirect('loginUser')
name = request.user.first_name
groupname = str(request.user.groups.all()[0].name)
customer = request.user.pathologist
order, created = AnonyTests.objects.get_or_create(customer=customer, complete=False)
items = order.addtests_set.all()
ordercount = order.get_tests_items
if ordercount < 1:
return redirect('tests')
for item in items:
item.product.available = (item.product.available - item.quantity)
item.product.save()
order.complete = True
order.save()
return redirect('orderoffline')
def itsmychoice(request):
if not request.user.is_authenticated:
return redirect('loginUser')
name = request.user.first_name
groupname = str(request.user.groups.all()[0].name)
customer = request.user.patient
order, created = BookTest.objects.get_or_create(customer=customer, complete=False)
ordercount = order.get_tests_items
orders = BookTest.objects.filter(complete=True, customer=customer)
items = []
button = False
customerinfo = False
for ord in orders:
it = ord.tests_set.all()
for item in it:
items.append(item)
context = {
'name': name,
'groupname': groupname,
'items': items,
'myorders': orders,
'ordercount': ordercount,
}
return render(request, 'pathology/itsmychoice.html', context)
def orderonline(request):
if not request.user.is_authenticated:
return redirect('loginUser')
name = request.user.first_name
groupname = str(request.user.groups.all()[0].name)
customer = request.user.pathologist
order, created = AnonyTests.objects.get_or_create(customer=customer, complete=False)
ordercount = order.get_tests_items
pathology = request.user.pathologist
orders = BookTest.objects.filter(complete=True, delivered=False)
button = True
customerinfo = True
items = []
myorders = []
for orderp in orders:
itemst = orderp.tests_set.all()
for item in itemst:
if item.product.Pathologist == pathology:
myorders.append(orderp)
break
for order in myorders:
itemlist = order.tests_set.all()
for item in itemlist:
items.append(item)
context = {
'name': name,
'groupname': groupname,
'ordercount': ordercount,
'myorders': myorders,
'items': items,
'button': button,
'customerinfo': customerinfo,
}
return render(request, 'pathology/orderonline.html', context)
def orderoffline(request):
if not request.user.is_authenticated:
return redirect('loginUser')
name = request.user.first_name
groupname = str(request.user.groups.all()[0].name)
customer = request.user.pathologist
order, created = AnonyTests.objects.get_or_create(customer=customer, complete=False)
ordercount = order.get_tests_items
pathology = request.user.pathologist
myorders = AnonyTests.objects.filter(complete=True, customer=pathology)
button = False
customerinfo = False
items = []
for order in myorders:
itemlist = order.addtests_set.all()
for item in itemlist:
items.append(item)
context = {
'name': name,
'groupname': groupname,
'ordercount': ordercount,
'myorders': myorders,
'items': items,
'button': button,
'customerinfo': customerinfo,
}
return render(request, 'pathology/orderonline.html', context)
def bikari(request):
context = {}
return render(request, '', context)
def successorder(request):
if not request.user.is_authenticated:
return redirect('loginUser')
name = request.user.first_name
customer = request.user.patient
groupname = str(request.user.groups.all()[0].name)
order, created = BookTest.objects.get_or_create(customer=customer, complete=False)
ordercount = order.get_tests_items
context = {
'name': name,
'groupname': groupname,
'order': order,
'customer': customer,
'ordercount': ordercount,
}
return render(request, 'pathology/successorder.html', context)
def itemupdating(request):
data = json.loads(request.body)
productId = data['productId']
action = data['action']
customer = request.user.patient
product = labtest.objects.get(id=productId)
order, created = BookTest.objects.get_or_create(customer=customer, complete=False)
cart, created = Tests.objects.get_or_create(order=order, product=product)
if action == 'add':
cart.quantity = 1
elif action == 'remove':
cart.quantity = 0
cart.save()
if cart.quantity <= 0:
cart.delete()
return JsonResponse('item was added', safe=False)
def itemupdatedwalkin(request):
data = json.loads(request.body)
productId = data['productId']
action = data['action']
customer = request.user.pathologist
product = labtest.objects.get(id=productId)
order, created = AnonyTests.objects.get_or_create(customer=customer, complete=False)
cart, created = AddTests.objects.get_or_create(order=order, product=product)
if action == 'add':
cart.quantity = 1
elif action == 'remove':
cart.quantity = 0
cart.save()
if cart.quantity <= 0:
cart.delete()
return JsonResponse('item was added', safe=False)
def ekart(request):
data = json.loads(request.body)
orderID = data['orderId']
order = BookTest.objects.get(id=orderID)
order.delivered = True
order.save()
return JsonResponse('item delivered', safe=False)
def removeproduct(request):
data = json.loads(request.body)
product = data['product']
act = data['act']
pathologist = request.user.pathologist
product2 = labtest.objects.get(id=product)
products = Tests.objects.filter(product=product2)
walkincartproducts = AddTests.objects.filter(product=product2)
if act == 'delete':
for pro in products:
pro.delete()
for pro in walkincartproducts:
pro.delete()
product2.delete()
elif act == 'inc':
product2.available = product2.available
product2.save()
elif act == 'dec':
product2.available = product2.available
product2.save()
if product2.available <= 0:
for pro in products:
pro.delete()
for pro in walkincartproducts:
pro.delete()
product2.delete()
return JsonResponse('item deleted ', safe=False)
def completedorder(request):
if not request.user.is_authenticated:
return redirect('loginUser')
name = request.user.first_name
groupname = str(request.user.groups.all()[0].name)
customer = request.user.pathologist
order, created = AnonyTests.objects.get_or_create(customer=customer, complete=False)
ordercount = order.get_tests_items
pathology = request.user.pathologist
orders = BookTest.objects.filter(complete=True, delivered=True)
button = False
customerinfo = True
items = []
myorders = []
for orderp in orders:
itemst = orderp.tests_set.all()
for item in itemst:
if item.product.Pathologist == pathology:
myorders.append(orderp)
break
for order in myorders:
itemlist = order.tests_set.all()
for item in itemlist:
items.append(item)
context = {
'name': name,
'groupname': groupname,
'ordercount': ordercount,
'myorders': myorders,
'items': items,
'button': button,
'customerinfo': customerinfo,
}
return render(request, 'pathology/orderonline.html', context)
#pathologist material end
#----------------------------------------------------------------------------- | 32.280956 | 147 | 0.652445 | 4,756 | 44,580 | 6.043524 | 0.05656 | 0.069269 | 0.033052 | 0.026302 | 0.822044 | 0.795707 | 0.779877 | 0.765056 | 0.749365 | 0.736875 | 0 | 0.00276 | 0.227815 | 44,580 | 1,381 | 148 | 32.280956 | 0.83221 | 0.033333 | 0 | 0.780446 | 0 | 0 | 0.083746 | 0.019833 | 0 | 0 | 0 | 0 | 0 | 1 | 0.054031 | false | 0.001715 | 0.01458 | 0 | 0.167238 | 0.012007 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
23b310cd18dcd4855312e1714b97f8d72aefce50 | 3,069 | py | Python | tests/forecast_test.py | heizo/gae-radishboya-forecast | 1b24312d153439ab8c004fa7bb4c220eb4d3674e | [
"MIT"
] | null | null | null | tests/forecast_test.py | heizo/gae-radishboya-forecast | 1b24312d153439ab8c004fa7bb4c220eb4d3674e | [
"MIT"
] | null | null | null | tests/forecast_test.py | heizo/gae-radishboya-forecast | 1b24312d153439ab8c004fa7bb4c220eb4d3674e | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import unittest
from google.appengine.ext import testbed
class PalletTestCase(unittest.TestCase):
'''
予報の段階
'''
def setUp(self):
self.testbed = testbed.Testbed()
self.testbed.activate()
self.testbed.setup_env(
ADDR_FROM='from@example.jp',
ADDR_RCPT='rcpt@example.jp',
overwrite=True)
from main import Forecast
self.p1 = Forecast(open('tests/data/webpage20180924.html'))
def tearDown(self):
self.testbed.deactivate()
def test_getName(self):
name = self.p1.getName()
self.assertEqual(u"ぱれっと 10選＋果物", name)
def test_getDeliveryDate(self):
date = self.p1.getDeliveryDate()
self.assertEqual(u"10月1日（月）お届け分", date)
def test_getUpdatedDate(self):
upd = self.p1.getUpdatedDate()
self.assertEqual(u"2018年9月24日更新", upd)
def test_getItem(self):
item = self.p1.getItem()
self.assertEqual(u"以下の品目を中心に野菜約10種類+果物1-2種類", item['head'])
self.assertEqual([u"にんじん", u"里芋", u"レタス", u"葉物", u"トマト", u"パプリカ", u"みかん"],
item['list'])
class PalletTestCase2(unittest.TestCase):
'''
確定の段階
'''
def setUp(self):
self.testbed = testbed.Testbed()
self.testbed.activate()
self.testbed.setup_env(
ADDR_FROM='from@example.jp',
ADDR_RCPT='rcpt@example.jp',
overwrite=True)
from main import Forecast
self.p1 = Forecast(open('tests/data/webpage20180928.html'))
def tearDown(self):
self.testbed.deactivate()
def test_getName(self):
name = self.p1.getName()
self.assertEqual(u"ぱれっと 10選＋果物", name)
def test_getDeliveryDate(self):
date = self.p1.getDeliveryDate()
self.assertEqual(u"10月1日（月）お届け分", date)
def test_getUpdatedDate(self):
upd = self.p1.getUpdatedDate()
self.assertEqual(u"2018年9月28日更新", upd)
def test_getItem(self):
item = self.p1.getItem()
self.assertEqual(u"以下の品目を中心に野菜約10種類+果物1-2種類", item['head'])
self.assertEqual([u"じゃがいも", u"れんこん", u"かぼちゃ", u"ブロッコリー", u"白菜", u"長ねぎ",
u"きゅうり", u"おくら", u"まいたけ", u"えん菜", u"柿", u"キウイフルーツ"],
item['list'])
class PalletTestCase3(unittest.TestCase):
'''
「表示可能なお届け予報の情報がありません。」
'''
def setUp(self):
self.testbed = testbed.Testbed()
self.testbed.activate()
self.testbed.setup_env(
ADDR_FROM='from@example.jp',
ADDR_RCPT='rcpt@example.jp',
overwrite=True)
from main import Forecast
self.p1 = Forecast(open('tests/data/webpage20181008_pre.html'))
def tearDown(self):
self.testbed.deactivate()
def test_getDeliveryDate(self):
date = self.p1.getDeliveryDate()
self.assertEqual(None, date)
def test_getUpdatedDate(self):
upd = self.p1.getUpdatedDate()
self.assertEqual(None, upd)
if __name__ == '__main__':
unittest.main()
| 29.228571 | 82 | 0.59824 | 352 | 3,069 | 5.136364 | 0.247159 | 0.043142 | 0.088496 | 0.026549 | 0.778761 | 0.778761 | 0.778761 | 0.778761 | 0.778761 | 0.756637 | 0 | 0.031887 | 0.264255 | 3,069 | 104 | 83 | 29.509615 | 0.768822 | 0.018573 | 0 | 0.773333 | 0 | 0 | 0.133513 | 0.048887 | 0 | 0 | 0 | 0 | 0.16 | 1 | 0.213333 | false | 0 | 0.066667 | 0 | 0.32 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
23db38e080ae7610e1c7031f9bfbf8ba8b1eba57 | 6,425 | py | Python | tests/test_ebnbm.py | aksarkar/scmodes | a05a81d69a1e4b2b21ee072c3cf0bcef65360f33 | [
"MIT"
] | 3 | 2020-05-04T19:50:26.000Z | 2021-03-01T06:30:48.000Z | tests/test_ebnbm.py | aksarkar/scmodes | a05a81d69a1e4b2b21ee072c3cf0bcef65360f33 | [
"MIT"
] | null | null | null | tests/test_ebnbm.py | aksarkar/scmodes | a05a81d69a1e4b2b21ee072c3cf0bcef65360f33 | [
"MIT"
] | null | null | null | import numpy as np
import scipy.stats as st
import scmodes.ebnbm
from ebpm.fixtures import *
@pytest.fixture
def simulate_nb_gamma():
np.random.seed(1)
n = 100
p = 5
s = 1e5 * np.ones((n, 1))
theta = 0.2
log_mu = np.random.uniform(-12, -6, size=(1, p))
log_phi = np.random.uniform(-6, 0, size=(1, p))
G = st.gamma(a=np.exp(-log_phi), scale=np.exp(log_mu + log_phi))
lam = G.rvs(size=(n, p))
x = st.nbinom(n=1 / theta, p=1 / (1 + s * lam * theta)).rvs()
return x, s, log_mu, log_phi, theta
def test_ebnbm_gamma_em(simulate_gamma):
x, s, log_mu, log_phi, _ = simulate_gamma
init = np.hstack([np.exp(-log_phi).ravel(), np.exp(-log_phi - log_mu).ravel(), 1e-3])
log_mu_hat, log_phi_hat, log_theta_hat, alpha, beta, gamma, delta, elbo = scmodes.ebnbm.ebnbm_gamma(
x, s, init=init, tol=1e-5, extrapolate=False)
assert log_mu_hat.shape == log_mu.shape
assert np.isfinite(log_mu_hat).all()
assert log_phi_hat.shape == log_phi.shape
assert np.isfinite(log_phi_hat).all()
assert log_theta_hat.shape == ()
assert np.isfinite(log_theta_hat)
assert alpha.shape == x.shape
assert np.isfinite(alpha).all()
assert (alpha > 0).all()
assert beta.shape == x.shape
assert np.isfinite(beta).all()
assert (beta > 0).all()
assert gamma.shape == x.shape
assert np.isfinite(gamma).all()
assert (gamma > 0).all()
assert delta.shape == x.shape
assert np.isfinite(delta).all()
assert (delta > 0).all()
assert elbo.shape == ()
assert np.isfinite(elbo)
assert elbo <= 0
def test_ebnbm_gamma_em_nb_measurement(simulate_nb_gamma):
x, s, log_mu, log_phi, theta = simulate_nb_gamma
init = np.hstack([np.exp(-log_phi).ravel(), np.exp(-log_phi - log_mu).ravel(), theta])
log_mu_hat, log_phi_hat, log_theta_hat, alpha, beta, gamma, delta, elbo = scmodes.ebnbm.ebnbm_gamma(
x, s, init=init, tol=1e-3, extrapolate=False)
assert log_mu_hat.shape == log_mu.shape
assert np.isfinite(log_mu_hat).all()
assert log_phi_hat.shape == log_phi.shape
assert np.isfinite(log_phi_hat).all()
assert log_theta_hat.shape == ()
assert np.isfinite(log_theta_hat)
assert alpha.shape == x.shape
assert np.isfinite(alpha).all()
assert (alpha > 0).all()
assert beta.shape == x.shape
assert np.isfinite(beta).all()
assert (beta > 0).all()
assert gamma.shape == x.shape
assert np.isfinite(gamma).all()
assert (gamma > 0).all()
assert delta.shape == x.shape
assert np.isfinite(delta).all()
assert (delta > 0).all()
assert elbo.shape == ()
assert np.isfinite(elbo)
assert elbo <= 0
def test_ebnbm_gamma_em_default_init(simulate_gamma):
x, s, log_mu, log_phi, _ = simulate_gamma
log_mu_hat, log_phi_hat, log_theta_hat, alpha, beta, gamma, delta, elbo = scmodes.ebnbm.ebnbm_gamma(
x, s, tol=100, extrapolate=False)
assert log_mu_hat.shape == log_mu.shape
assert np.isfinite(log_mu_hat).all()
assert log_phi_hat.shape == log_phi.shape
assert np.isfinite(log_phi_hat).all()
assert log_theta_hat.shape == ()
assert np.isfinite(log_theta_hat)
assert alpha.shape == x.shape
assert np.isfinite(alpha).all()
assert (alpha > 0).all()
assert beta.shape == x.shape
assert np.isfinite(beta).all()
assert (beta > 0).all()
assert gamma.shape == x.shape
assert np.isfinite(gamma).all()
assert (gamma > 0).all()
assert delta.shape == x.shape
assert np.isfinite(delta).all()
assert (delta > 0).all()
assert elbo.shape == ()
assert np.isfinite(elbo)
assert elbo <= 0
def test_ebnbm_gamma_squarem(simulate_gamma):
x, s, log_mu, log_phi, _ = simulate_gamma
init = np.hstack([np.exp(-log_phi).ravel(), np.exp(-log_phi - log_mu).ravel(), 1e-3])
log_mu_hat, log_phi_hat, log_theta_hat, alpha, beta, gamma, delta, elbo = scmodes.ebnbm.ebnbm_gamma(
x, s, init=init, tol=1e-5, extrapolate=True)
assert log_mu_hat.shape == log_mu.shape
assert np.isfinite(log_mu_hat).all()
assert log_phi_hat.shape == log_phi.shape
assert np.isfinite(log_phi_hat).all()
assert log_theta_hat.shape == ()
assert np.isfinite(log_theta_hat)
assert alpha.shape == x.shape
assert np.isfinite(alpha).all()
assert (alpha > 0).all()
assert beta.shape == x.shape
assert np.isfinite(beta).all()
assert (beta > 0).all()
assert gamma.shape == x.shape
assert np.isfinite(gamma).all()
assert (gamma > 0).all()
assert delta.shape == x.shape
assert np.isfinite(delta).all()
assert (delta > 0).all()
assert elbo.shape == ()
assert np.isfinite(elbo)
assert elbo <= 0
def test_ebnbm_gamma_squarem_nb_measurement(simulate_nb_gamma):
x, s, log_mu, log_phi, theta = simulate_nb_gamma
init = np.hstack([np.exp(-log_phi).ravel(), np.exp(-log_phi - log_mu).ravel(), theta])
log_mu_hat, log_phi_hat, log_theta_hat, alpha, beta, gamma, delta, elbo = scmodes.ebnbm.ebnbm_gamma(
x, s, init=init, tol=1e-3, extrapolate=True)
assert log_mu_hat.shape == log_mu.shape
assert np.isfinite(log_mu_hat).all()
assert log_phi_hat.shape == log_phi.shape
assert np.isfinite(log_phi_hat).all()
assert log_theta_hat.shape == ()
assert np.isfinite(log_theta_hat)
assert alpha.shape == x.shape
assert np.isfinite(alpha).all()
assert (alpha > 0).all()
assert beta.shape == x.shape
assert np.isfinite(beta).all()
assert (beta > 0).all()
assert gamma.shape == x.shape
assert np.isfinite(gamma).all()
assert (gamma > 0).all()
assert delta.shape == x.shape
assert np.isfinite(delta).all()
assert (delta > 0).all()
assert elbo.shape == ()
assert np.isfinite(elbo)
assert elbo <= 0
def test_ebnbm_gamma_squarem_default_init(simulate_gamma):
x, s, log_mu, log_phi, _ = simulate_gamma
log_mu_hat, log_phi_hat, log_theta_hat, alpha, beta, gamma, delta, elbo = scmodes.ebnbm.ebnbm_gamma(
x, s, tol=10, extrapolate=True)
assert log_mu_hat.shape == log_mu.shape
assert np.isfinite(log_mu_hat).all()
assert log_phi_hat.shape == log_phi.shape
assert np.isfinite(log_phi_hat).all()
assert log_theta_hat.shape == ()
assert np.isfinite(log_theta_hat)
assert alpha.shape == x.shape
assert np.isfinite(alpha).all()
assert (alpha > 0).all()
assert beta.shape == x.shape
assert np.isfinite(beta).all()
assert (beta > 0).all()
assert gamma.shape == x.shape
assert np.isfinite(gamma).all()
assert (gamma > 0).all()
assert delta.shape == x.shape
assert np.isfinite(delta).all()
assert (delta > 0).all()
assert elbo.shape == ()
assert np.isfinite(elbo)
assert elbo <= 0
| 35.893855 | 102 | 0.696187 | 1,069 | 6,425 | 3.992516 | 0.066417 | 0.126523 | 0.146204 | 0.236176 | 0.930178 | 0.925726 | 0.925726 | 0.921509 | 0.921509 | 0.921509 | 0 | 0.012328 | 0.154086 | 6,425 | 178 | 103 | 36.095506 | 0.772953 | 0 | 0 | 0.830409 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.736842 | 1 | 0.040936 | false | 0 | 0.023392 | 0 | 0.070175 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 |
23eddcaa5455d8f74a2703ae7043277fee2bf034 | 186 | py | Python | packages/gtmcore/gtmcore/gitlib/__init__.py | jjwatts/gigantum-client | 88ce0475fb6880322bdd06d987c494e29064f278 | [
"MIT"
] | null | null | null | packages/gtmcore/gtmcore/gitlib/__init__.py | jjwatts/gigantum-client | 88ce0475fb6880322bdd06d987c494e29064f278 | [
"MIT"
] | null | null | null | packages/gtmcore/gtmcore/gitlib/__init__.py | jjwatts/gigantum-client | 88ce0475fb6880322bdd06d987c494e29064f278 | [
"MIT"
] | null | null | null | from gtmcore.gitlib.git import get_git_interface, GitAuthor, GitRepoInterface
from gtmcore.gitlib.git_fs import GitFilesystem
from gtmcore.gitlib.git_fs_shim import GitFilesystemShimmed
| 46.5 | 77 | 0.88172 | 25 | 186 | 6.36 | 0.52 | 0.207547 | 0.320755 | 0.377358 | 0.27673 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.075269 | 186 | 3 | 78 | 62 | 0.924419 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 7 |
f1af7482c1545f54194276a2fa1a999329e30b7d | 20,059 | py | Python | testapp/wagtail_wordpress_importer/migrations/0001_initial.py | nickmoreton/wagtail_wordpress_importer | fbe6b60ae624edac3f42a62ce30af4a0c548b4ed | [
"MIT"
] | null | null | null | testapp/wagtail_wordpress_importer/migrations/0001_initial.py | nickmoreton/wagtail_wordpress_importer | fbe6b60ae624edac3f42a62ce30af4a0c548b4ed | [
"MIT"
] | null | null | null | testapp/wagtail_wordpress_importer/migrations/0001_initial.py | nickmoreton/wagtail_wordpress_importer | fbe6b60ae624edac3f42a62ce30af4a0c548b4ed | [
"MIT"
] | null | null | null | # Generated by Django 3.1.4 on 2021-01-06 16:22
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
import simple_history.models
class Migration(migrations.Migration):
initial = True
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
]
operations = [
migrations.CreateModel(
name='ImportBlog',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('wp_id', models.PositiveIntegerField(verbose_name='Wordpress ID')),
('date_gmt', models.DateTimeField(blank=True, null=True)),
('modified_gmt', models.DateTimeField(blank=True, null=True)),
('sub_site', models.CharField(blank=True, max_length=100, null=True)),
('slug', models.SlugField(blank=True)),
('status', models.CharField(blank=True, max_length=255)),
('_type', models.CharField(blank=True, max_length=255)),
('link', models.URLField(blank=True)),
('title', models.TextField(blank=True)),
('content', models.TextField(blank=True)),
('author', models.PositiveIntegerField(default=0)),
('featured_media', models.PositiveIntegerField(default=0)),
('comment_status', models.CharField(blank=True, max_length=255)),
('ping_status', models.CharField(blank=True, max_length=255)),
('template', models.CharField(blank=True, max_length=255)),
('categories', models.TextField(blank=True)),
('custom_fields', models.TextField(blank=True)),
('guest_authors', models.TextField(blank=True)),
],
options={
'verbose_name': 'Blog',
'verbose_name_plural': 'Blogs',
},
),
migrations.CreateModel(
name='ImportCategory',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('wp_id', models.PositiveIntegerField(verbose_name='Wordpress ID')),
('date_gmt', models.DateTimeField(blank=True, null=True)),
('modified_gmt', models.DateTimeField(blank=True, null=True)),
('sub_site', models.CharField(blank=True, max_length=100, null=True)),
('count', models.PositiveIntegerField(default=0)),
('description', models.TextField(blank=True)),
('link', models.URLField(blank=True)),
('name', models.TextField(blank=True)),
('slug', models.SlugField(blank=True)),
('taxonomy', models.CharField(blank=True, max_length=255)),
('parent', models.PositiveIntegerField(default=0)),
],
options={
'verbose_name': 'Category',
'verbose_name_plural': 'Categories',
},
),
migrations.CreateModel(
name='ImportPage',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('wp_id', models.PositiveIntegerField(verbose_name='Wordpress ID')),
('date_gmt', models.DateTimeField(blank=True, null=True)),
('modified_gmt', models.DateTimeField(blank=True, null=True)),
('sub_site', models.CharField(blank=True, max_length=100, null=True)),
('slug', models.SlugField(blank=True)),
('status', models.CharField(blank=True, max_length=255)),
('_type', models.CharField(blank=True, max_length=255)),
('link', models.URLField(blank=True)),
('title', models.TextField(blank=True)),
('content', models.TextField(blank=True)),
('excerpt', models.TextField(blank=True)),
('author', models.PositiveIntegerField(default=0)),
('featured_media', models.PositiveIntegerField(default=0)),
('parent', models.PositiveIntegerField(default=0)),
('menu_order', models.IntegerField(default=0)),
('comment_status', models.CharField(blank=True, max_length=255)),
('ping_status', models.CharField(blank=True, max_length=255)),
('template', models.CharField(blank=True, max_length=255)),
('custom_fields', models.TextField(blank=True)),
],
options={
'verbose_name': 'Page',
'verbose_name_plural': 'Pages',
},
),
migrations.CreateModel(
name='ImportPublicationType',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('wp_id', models.PositiveIntegerField(verbose_name='Wordpress ID')),
('date_gmt', models.DateTimeField(blank=True, null=True)),
('modified_gmt', models.DateTimeField(blank=True, null=True)),
('sub_site', models.CharField(blank=True, max_length=100, null=True)),
('count', models.PositiveIntegerField(default=0)),
('description', models.TextField(blank=True)),
('link', models.URLField(blank=True)),
('name', models.TextField(blank=True)),
('slug', models.SlugField(blank=True)),
('taxonomy', models.CharField(blank=True, max_length=255)),
('parent', models.PositiveIntegerField(default=0)),
],
options={
'verbose_name': 'Publication Type',
'verbose_name_plural': 'Publication Types',
},
),
migrations.CreateModel(
name='ImportRegion',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('wp_id', models.PositiveIntegerField(verbose_name='Wordpress ID')),
('date_gmt', models.DateTimeField(blank=True, null=True)),
('modified_gmt', models.DateTimeField(blank=True, null=True)),
('sub_site', models.CharField(blank=True, max_length=100, null=True)),
('count', models.PositiveIntegerField(default=0)),
('description', models.TextField(blank=True)),
('link', models.URLField(blank=True)),
('name', models.TextField(blank=True)),
('slug', models.SlugField(blank=True)),
('taxonomy', models.CharField(blank=True, max_length=255)),
('parent', models.PositiveIntegerField(default=0)),
],
options={
'verbose_name': 'Region',
'verbose_name_plural': 'Regions',
},
),
migrations.CreateModel(
name='ImportSetting',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('wp_id', models.PositiveIntegerField(verbose_name='Wordpress ID')),
('date_gmt', models.DateTimeField(blank=True, null=True)),
('modified_gmt', models.DateTimeField(blank=True, null=True)),
('sub_site', models.CharField(blank=True, max_length=100, null=True)),
('count', models.PositiveIntegerField(default=0)),
('description', models.TextField(blank=True)),
('link', models.URLField(blank=True)),
('name', models.TextField(blank=True)),
('slug', models.SlugField(blank=True)),
('taxonomy', models.CharField(blank=True, max_length=255)),
('parent', models.PositiveIntegerField(default=0)),
],
options={
'verbose_name': 'Setting',
'verbose_name_plural': 'Settings',
},
),
migrations.CreateModel(
name='HistoricalImportSetting',
fields=[
('id', models.IntegerField(auto_created=True, blank=True, db_index=True, verbose_name='ID')),
('wp_id', models.PositiveIntegerField(verbose_name='Wordpress ID')),
('date_gmt', models.DateTimeField(blank=True, null=True)),
('modified_gmt', models.DateTimeField(blank=True, null=True)),
('sub_site', models.CharField(blank=True, max_length=100, null=True)),
('count', models.PositiveIntegerField(default=0)),
('description', models.TextField(blank=True)),
('link', models.URLField(blank=True)),
('name', models.TextField(blank=True)),
('slug', models.SlugField(blank=True)),
('taxonomy', models.CharField(blank=True, max_length=255)),
('parent', models.PositiveIntegerField(default=0)),
('history_id', models.AutoField(primary_key=True, serialize=False)),
('history_date', models.DateTimeField()),
('history_change_reason', models.CharField(max_length=100, null=True)),
('history_type', models.CharField(choices=[('+', 'Created'), ('~', 'Changed'), ('-', 'Deleted')], max_length=1)),
('history_user', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to=settings.AUTH_USER_MODEL)),
],
options={
'verbose_name': 'historical Setting',
'ordering': ('-history_date', '-history_id'),
'get_latest_by': 'history_date',
},
bases=(simple_history.models.HistoricalChanges, models.Model),
),
migrations.CreateModel(
name='HistoricalImportRegion',
fields=[
('id', models.IntegerField(auto_created=True, blank=True, db_index=True, verbose_name='ID')),
('wp_id', models.PositiveIntegerField(verbose_name='Wordpress ID')),
('date_gmt', models.DateTimeField(blank=True, null=True)),
('modified_gmt', models.DateTimeField(blank=True, null=True)),
('sub_site', models.CharField(blank=True, max_length=100, null=True)),
('count', models.PositiveIntegerField(default=0)),
('description', models.TextField(blank=True)),
('link', models.URLField(blank=True)),
('name', models.TextField(blank=True)),
('slug', models.SlugField(blank=True)),
('taxonomy', models.CharField(blank=True, max_length=255)),
('parent', models.PositiveIntegerField(default=0)),
('history_id', models.AutoField(primary_key=True, serialize=False)),
('history_date', models.DateTimeField()),
('history_change_reason', models.CharField(max_length=100, null=True)),
('history_type', models.CharField(choices=[('+', 'Created'), ('~', 'Changed'), ('-', 'Deleted')], max_length=1)),
('history_user', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to=settings.AUTH_USER_MODEL)),
],
options={
'verbose_name': 'historical Region',
'ordering': ('-history_date', '-history_id'),
'get_latest_by': 'history_date',
},
bases=(simple_history.models.HistoricalChanges, models.Model),
),
migrations.CreateModel(
name='HistoricalImportPublicationType',
fields=[
('id', models.IntegerField(auto_created=True, blank=True, db_index=True, verbose_name='ID')),
('wp_id', models.PositiveIntegerField(verbose_name='Wordpress ID')),
('date_gmt', models.DateTimeField(blank=True, null=True)),
('modified_gmt', models.DateTimeField(blank=True, null=True)),
('sub_site', models.CharField(blank=True, max_length=100, null=True)),
('count', models.PositiveIntegerField(default=0)),
('description', models.TextField(blank=True)),
('link', models.URLField(blank=True)),
('name', models.TextField(blank=True)),
('slug', models.SlugField(blank=True)),
('taxonomy', models.CharField(blank=True, max_length=255)),
('parent', models.PositiveIntegerField(default=0)),
('history_id', models.AutoField(primary_key=True, serialize=False)),
('history_date', models.DateTimeField()),
('history_change_reason', models.CharField(max_length=100, null=True)),
('history_type', models.CharField(choices=[('+', 'Created'), ('~', 'Changed'), ('-', 'Deleted')], max_length=1)),
('history_user', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to=settings.AUTH_USER_MODEL)),
],
options={
'verbose_name': 'historical Publication Type',
'ordering': ('-history_date', '-history_id'),
'get_latest_by': 'history_date',
},
bases=(simple_history.models.HistoricalChanges, models.Model),
),
migrations.CreateModel(
name='HistoricalImportPage',
fields=[
('id', models.IntegerField(auto_created=True, blank=True, db_index=True, verbose_name='ID')),
('wp_id', models.PositiveIntegerField(verbose_name='Wordpress ID')),
('date_gmt', models.DateTimeField(blank=True, null=True)),
('modified_gmt', models.DateTimeField(blank=True, null=True)),
('sub_site', models.CharField(blank=True, max_length=100, null=True)),
('slug', models.SlugField(blank=True)),
('status', models.CharField(blank=True, max_length=255)),
('_type', models.CharField(blank=True, max_length=255)),
('link', models.URLField(blank=True)),
('title', models.TextField(blank=True)),
('content', models.TextField(blank=True)),
('excerpt', models.TextField(blank=True)),
('author', models.PositiveIntegerField(default=0)),
('featured_media', models.PositiveIntegerField(default=0)),
('parent', models.PositiveIntegerField(default=0)),
('menu_order', models.IntegerField(default=0)),
('comment_status', models.CharField(blank=True, max_length=255)),
('ping_status', models.CharField(blank=True, max_length=255)),
('template', models.CharField(blank=True, max_length=255)),
('custom_fields', models.TextField(blank=True)),
('history_id', models.AutoField(primary_key=True, serialize=False)),
('history_date', models.DateTimeField()),
('history_change_reason', models.CharField(max_length=100, null=True)),
('history_type', models.CharField(choices=[('+', 'Created'), ('~', 'Changed'), ('-', 'Deleted')], max_length=1)),
('history_user', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to=settings.AUTH_USER_MODEL)),
],
options={
'verbose_name': 'historical Page',
'ordering': ('-history_date', '-history_id'),
'get_latest_by': 'history_date',
},
bases=(simple_history.models.HistoricalChanges, models.Model),
),
migrations.CreateModel(
name='HistoricalImportCategory',
fields=[
('id', models.IntegerField(auto_created=True, blank=True, db_index=True, verbose_name='ID')),
('wp_id', models.PositiveIntegerField(verbose_name='Wordpress ID')),
('date_gmt', models.DateTimeField(blank=True, null=True)),
('modified_gmt', models.DateTimeField(blank=True, null=True)),
('sub_site', models.CharField(blank=True, max_length=100, null=True)),
('count', models.PositiveIntegerField(default=0)),
('description', models.TextField(blank=True)),
('link', models.URLField(blank=True)),
('name', models.TextField(blank=True)),
('slug', models.SlugField(blank=True)),
('taxonomy', models.CharField(blank=True, max_length=255)),
('parent', models.PositiveIntegerField(default=0)),
('history_id', models.AutoField(primary_key=True, serialize=False)),
('history_date', models.DateTimeField()),
('history_change_reason', models.CharField(max_length=100, null=True)),
('history_type', models.CharField(choices=[('+', 'Created'), ('~', 'Changed'), ('-', 'Deleted')], max_length=1)),
('history_user', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to=settings.AUTH_USER_MODEL)),
],
options={
'verbose_name': 'historical Category',
'ordering': ('-history_date', '-history_id'),
'get_latest_by': 'history_date',
},
bases=(simple_history.models.HistoricalChanges, models.Model),
),
migrations.CreateModel(
name='HistoricalImportBlog',
fields=[
('id', models.IntegerField(auto_created=True, blank=True, db_index=True, verbose_name='ID')),
('wp_id', models.PositiveIntegerField(verbose_name='Wordpress ID')),
('date_gmt', models.DateTimeField(blank=True, null=True)),
('modified_gmt', models.DateTimeField(blank=True, null=True)),
('sub_site', models.CharField(blank=True, max_length=100, null=True)),
('slug', models.SlugField(blank=True)),
('status', models.CharField(blank=True, max_length=255)),
('_type', models.CharField(blank=True, max_length=255)),
('link', models.URLField(blank=True)),
('title', models.TextField(blank=True)),
('content', models.TextField(blank=True)),
('author', models.PositiveIntegerField(default=0)),
('featured_media', models.PositiveIntegerField(default=0)),
('comment_status', models.CharField(blank=True, max_length=255)),
('ping_status', models.CharField(blank=True, max_length=255)),
('template', models.CharField(blank=True, max_length=255)),
('categories', models.TextField(blank=True)),
('custom_fields', models.TextField(blank=True)),
('guest_authors', models.TextField(blank=True)),
('history_id', models.AutoField(primary_key=True, serialize=False)),
('history_date', models.DateTimeField()),
('history_change_reason', models.CharField(max_length=100, null=True)),
('history_type', models.CharField(choices=[('+', 'Created'), ('~', 'Changed'), ('-', 'Deleted')], max_length=1)),
('history_user', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to=settings.AUTH_USER_MODEL)),
],
options={
'verbose_name': 'historical Blog',
'ordering': ('-history_date', '-history_id'),
'get_latest_by': 'history_date',
},
bases=(simple_history.models.HistoricalChanges, models.Model),
),
]
| 58.48105 | 156 | 0.568722 | 1,882 | 20,059 | 5.897981 | 0.069607 | 0.103784 | 0.072072 | 0.086486 | 0.918829 | 0.918829 | 0.918829 | 0.915586 | 0.915586 | 0.915586 | 0 | 0.012903 | 0.277481 | 20,059 | 342 | 157 | 58.652047 | 0.752984 | 0.002243 | 0 | 0.841791 | 1 | 0 | 0.149111 | 0.012343 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.047761 | 0 | 0.059701 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
f1c4236156ef774d866636eec7e09d31582553ed | 208 | py | Python | unitorch/models/bert/__init__.py | fuliucansheng/UniTorch | 47038321593ce4e7eabda555bd58c0cf89482146 | [
"MIT"
] | 2 | 2022-02-05T08:52:00.000Z | 2022-03-27T07:01:34.000Z | unitorch/models/bert/__init__.py | Lixin-Qian/unitorch | 47038321593ce4e7eabda555bd58c0cf89482146 | [
"MIT"
] | null | null | null | unitorch/models/bert/__init__.py | Lixin-Qian/unitorch | 47038321593ce4e7eabda555bd58c0cf89482146 | [
"MIT"
] | 1 | 2022-03-27T07:01:13.000Z | 2022-03-27T07:01:13.000Z | # Copyright (c) FULIUCANSHENG.
# Licensed under the MIT License.
from unitorch.models.bert.modeling import BertForClassification
from unitorch.models.bert.processing import BertProcessor, get_bert_tokenizer
| 34.666667 | 77 | 0.841346 | 25 | 208 | 6.92 | 0.76 | 0.138728 | 0.208092 | 0.254335 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.096154 | 208 | 5 | 78 | 41.6 | 0.920213 | 0.288462 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
f1fce768acd854130bf4421a19457bba206440c6 | 86,929 | py | Python | src/models/HRNet.py | Tumenn/xView3_3rd_place_solution | 606ec58288e8ec051240c25fa11412bffcf933b0 | [
"MIT"
] | 2 | 2022-01-16T08:39:41.000Z | 2022-01-17T12:43:43.000Z | src/models/HRNet.py | Tumenn/xView3_3rd_place_solution | 606ec58288e8ec051240c25fa11412bffcf933b0 | [
"MIT"
] | 1 | 2022-02-06T17:27:33.000Z | 2022-02-06T17:27:33.000Z | src/models/HRNet.py | Tumenn/xView3_3rd_place_solution | 606ec58288e8ec051240c25fa11412bffcf933b0 | [
"MIT"
] | 1 | 2022-01-31T21:29:07.000Z | 2022-01-31T21:29:07.000Z | # ------------------------------------------------------------------------------
# Copyright (c) Microsoft
# Licensed under the MIT License.
# Written by Ke Sun (sunk@mail.ustc.edu.cn)
# ------------------------------------------------------------------------------
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
import logging
import functools
import numpy as np
import torch
import torch.nn as nn
import torch._utils
import torch.nn.functional as F
# from .sync_bn.inplace_abn.bn import InPlaceABNSync
# from torch.nn import nn.BatchNorm2d
# # nn.BatchNorm2d = functools.partial(InPlaceABNSync, activation='none')
# nn.BatchNorm2d = functools.partial(nn.BatchNorm2d, activation='none')
BN_MOMENTUM = 0.01
logger = logging.getLogger(__name__)
def conv3x3(in_planes, out_planes, stride=1):
"""3x3 convolution with padding"""
return nn.Conv2d(in_planes, out_planes, kernel_size=3, stride=stride,
padding=1, bias=False)
stage1_18_v1_cfg = {'NUM_CHANNELS': [32], 'BLOCK':'BOTTLENECK', 'NUM_BLOCKS':[1], 'NUM_MODULES':1, 'NUM_BRANCHES':1, 'FUSE_METHOD':'SUM'}
stage2_18_v1_cfg = {'NUM_CHANNELS': [16,32], 'BLOCK':'BASIC', 'NUM_BLOCKS':[2,2], 'NUM_MODULES':1, 'NUM_BRANCHES':2, 'FUSE_METHOD':'SUM'}
stage3_18_v1_cfg = {'NUM_CHANNELS': [16,32,64], 'BLOCK':'BASIC', 'NUM_BLOCKS':[2,2,2], 'NUM_MODULES':1, 'NUM_BRANCHES':3, 'FUSE_METHOD':'SUM'}
stage4_18_v1_cfg = {'NUM_CHANNELS': [16,32,64,128], 'BLOCK':'BASIC', 'NUM_BLOCKS':[2,2,2,2], 'NUM_MODULES':1, 'NUM_BRANCHES':4, 'FUSE_METHOD':'SUM'}
hrnet_w18_v1_cfg = {'stage1':stage1_18_v1_cfg,'stage2':stage2_18_v1_cfg,'stage3':stage3_18_v1_cfg,'stage4':stage4_18_v1_cfg}
stage1_18_v2_cfg = {'NUM_CHANNELS': [64], 'BLOCK':'BOTTLENECK', 'NUM_BLOCKS':[2], 'NUM_MODULES':1, 'NUM_BRANCHES':1, 'FUSE_METHOD':'SUM'}
stage2_18_v2_cfg = {'NUM_CHANNELS': [18,36], 'BLOCK':'BASIC', 'NUM_BLOCKS':[2,2], 'NUM_MODULES':1, 'NUM_BRANCHES':2, 'FUSE_METHOD':'SUM'}
stage3_18_v2_cfg = {'NUM_CHANNELS': [18,36,72], 'BLOCK':'BASIC', 'NUM_BLOCKS':[2,2,2], 'NUM_MODULES':3, 'NUM_BRANCHES':3, 'FUSE_METHOD':'SUM'}
stage4_18_v2_cfg = {'NUM_CHANNELS': [18,36,72,144], 'BLOCK':'BASIC', 'NUM_BLOCKS':[2,2,2,2], 'NUM_MODULES':2, 'NUM_BRANCHES':4, 'FUSE_METHOD':'SUM'}
hrnet_w18_v2_cfg = {'stage1':stage1_18_v2_cfg,'stage2':stage2_18_v2_cfg,'stage3':stage3_18_v2_cfg,'stage4':stage4_18_v2_cfg}
stage1_18_cfg = {'NUM_CHANNELS': [64], 'BLOCK':'BOTTLENECK', 'NUM_BLOCKS':[4], 'NUM_MODULES':1, 'NUM_BRANCHES':1, 'FUSE_METHOD':'SUM'}
stage2_18_cfg = {'NUM_CHANNELS': [18,36], 'BLOCK':'BASIC', 'NUM_BLOCKS':[4,4], 'NUM_MODULES':1, 'NUM_BRANCHES':2, 'FUSE_METHOD':'SUM'}
stage3_18_cfg = {'NUM_CHANNELS': [18,36,72], 'BLOCK':'BASIC', 'NUM_BLOCKS':[4,4,4], 'NUM_MODULES':4, 'NUM_BRANCHES':3, 'FUSE_METHOD':'SUM'}
stage4_18_cfg = {'NUM_CHANNELS': [18,36,72,144], 'BLOCK':'BASIC', 'NUM_BLOCKS':[4,4,4,4], 'NUM_MODULES':3, 'NUM_BRANCHES':4, 'FUSE_METHOD':'SUM'}
hrnet_w18_cfg = {'stage1':stage1_18_cfg,'stage2':stage2_18_cfg,'stage3':stage3_18_cfg,'stage4':stage4_18_cfg}
stage1_30_cfg = {'NUM_CHANNELS': [64], 'BLOCK':'BOTTLENECK', 'NUM_BLOCKS':[4], 'NUM_MODULES':1, 'NUM_BRANCHES':1, 'FUSE_METHOD':'SUM'}
stage2_30_cfg = {'NUM_CHANNELS': [30,60], 'BLOCK':'BASIC', 'NUM_BLOCKS':[4,4], 'NUM_MODULES':1, 'NUM_BRANCHES':2, 'FUSE_METHOD':'SUM'}
stage3_30_cfg = {'NUM_CHANNELS': [30,60,120], 'BLOCK':'BASIC', 'NUM_BLOCKS':[4,4,4], 'NUM_MODULES':4, 'NUM_BRANCHES':3, 'FUSE_METHOD':'SUM'}
stage4_30_cfg = {'NUM_CHANNELS': [30,60,120,240], 'BLOCK':'BASIC', 'NUM_BLOCKS':[4,4,4,4], 'NUM_MODULES':3, 'NUM_BRANCHES':4, 'FUSE_METHOD':'SUM'}
hrnet_w30_cfg = {'stage1':stage1_30_cfg,'stage2':stage2_30_cfg,'stage3':stage3_30_cfg,'stage4':stage4_30_cfg}
stage1_40_cfg = {'NUM_CHANNELS': [64], 'BLOCK':'BOTTLENECK', 'NUM_BLOCKS':[4], 'NUM_MODULES':1, 'NUM_BRANCHES':1, 'FUSE_METHOD':'SUM'}
stage2_40_cfg = {'NUM_CHANNELS': [40,80], 'BLOCK':'BASIC', 'NUM_BLOCKS':[4,4], 'NUM_MODULES':1, 'NUM_BRANCHES':2, 'FUSE_METHOD':'SUM'}
stage3_40_cfg = {'NUM_CHANNELS': [40,80,160], 'BLOCK':'BASIC', 'NUM_BLOCKS':[4,4,4], 'NUM_MODULES':4, 'NUM_BRANCHES':3, 'FUSE_METHOD':'SUM'}
stage4_40_cfg = {'NUM_CHANNELS': [40,80,160,320], 'BLOCK':'BASIC', 'NUM_BLOCKS':[4,4,4,4], 'NUM_MODULES':3, 'NUM_BRANCHES':4, 'FUSE_METHOD':'SUM'}
hrnet_w40_cfg = {'stage1':stage1_40_cfg,'stage2':stage2_40_cfg,'stage3':stage3_40_cfg,'stage4':stage4_40_cfg}
stage1_48_cfg = {'NUM_CHANNELS': [64], 'BLOCK':'BOTTLENECK', 'NUM_BLOCKS':[4], 'NUM_MODULES':1, 'NUM_BRANCHES':1, 'FUSE_METHOD':'SUM'}
stage2_48_cfg = {'NUM_CHANNELS': [48,96], 'BLOCK':'BASIC', 'NUM_BLOCKS':[4,4], 'NUM_MODULES':1, 'NUM_BRANCHES':2, 'FUSE_METHOD':'SUM'}
stage3_48_cfg = {'NUM_CHANNELS': [48,96,192], 'BLOCK':'BASIC', 'NUM_BLOCKS':[4,4,4], 'NUM_MODULES':4, 'NUM_BRANCHES':3, 'FUSE_METHOD':'SUM'}
stage4_48_cfg = {'NUM_CHANNELS': [48,96,192,384], 'BLOCK':'BASIC', 'NUM_BLOCKS':[4,4,4,4], 'NUM_MODULES':3, 'NUM_BRANCHES':4, 'FUSE_METHOD':'SUM'}
hrnet_w48_cfg = {'stage1':stage1_48_cfg,'stage2':stage2_48_cfg,'stage3':stage3_48_cfg,'stage4':stage4_48_cfg}
stage1_64_cfg = {'NUM_CHANNELS': [64], 'BLOCK':'BOTTLENECK', 'NUM_BLOCKS':[4], 'NUM_MODULES':1, 'NUM_BRANCHES':1, 'FUSE_METHOD':'SUM'}
stage2_64_cfg = {'NUM_CHANNELS': [64,128], 'BLOCK':'BASIC', 'NUM_BLOCKS':[4,4], 'NUM_MODULES':1, 'NUM_BRANCHES':2, 'FUSE_METHOD':'SUM'}
stage3_64_cfg = {'NUM_CHANNELS': [64,128,256], 'BLOCK':'BASIC', 'NUM_BLOCKS':[4,4,4], 'NUM_MODULES':4, 'NUM_BRANCHES':3, 'FUSE_METHOD':'SUM'}
stage4_64_cfg = {'NUM_CHANNELS': [64,128,256,512], 'BLOCK':'BASIC', 'NUM_BLOCKS':[4,4,4,4], 'NUM_MODULES':3, 'NUM_BRANCHES':4, 'FUSE_METHOD':'SUM'}
hrnet_w64_cfg = {'stage1':stage1_64_cfg,'stage2':stage2_64_cfg,'stage3':stage3_64_cfg,'stage4':stage4_64_cfg}
class SpatialGate(nn.Module):
def __init__(self):
super(SpatialGate, self).__init__()
kernel_size = 7
self.spatial = nn.Sequential(
nn.Conv2d(2, 1, kernel_size, stride=1, padding=3, bias=False),
nn.BatchNorm2d(2,eps=1e-5, momentum=0.01, affine=True)
)
def forward(self, x):
x_max = torch.max(x,1)[0].unsqueeze(1)
x_mean = torch.mean(x,1).unsqueeze(1)
x_compress = torch.cat([x_max,x_mean], dim=1)
x_out = self.spatial(x_compress)
scale = F.sigmoid(x_out) # broadcasting
return x * scale
class ChannelGate(nn.Module):
def __init__(self, gate_channels, reduction_ratio=4):
super(ChannelGate, self).__init__()
self.gate_channels = gate_channels
self.mlp = nn.Sequential(
nn.Linear(gate_channels, gate_channels // reduction_ratio),
nn.ReLU(),
nn.Linear(gate_channels // reduction_ratio, gate_channels)
)
def forward(self, x):
x_max = F.max_pool2d( x, (x.size(2), x.size(3)), stride=(x.size(2), x.size(3))).view(x.size(0), -1)
x_mean = F.avg_pool2d( x, (x.size(2), x.size(3)), stride=(x.size(2), x.size(3))).view(x.size(0), -1)
x_max_att = self.mlp(x_max)
x_mean_att = self.mlp(x_mean)
att_sum = x_max_att + x_mean_att
scale = F.sigmoid( att_sum ).unsqueeze(2).unsqueeze(3).expand_as(x)
return x * scale
class Gate(nn.Module):
def __init__(self, gate_channels=32, reduction_ratio=4, is_channel=True, is_spatial=True):
super(Gate, self).__init__()
self.is_channel = is_channel
self.is_spatial = is_spatial
if self.is_channel:
self.channel_gate = ChannelGate(gate_channels,reduction_ratio)
if self.is_spatial:
self.spatial_gate = SpatialGate()
def forward(self, x):
if self.is_channel:
x = self.channel_gate(x)
if self.is_spatial:
x = self.spatial_gate(x)
return x
class BasicBlock(nn.Module):
expansion = 1
def __init__(self, inplanes, planes, stride=1, downsample=None):
super(BasicBlock, self).__init__()
self.conv1 = conv3x3(inplanes, planes, stride)
self.bn1 = nn.BatchNorm2d(planes, momentum=BN_MOMENTUM)
self.relu = nn.ReLU(inplace=False)
self.conv2 = conv3x3(planes, planes)
self.bn2 = nn.BatchNorm2d(planes, momentum=BN_MOMENTUM)
self.downsample = downsample
self.stride = stride
def forward(self, x):
residual = x
out = self.conv1(x)
out = self.bn1(out)
out = self.relu(out)
out = self.conv2(out)
out = self.bn2(out)
if self.downsample is not None:
residual = self.downsample(x)
out = out + residual
out = self.relu(out)
return out
class Bottleneck(nn.Module):
expansion = 4
def __init__(self, inplanes, planes, stride=1, downsample=None):
super(Bottleneck, self).__init__()
self.conv1 = nn.Conv2d(inplanes, planes, kernel_size=1, bias=False)
self.bn1 = nn.BatchNorm2d(planes, momentum=BN_MOMENTUM)
self.conv2 = nn.Conv2d(planes, planes, kernel_size=3, stride=stride,
padding=1, bias=False)
self.bn2 = nn.BatchNorm2d(planes, momentum=BN_MOMENTUM)
self.conv3 = nn.Conv2d(planes, planes * self.expansion, kernel_size=1,
bias=False)
self.bn3 = nn.BatchNorm2d(planes * self.expansion,
momentum=BN_MOMENTUM)
self.relu = nn.ReLU(inplace=False)
self.downsample = downsample
self.stride = stride
def forward(self, x):
residual = x
out = self.conv1(x)
out = self.bn1(out)
out = self.relu(out)
out = self.conv2(out)
out = self.bn2(out)
out = self.relu(out)
out = self.conv3(out)
out = self.bn3(out)
if self.downsample is not None:
residual = self.downsample(x)
out = out + residual
out = self.relu(out)
return out
class IBN(nn.Module):
def __init__(self, planes):
super(IBN, self).__init__()
half1 = int(planes/2)
self.half = half1
half2 = planes - half1
self.IN = nn.InstanceNorm2d(half1, affine=True)
self.BN = nn.BatchNorm2d(half2)
def forward(self, x):
split = torch.split(x, self.half, 1)
out1 = self.IN(split[0].contiguous())
out2 = self.BN(split[1].contiguous())
out = torch.cat((out1, out2), 1)
return out
class BasicBlockIBN(nn.Module):
expansion = 1
def __init__(self, inplanes, planes, stride=1, downsample=None):
super(BasicBlockIBN, self).__init__()
self.conv1 = conv3x3(inplanes, planes, stride)
self.bn1 = IBN(planes)
self.relu = nn.ReLU(inplace=False)
self.conv2 = conv3x3(planes, planes)
self.bn2 = nn.BatchNorm2d(planes, momentum=BN_MOMENTUM)
self.downsample = downsample
self.stride = stride
def forward(self, x):
residual = x
out = self.conv1(x)
out = self.bn1(out)
out = self.relu(out)
out = self.conv2(out)
out = self.bn2(out)
if self.downsample is not None:
residual = self.downsample(x)
out = out + residual
out = self.relu(out)
return out
class BottleneckIBN(nn.Module):
expansion = 4
def __init__(self, inplanes, planes, stride=1, downsample=None):
super(BottleneckIBN, self).__init__()
self.conv1 = nn.Conv2d(inplanes, planes, kernel_size=1, bias=False)
self.bn1 = IBN(planes)
self.conv2 = nn.Conv2d(planes, planes, kernel_size=3, stride=stride,
padding=1, bias=False)
self.bn2 = nn.BatchNorm2d(planes, momentum=BN_MOMENTUM)
self.conv3 = nn.Conv2d(planes, planes * self.expansion, kernel_size=1,
bias=False)
self.bn3 = nn.BatchNorm2d(planes * self.expansion,
momentum=BN_MOMENTUM)
self.relu = nn.ReLU(inplace=False)
self.downsample = downsample
self.stride = stride
def forward(self, x):
residual = x
out = self.conv1(x)
out = self.bn1(out)
out = self.relu(out)
out = self.conv2(out)
out = self.bn2(out)
out = self.relu(out)
out = self.conv3(out)
out = self.bn3(out)
if self.downsample is not None:
residual = self.downsample(x)
out = out + residual
out = self.relu(out)
return out
class OCRModule(nn.Module):
def __init__(self, in_channels=512, mid_channels=256):
super(OCRModule, self).__init__()
self.in_channels = in_channels
self.mid_channels = mid_channels
self.spatial_softmax = nn.Softmax(dim=2)
self.fi = nn.Sequential(
nn.Conv2d(in_channels, mid_channels, kernel_size=1, stride=1, padding=0, bias=False),
nn.BatchNorm2d(mid_channels),
nn.ReLU()
)
self.theta = nn.Sequential(
nn.Conv2d(in_channels, mid_channels, kernel_size=1, stride=1, padding=0, bias=False),
nn.BatchNorm2d(mid_channels),
nn.ReLU()
)
self.gama = nn.Sequential(
nn.Conv2d(in_channels, mid_channels, kernel_size=1, stride=1, padding=0, bias=False),
nn.BatchNorm2d(mid_channels),
nn.ReLU()
)
self.p = nn.Sequential(
nn.Conv2d(mid_channels, in_channels, kernel_size=1, stride=1, padding=0, bias=False),
nn.BatchNorm2d(in_channels),
nn.ReLU()
)
def forward(self, fea, pre):
n,k,h,w = pre.size()
_,c,_,_ = fea.size()
pre = pre.view(n,k,h*w)
M = self.spatial_softmax(pre) #.view(n,k,h,w)
fea_t = fea.view(n,c,h*w)
M = M.permute(0, 2, 1)
f = torch.matmul(fea_t, M) #n,c,k
fea_fi = self.fi(fea).view(n,-1,h*w).permute(0, 2, 1) #h*w,c/2
f_t = self.theta(f.view(n,c,k,-1)).view(n,-1,k) #n,c/2,k
W = torch.matmul(fea_fi, f_t)
W = F.softmax(W, dim=-1) #h*w,k
W = W.permute(0, 2, 1).contiguous() #k,h*w
f_g = self.gama(f.view(n,c,k,-1)).view(n,-1,k) #n,c/2,k
# print(f_g.size())
# print(w.size())
x0 = torch.matmul(f_g, W)#.view(n,c//2,h,w) #n,c/2,h*w
# print(x0.size())
# print(h,w)
x0 = x0.view(n,self.mid_channels,h,w)
x0 = self.p(x0)
return x0
class HighResolutionModule(nn.Module):
def __init__(self, num_branches, blocks, num_blocks, num_inchannels,
num_channels, fuse_method, multi_scale_output=True):
super(HighResolutionModule, self).__init__()
self._check_branches(
num_branches, blocks, num_blocks, num_inchannels, num_channels)
self.num_inchannels = num_inchannels
self.fuse_method = fuse_method
self.num_branches = num_branches
self.multi_scale_output = multi_scale_output
self.branches = self._make_branches(
num_branches, blocks, num_blocks, num_channels)
self.fuse_layers = self._make_fuse_layers()
self.relu = nn.ReLU(inplace=False)
def _check_branches(self, num_branches, blocks, num_blocks,
num_inchannels, num_channels):
if num_branches != len(num_blocks):
error_msg = 'NUM_BRANCHES({}) <> NUM_BLOCKS({})'.format(
num_branches, len(num_blocks))
logger.error(error_msg)
raise ValueError(error_msg)
if num_branches != len(num_channels):
error_msg = 'NUM_BRANCHES({}) <> NUM_CHANNELS({})'.format(
num_branches, len(num_channels))
logger.error(error_msg)
raise ValueError(error_msg)
if num_branches != len(num_inchannels):
error_msg = 'NUM_BRANCHES({}) <> NUM_INCHANNELS({})'.format(
num_branches, len(num_inchannels))
logger.error(error_msg)
raise ValueError(error_msg)
def _make_one_branch(self, branch_index, block, num_blocks, num_channels,
stride=1):
downsample = None
if stride != 1 or \
self.num_inchannels[branch_index] != num_channels[branch_index] * block.expansion:
downsample = nn.Sequential(
nn.Conv2d(self.num_inchannels[branch_index],
num_channels[branch_index] * block.expansion,
kernel_size=1, stride=stride, bias=False),
nn.BatchNorm2d(num_channels[branch_index] * block.expansion,
momentum=BN_MOMENTUM),
)
layers = []
layers.append(block(self.num_inchannels[branch_index],
num_channels[branch_index], stride, downsample))
self.num_inchannels[branch_index] = \
num_channels[branch_index] * block.expansion
for i in range(1, num_blocks[branch_index]):
layers.append(block(self.num_inchannels[branch_index],
num_channels[branch_index]))
return nn.Sequential(*layers)
def _make_branches(self, num_branches, block, num_blocks, num_channels):
branches = []
for i in range(num_branches):
branches.append(
self._make_one_branch(i, block, num_blocks, num_channels))
return nn.ModuleList(branches)
def _make_fuse_layers(self):
if self.num_branches == 1:
return None
num_branches = self.num_branches
num_inchannels = self.num_inchannels
fuse_layers = []
for i in range(num_branches if self.multi_scale_output else 1):
fuse_layer = []
for j in range(num_branches):
if j > i:
fuse_layer.append(nn.Sequential(
nn.Conv2d(num_inchannels[j],
num_inchannels[i],
1,
1,
0,
bias=False),
nn.BatchNorm2d(num_inchannels[i], momentum=BN_MOMENTUM)))
elif j == i:
fuse_layer.append(None)
else:
conv3x3s = []
for k in range(i-j):
if k == i - j - 1:
num_outchannels_conv3x3 = num_inchannels[i]
conv3x3s.append(nn.Sequential(
nn.Conv2d(num_inchannels[j],
num_outchannels_conv3x3,
3, 2, 1, bias=False),
nn.BatchNorm2d(num_outchannels_conv3x3,
momentum=BN_MOMENTUM)))
else:
num_outchannels_conv3x3 = num_inchannels[j]
conv3x3s.append(nn.Sequential(
nn.Conv2d(num_inchannels[j],
num_outchannels_conv3x3,
3, 2, 1, bias=False),
nn.BatchNorm2d(num_outchannels_conv3x3,
momentum=BN_MOMENTUM),
nn.ReLU(inplace=False)))
fuse_layer.append(nn.Sequential(*conv3x3s))
fuse_layers.append(nn.ModuleList(fuse_layer))
return nn.ModuleList(fuse_layers)
def get_num_inchannels(self):
return self.num_inchannels
def forward(self, x):
if self.num_branches == 1:
return [self.branches[0](x[0])]
for i in range(self.num_branches):
x[i] = self.branches[i](x[i])
x_fuse = []
for i in range(len(self.fuse_layers)):
y = x[0] if i == 0 else self.fuse_layers[i][0](x[0])
for j in range(1, self.num_branches):
if i == j:
y = y + x[j]
elif j > i:
width_output = x[i].shape[-1]
height_output = x[i].shape[-2]
y = y + F.interpolate(
self.fuse_layers[i][j](x[j]),
size=[height_output, width_output],
mode='bilinear', align_corners=True)
else:
y = y + self.fuse_layers[i][j](x[j])
x_fuse.append(self.relu(y))
return x_fuse
blocks_dict = {
'BASIC': BasicBlock,
'BASICIBN': BasicBlockIBN,
'BOTTLENECK': Bottleneck,
'BOTTLENECKIBN': BottleneckIBN
}
class HighResolutionNet(nn.Module):
def __init__(self, num_classes=2, hr_cfg='w48', ibn=False):
# extra = config.MODEL.EXTRA
super(HighResolutionNet, self).__init__()
# stem net
self.conv1 = nn.Conv2d(3, 64, kernel_size=3, stride=2, padding=1,
bias=False)
self.bn1 = nn.BatchNorm2d(64, momentum=BN_MOMENTUM)
self.conv2 = nn.Conv2d(64, 64, kernel_size=3, stride=2, padding=1,
bias=False)
self.bn2 = nn.BatchNorm2d(64, momentum=BN_MOMENTUM)
self.relu = nn.ReLU(inplace=False)
if hr_cfg=='w64':
hrnet_cfg = hrnet_w64_cfg
if hr_cfg=='w48':
hrnet_cfg = hrnet_w48_cfg
if hr_cfg=='w40':
hrnet_cfg = hrnet_w40_cfg
if hr_cfg=='w30':
hrnet_cfg = hrnet_w30_cfg
if hr_cfg=='w18':
hrnet_cfg = hrnet_w18_cfg
if hr_cfg=='w18_v1':
hrnet_cfg = hrnet_w18_v1_cfg
if hr_cfg=='w18_v2':
hrnet_cfg = hrnet_w18_v2_cfg
self.stage1_cfg = hrnet_cfg['stage1']
num_channels = self.stage1_cfg['NUM_CHANNELS'][0]
block = blocks_dict[self.stage1_cfg['BLOCK']]
if ibn:
block = blocks_dict['BOTTLENECKIBN']
num_blocks = self.stage1_cfg['NUM_BLOCKS'][0]
self.layer1 = self._make_layer(block, 64, num_channels, num_blocks)
stage1_out_channel = block.expansion*num_channels
self.stage2_cfg = hrnet_cfg['stage2']
num_channels = self.stage2_cfg['NUM_CHANNELS']
block = blocks_dict[self.stage2_cfg['BLOCK']]
if ibn:
block = blocks_dict['BASICIBN']
num_channels = [
num_channels[i] * block.expansion for i in range(len(num_channels))]
self.transition1 = self._make_transition_layer(
[stage1_out_channel], num_channels)
self.stage2, pre_stage_channels = self._make_stage(
self.stage2_cfg, num_channels)
self.stage3_cfg = hrnet_cfg['stage3']
num_channels = self.stage3_cfg['NUM_CHANNELS']
block = blocks_dict[self.stage3_cfg['BLOCK']]
if ibn:
block = blocks_dict['BASICIBN']
num_channels = [
num_channels[i] * block.expansion for i in range(len(num_channels))]
self.transition2 = self._make_transition_layer(
pre_stage_channels, num_channels)
self.stage3, pre_stage_channels = self._make_stage(
self.stage3_cfg, num_channels)
self.stage4_cfg = hrnet_cfg['stage4']
num_channels = self.stage4_cfg['NUM_CHANNELS']
block = blocks_dict[self.stage4_cfg['BLOCK']]
num_channels = [
num_channels[i] * block.expansion for i in range(len(num_channels))]
self.transition3 = self._make_transition_layer(
pre_stage_channels, num_channels)
self.stage4, pre_stage_channels = self._make_stage(
self.stage4_cfg, num_channels, multi_scale_output=True)
last_inp_channels = np.int(np.sum(pre_stage_channels))
self.last_layer = nn.Sequential(
nn.Conv2d(
in_channels=last_inp_channels,
out_channels=last_inp_channels,
kernel_size=1,
stride=1,
padding=0),
nn.BatchNorm2d(last_inp_channels, momentum=BN_MOMENTUM),
nn.ReLU(inplace=False),
nn.Conv2d(
in_channels=last_inp_channels,
out_channels=num_classes,
kernel_size=1,
stride=1,
padding=1 if 1 == 3 else 0)
)
def _make_transition_layer(
self, num_channels_pre_layer, num_channels_cur_layer):
num_branches_cur = len(num_channels_cur_layer)
num_branches_pre = len(num_channels_pre_layer)
transition_layers = []
for i in range(num_branches_cur):
if i < num_branches_pre:
if num_channels_cur_layer[i] != num_channels_pre_layer[i]:
transition_layers.append(nn.Sequential(
nn.Conv2d(num_channels_pre_layer[i],
num_channels_cur_layer[i],
3,
1,
1,
bias=False),
nn.BatchNorm2d(
num_channels_cur_layer[i], momentum=BN_MOMENTUM),
nn.ReLU(inplace=False)))
else:
transition_layers.append(None)
else:
conv3x3s = []
for j in range(i+1-num_branches_pre):
inchannels = num_channels_pre_layer[-1]
outchannels = num_channels_cur_layer[i] \
if j == i-num_branches_pre else inchannels
conv3x3s.append(nn.Sequential(
nn.Conv2d(
inchannels, outchannels, 3, 2, 1, bias=False),
nn.BatchNorm2d(outchannels, momentum=BN_MOMENTUM),
nn.ReLU(inplace=False)))
transition_layers.append(nn.Sequential(*conv3x3s))
return nn.ModuleList(transition_layers)
def _make_layer(self, block, inplanes, planes, blocks, stride=1):
downsample = None
if stride != 1 or inplanes != planes * block.expansion:
downsample = nn.Sequential(
nn.Conv2d(inplanes, planes * block.expansion,
kernel_size=1, stride=stride, bias=False),
nn.BatchNorm2d(planes * block.expansion, momentum=BN_MOMENTUM),
)
layers = []
layers.append(block(inplanes, planes, stride, downsample))
inplanes = planes * block.expansion
for i in range(1, blocks):
layers.append(block(inplanes, planes))
return nn.Sequential(*layers)
def _make_stage(self, layer_config, num_inchannels,
multi_scale_output=True):
num_modules = layer_config['NUM_MODULES']
num_branches = layer_config['NUM_BRANCHES']
num_blocks = layer_config['NUM_BLOCKS']
num_channels = layer_config['NUM_CHANNELS']
block = blocks_dict[layer_config['BLOCK']]
fuse_method = layer_config['FUSE_METHOD']
modules = []
for i in range(num_modules):
# multi_scale_output is only used last module
if not multi_scale_output and i == num_modules - 1:
reset_multi_scale_output = False
else:
reset_multi_scale_output = True
modules.append(
HighResolutionModule(num_branches,
block,
num_blocks,
num_inchannels,
num_channels,
fuse_method,
reset_multi_scale_output)
)
num_inchannels = modules[-1].get_num_inchannels()
return nn.Sequential(*modules), num_inchannels
def forward(self, x):
x = self.conv1(x)
x = self.bn1(x)
x = self.relu(x)
x = self.conv2(x)
x = self.bn2(x)
x = self.relu(x)
x = self.layer1(x)
x_list = []
for i in range(self.stage2_cfg['NUM_BRANCHES']):
if self.transition1[i] is not None:
x_list.append(self.transition1[i](x))
else:
x_list.append(x)
y_list = self.stage2(x_list)
x_list = []
for i in range(self.stage3_cfg['NUM_BRANCHES']):
if self.transition2[i] is not None:
if i < self.stage2_cfg['NUM_BRANCHES']:
x_list.append(self.transition2[i](y_list[i]))
else:
x_list.append(self.transition2[i](y_list[-1]))
else:
x_list.append(y_list[i])
y_list = self.stage3(x_list)
x_list = []
for i in range(self.stage4_cfg['NUM_BRANCHES']):
if self.transition3[i] is not None:
if i < self.stage3_cfg['NUM_BRANCHES']:
x_list.append(self.transition3[i](y_list[i]))
else:
x_list.append(self.transition3[i](y_list[-1]))
else:
x_list.append(y_list[i])
x = self.stage4(x_list)
# Upsampling
x0_h, x0_w = x[0].size(2), x[0].size(3)
x0 = F.interpolate(x[0], size=(x0_h, x0_w), mode='bilinear', align_corners=True)
x1 = F.interpolate(x[1], size=(x0_h, x0_w), mode='bilinear', align_corners=True)
x2 = F.interpolate(x[2], size=(x0_h, x0_w), mode='bilinear', align_corners=True)
x3 = F.interpolate(x[3], size=(x0_h, x0_w), mode='bilinear', align_corners=True)
x = torch.cat([x[0], x1, x2, x3], 1)
x = self.last_layer(x)
return x, torch.cat([x0, x1, x2, x3], 1)
def init_weights(self, pretrained='', w_type="imagenet"):
# logger.info('=> init weights from normal distribution')
for m in self.modules():
if isinstance(m, nn.Conv2d):
nn.init.normal_(m.weight, std=0.001)
elif isinstance(m, nn.BatchNorm2d):
nn.init.constant_(m.weight, 1)
nn.init.constant_(m.bias, 0)
# for m in self.modules():
# if isinstance(m, nn.BatchNorm2d):
# m.requires_grad = False
if os.path.isfile(pretrained):
# pre_weight = torch.load(pretrained, map_location={'cuda:0': 'cpu'})
if w_type == "imagenet":
pre_weight = torch.load(pretrained)
else:
pre_weight = torch.load(pretrained)['model_state']
# logger.info('=> loading pretrained model {}'.format(pretrained))
model_dict = self.state_dict()
pretrained_dict = {}
old_conv1_weight = pre_weight['conv1.weight']
channel = model_dict['conv1.weight'].size()[1]
for i in range(0, channel):
model_dict['conv1.weight'][:,i,:,:] = old_conv1_weight[:,i%3,:,:]
for k, v in pre_weight.items():
if k in model_dict.keys() and k!= 'conv1.weight':
# print(k)
pretrained_dict[k] = v
# for k, _ in pretrained_dict.items():
# print('=> loading {} pretrained model {}'.format(k, pretrained))
# logger.info(
# '=> loading {} pretrained model {}'.format(k, pretrained))
model_dict.update(pretrained_dict)
self.load_state_dict(model_dict)
class HRNet_OCR(nn.Module):
def __init__(self, num_classes=2, hr_cfg='w48'):
# extra = config.MODEL.EXTRA
super(HRNet_OCR, self).__init__()
# stem net
self.conv1 = nn.Conv2d(3, 64, kernel_size=3, stride=2, padding=1,
bias=False)
self.bn1 = nn.BatchNorm2d(64, momentum=BN_MOMENTUM)
self.conv2 = nn.Conv2d(64, 64, kernel_size=3, stride=2, padding=1,
bias=False)
self.bn2 = nn.BatchNorm2d(64, momentum=BN_MOMENTUM)
self.relu = nn.ReLU(inplace=False)
if hr_cfg=='w48':
hrnet_cfg = hrnet_w48_cfg
if hr_cfg=='w30':
hrnet_cfg = hrnet_w30_cfg
if hr_cfg=='w18':
hrnet_cfg = hrnet_w18_cfg
self.stage1_cfg = hrnet_cfg['stage1']
num_channels = self.stage1_cfg['NUM_CHANNELS'][0]
block = blocks_dict[self.stage1_cfg['BLOCK']]
num_blocks = self.stage1_cfg['NUM_BLOCKS'][0]
self.layer1 = self._make_layer(block, 64, num_channels, num_blocks)
stage1_out_channel = block.expansion*num_channels
self.stage2_cfg = hrnet_cfg['stage2']
num_channels = self.stage2_cfg['NUM_CHANNELS']
block = blocks_dict[self.stage2_cfg['BLOCK']]
num_channels = [
num_channels[i] * block.expansion for i in range(len(num_channels))]
self.transition1 = self._make_transition_layer(
[stage1_out_channel], num_channels)
self.stage2, pre_stage_channels = self._make_stage(
self.stage2_cfg, num_channels)
self.stage3_cfg = hrnet_cfg['stage3']
num_channels = self.stage3_cfg['NUM_CHANNELS']
block = blocks_dict[self.stage3_cfg['BLOCK']]
num_channels = [
num_channels[i] * block.expansion for i in range(len(num_channels))]
self.transition2 = self._make_transition_layer(
pre_stage_channels, num_channels)
self.stage3, pre_stage_channels = self._make_stage(
self.stage3_cfg, num_channels)
self.stage4_cfg = hrnet_cfg['stage4']
num_channels = self.stage4_cfg['NUM_CHANNELS']
block = blocks_dict[self.stage4_cfg['BLOCK']]
num_channels = [
num_channels[i] * block.expansion for i in range(len(num_channels))]
self.transition3 = self._make_transition_layer(
pre_stage_channels, num_channels)
self.stage4, pre_stage_channels = self._make_stage(
self.stage4_cfg, num_channels, multi_scale_output=True)
last_inp_channels = np.int(np.sum(pre_stage_channels))
self.last_layer = nn.Sequential(
nn.Conv2d(
in_channels=last_inp_channels,
out_channels=last_inp_channels,
kernel_size=1,
stride=1,
padding=0),
nn.BatchNorm2d(last_inp_channels, momentum=BN_MOMENTUM),
nn.ReLU(inplace=False),
nn.Conv2d(
in_channels=last_inp_channels ,
out_channels=num_classes,
kernel_size=1,
stride=1,
padding=1 if 1 == 3 else 0)
)
# for p in self.parameters():
# p.requires_grad = False
self.ocr = OCRModule(in_channels=last_inp_channels, mid_channels=256)
self.last_layer_new = nn.Sequential(
nn.Conv2d(
in_channels=last_inp_channels * 2,
out_channels=last_inp_channels,
kernel_size=1,
stride=1,
padding=0),
nn.BatchNorm2d(last_inp_channels, momentum=BN_MOMENTUM),
nn.ReLU(inplace=False),
nn.Conv2d(
in_channels=last_inp_channels ,
out_channels=num_classes,
kernel_size=1,
stride=1,
padding=1 if 1 == 3 else 0)
)
def _make_transition_layer(
self, num_channels_pre_layer, num_channels_cur_layer):
num_branches_cur = len(num_channels_cur_layer)
num_branches_pre = len(num_channels_pre_layer)
transition_layers = []
for i in range(num_branches_cur):
if i < num_branches_pre:
if num_channels_cur_layer[i] != num_channels_pre_layer[i]:
transition_layers.append(nn.Sequential(
nn.Conv2d(num_channels_pre_layer[i],
num_channels_cur_layer[i],
3,
1,
1,
bias=False),
nn.BatchNorm2d(
num_channels_cur_layer[i], momentum=BN_MOMENTUM),
nn.ReLU(inplace=False)))
else:
transition_layers.append(None)
else:
conv3x3s = []
for j in range(i+1-num_branches_pre):
inchannels = num_channels_pre_layer[-1]
outchannels = num_channels_cur_layer[i] \
if j == i-num_branches_pre else inchannels
conv3x3s.append(nn.Sequential(
nn.Conv2d(
inchannels, outchannels, 3, 2, 1, bias=False),
nn.BatchNorm2d(outchannels, momentum=BN_MOMENTUM),
nn.ReLU(inplace=False)))
transition_layers.append(nn.Sequential(*conv3x3s))
return nn.ModuleList(transition_layers)
def _make_layer(self, block, inplanes, planes, blocks, stride=1):
downsample = None
if stride != 1 or inplanes != planes * block.expansion:
downsample = nn.Sequential(
nn.Conv2d(inplanes, planes * block.expansion,
kernel_size=1, stride=stride, bias=False),
nn.BatchNorm2d(planes * block.expansion, momentum=BN_MOMENTUM),
)
layers = []
layers.append(block(inplanes, planes, stride, downsample))
inplanes = planes * block.expansion
for i in range(1, blocks):
layers.append(block(inplanes, planes))
return nn.Sequential(*layers)
def _make_stage(self, layer_config, num_inchannels,
multi_scale_output=True):
num_modules = layer_config['NUM_MODULES']
num_branches = layer_config['NUM_BRANCHES']
num_blocks = layer_config['NUM_BLOCKS']
num_channels = layer_config['NUM_CHANNELS']
block = blocks_dict[layer_config['BLOCK']]
fuse_method = layer_config['FUSE_METHOD']
modules = []
for i in range(num_modules):
# multi_scale_output is only used last module
if not multi_scale_output and i == num_modules - 1:
reset_multi_scale_output = False
else:
reset_multi_scale_output = True
modules.append(
HighResolutionModule(num_branches,
block,
num_blocks,
num_inchannels,
num_channels,
fuse_method,
reset_multi_scale_output)
)
num_inchannels = modules[-1].get_num_inchannels()
return nn.Sequential(*modules), num_inchannels
def forward(self, x):
x = self.conv1(x)
x = self.bn1(x)
x = self.relu(x)
x = self.conv2(x)
x = self.bn2(x)
x = self.relu(x)
x = self.layer1(x)
x_list = []
for i in range(self.stage2_cfg['NUM_BRANCHES']):
if self.transition1[i] is not None:
x_list.append(self.transition1[i](x))
else:
x_list.append(x)
y_list = self.stage2(x_list)
x_list = []
for i in range(self.stage3_cfg['NUM_BRANCHES']):
if self.transition2[i] is not None:
if i < self.stage2_cfg['NUM_BRANCHES']:
x_list.append(self.transition2[i](y_list[i]))
else:
x_list.append(self.transition2[i](y_list[-1]))
else:
x_list.append(y_list[i])
y_list = self.stage3(x_list)
x_list = []
for i in range(self.stage4_cfg['NUM_BRANCHES']):
if self.transition3[i] is not None:
if i < self.stage3_cfg['NUM_BRANCHES']:
x_list.append(self.transition3[i](y_list[i]))
else:
x_list.append(self.transition3[i](y_list[-1]))
else:
x_list.append(y_list[i])
x = self.stage4(x_list)
# Upsampling
x0_h, x0_w = x[0].size(2), x[0].size(3)
x1 = F.interpolate(x[1], size=(x0_h, x0_w), mode='bilinear', align_corners=True)
x2 = F.interpolate(x[2], size=(x0_h, x0_w), mode='bilinear', align_corners=True)
x3 = F.interpolate(x[3], size=(x0_h, x0_w), mode='bilinear', align_corners=True)
x = torch.cat([x[0], x1, x2, x3], 1)
# x = self.down(x)
dsn = self.last_layer(x)
x0 = self.ocr(x,dsn)
seg = self.last_layer_new(torch.cat([x,x0],dim=1))
return seg, dsn
def init_weights(self, pretrained='',):
# logger.info('=> init weights from normal distribution')
for m in self.modules():
if isinstance(m, nn.Conv2d):
nn.init.normal_(m.weight, std=0.001)
elif isinstance(m, nn.BatchNorm2d):
nn.init.constant_(m.weight, 1)
nn.init.constant_(m.bias, 0)
if os.path.isfile(pretrained):
pretrained_dict = torch.load(pretrained)
# logger.info('=> loading pretrained model {}'.format(pretrained))
model_dict = self.state_dict()
pretrained_dict = {k: v for k, v in pretrained_dict.items()
if k in model_dict.keys()}
# for k, _ in pretrained_dict.items():
# print('=> loading {} pretrained model {}'.format(k, pretrained))
# logger.info(
# '=> loading {} pretrained model {}'.format(k, pretrained))
model_dict.update(pretrained_dict)
self.load_state_dict(model_dict)
class HRNet_SE(nn.Module):
def __init__(self, num_classes=2, hr_cfg='w48'):
# extra = config.MODEL.EXTRA
super(HRNet_SE, self).__init__()
# stem net
self.conv1 = nn.Conv2d(3, 64, kernel_size=3, stride=2, padding=1,
bias=False)
self.bn1 = nn.BatchNorm2d(64, momentum=BN_MOMENTUM)
self.conv2 = nn.Conv2d(64, 64, kernel_size=3, stride=2, padding=1,
bias=False)
self.bn2 = nn.BatchNorm2d(64, momentum=BN_MOMENTUM)
self.relu = nn.ReLU(inplace=False)
if hr_cfg=='w48':
hrnet_cfg = hrnet_w48_cfg
if hr_cfg=='w30':
hrnet_cfg = hrnet_w30_cfg
if hr_cfg=='w18':
hrnet_cfg = hrnet_w18_cfg
self.stage1_cfg = hrnet_cfg['stage1']
num_channels = self.stage1_cfg['NUM_CHANNELS'][0]
block = blocks_dict[self.stage1_cfg['BLOCK']]
num_blocks = self.stage1_cfg['NUM_BLOCKS'][0]
self.layer1 = self._make_layer(block, 64, num_channels, num_blocks)
stage1_out_channel = block.expansion*num_channels
self.stage2_cfg = hrnet_cfg['stage2']
num_channels = self.stage2_cfg['NUM_CHANNELS']
block = blocks_dict[self.stage2_cfg['BLOCK']]
num_channels = [
num_channels[i] * block.expansion for i in range(len(num_channels))]
self.transition1 = self._make_transition_layer(
[stage1_out_channel], num_channels)
self.stage2, pre_stage_channels = self._make_stage(
self.stage2_cfg, num_channels)
self.stage3_cfg = hrnet_cfg['stage3']
num_channels = self.stage3_cfg['NUM_CHANNELS']
block = blocks_dict[self.stage3_cfg['BLOCK']]
num_channels = [
num_channels[i] * block.expansion for i in range(len(num_channels))]
self.transition2 = self._make_transition_layer(
pre_stage_channels, num_channels)
self.stage3, pre_stage_channels = self._make_stage(
self.stage3_cfg, num_channels)
self.stage4_cfg = hrnet_cfg['stage4']
num_channels = self.stage4_cfg['NUM_CHANNELS']
block = blocks_dict[self.stage4_cfg['BLOCK']]
num_channels = [
num_channels[i] * block.expansion for i in range(len(num_channels))]
self.transition3 = self._make_transition_layer(
pre_stage_channels, num_channels)
self.stage4, pre_stage_channels = self._make_stage(
self.stage4_cfg, num_channels, multi_scale_output=True)
last_inp_channels = np.int(np.sum(pre_stage_channels))
self.channel_gate = ChannelGate(last_inp_channels, reduction_ratio=16)
self.last_layer = nn.Sequential(
nn.Conv2d(
in_channels=last_inp_channels,
out_channels=last_inp_channels,
kernel_size=1,
stride=1,
padding=0),
nn.BatchNorm2d(last_inp_channels, momentum=BN_MOMENTUM),
nn.ReLU(inplace=False),
nn.Conv2d(
in_channels=last_inp_channels,
out_channels=num_classes,
kernel_size=1,
stride=1,
padding=1 if 1 == 3 else 0)
)
def _make_transition_layer(
self, num_channels_pre_layer, num_channels_cur_layer):
num_branches_cur = len(num_channels_cur_layer)
num_branches_pre = len(num_channels_pre_layer)
transition_layers = []
for i in range(num_branches_cur):
if i < num_branches_pre:
if num_channels_cur_layer[i] != num_channels_pre_layer[i]:
transition_layers.append(nn.Sequential(
nn.Conv2d(num_channels_pre_layer[i],
num_channels_cur_layer[i],
3,
1,
1,
bias=False),
nn.BatchNorm2d(
num_channels_cur_layer[i], momentum=BN_MOMENTUM),
nn.ReLU(inplace=False)))
else:
transition_layers.append(None)
else:
conv3x3s = []
for j in range(i+1-num_branches_pre):
inchannels = num_channels_pre_layer[-1]
outchannels = num_channels_cur_layer[i] \
if j == i-num_branches_pre else inchannels
conv3x3s.append(nn.Sequential(
nn.Conv2d(
inchannels, outchannels, 3, 2, 1, bias=False),
nn.BatchNorm2d(outchannels, momentum=BN_MOMENTUM),
nn.ReLU(inplace=False)))
transition_layers.append(nn.Sequential(*conv3x3s))
return nn.ModuleList(transition_layers)
def _make_layer(self, block, inplanes, planes, blocks, stride=1):
downsample = None
if stride != 1 or inplanes != planes * block.expansion:
downsample = nn.Sequential(
nn.Conv2d(inplanes, planes * block.expansion,
kernel_size=1, stride=stride, bias=False),
nn.BatchNorm2d(planes * block.expansion, momentum=BN_MOMENTUM),
)
layers = []
layers.append(block(inplanes, planes, stride, downsample))
inplanes = planes * block.expansion
for i in range(1, blocks):
layers.append(block(inplanes, planes))
return nn.Sequential(*layers)
def _make_stage(self, layer_config, num_inchannels,
multi_scale_output=True):
num_modules = layer_config['NUM_MODULES']
num_branches = layer_config['NUM_BRANCHES']
num_blocks = layer_config['NUM_BLOCKS']
num_channels = layer_config['NUM_CHANNELS']
block = blocks_dict[layer_config['BLOCK']]
fuse_method = layer_config['FUSE_METHOD']
modules = []
for i in range(num_modules):
# multi_scale_output is only used last module
if not multi_scale_output and i == num_modules - 1:
reset_multi_scale_output = False
else:
reset_multi_scale_output = True
modules.append(
HighResolutionModule(num_branches,
block,
num_blocks,
num_inchannels,
num_channels,
fuse_method,
reset_multi_scale_output)
)
num_inchannels = modules[-1].get_num_inchannels()
return nn.Sequential(*modules), num_inchannels
def forward(self, x):
x = self.conv1(x)
x = self.bn1(x)
x = self.relu(x)
x = self.conv2(x)
x = self.bn2(x)
x = self.relu(x)
x = self.layer1(x)
x_list = []
for i in range(self.stage2_cfg['NUM_BRANCHES']):
if self.transition1[i] is not None:
x_list.append(self.transition1[i](x))
else:
x_list.append(x)
y_list = self.stage2(x_list)
x_list = []
for i in range(self.stage3_cfg['NUM_BRANCHES']):
if self.transition2[i] is not None:
if i < self.stage2_cfg['NUM_BRANCHES']:
x_list.append(self.transition2[i](y_list[i]))
else:
x_list.append(self.transition2[i](y_list[-1]))
else:
x_list.append(y_list[i])
y_list = self.stage3(x_list)
x_list = []
for i in range(self.stage4_cfg['NUM_BRANCHES']):
if self.transition3[i] is not None:
if i < self.stage3_cfg['NUM_BRANCHES']:
x_list.append(self.transition3[i](y_list[i]))
else:
x_list.append(self.transition3[i](y_list[-1]))
else:
x_list.append(y_list[i])
x = self.stage4(x_list)
# Upsampling
x0_h, x0_w = x[0].size(2), x[0].size(3)
x0 = F.interpolate(x[0], size=(x0_h, x0_w), mode='bilinear', align_corners=True)
x1 = F.interpolate(x[1], size=(x0_h, x0_w), mode='bilinear', align_corners=True)
x2 = F.interpolate(x[2], size=(x0_h, x0_w), mode='bilinear', align_corners=True)
x3 = F.interpolate(x[3], size=(x0_h, x0_w), mode='bilinear', align_corners=True)
x = torch.cat([x[0], x1, x2, x3], 1)
x = self.channel_gate(x)
x = self.last_layer(x)
return x, torch.cat([x0, x1, x2, x3], 1)
def init_weights(self, pretrained='',):
# logger.info('=> init weights from normal distribution')
for m in self.modules():
if isinstance(m, nn.Conv2d):
nn.init.normal_(m.weight, std=0.001)
elif isinstance(m, nn.BatchNorm2d):
nn.init.constant_(m.weight, 1)
nn.init.constant_(m.bias, 0)
if os.path.isfile(pretrained):
pretrained_dict = torch.load(pretrained)
# logger.info('=> loading pretrained model {}'.format(pretrained))
model_dict = self.state_dict()
pretrained_dict = {k: v for k, v in pretrained_dict.items()
if k in model_dict.keys()}
# for k, _ in pretrained_dict.items():
# print('=> loading {} pretrained model {}'.format(k, pretrained))
# logger.info(
# '=> loading {} pretrained model {}'.format(k, pretrained))
model_dict.update(pretrained_dict)
self.load_state_dict(model_dict)
class HRNet_road_mapper(nn.Module):
def __init__(self, hr_cfg='w18', ibn=False):
# extra = config.MODEL.EXTRA
super(HRNet_road_mapper, self).__init__()
# stem net
self.conv1 = nn.Conv2d(3, 64, kernel_size=3, stride=2, padding=1,
bias=False)
self.bn1 = nn.BatchNorm2d(64, momentum=BN_MOMENTUM)
self.conv2 = nn.Conv2d(64, 64, kernel_size=3, stride=2, padding=1,
bias=False)
self.bn2 = nn.BatchNorm2d(64, momentum=BN_MOMENTUM)
self.relu = nn.ReLU(inplace=False)
if hr_cfg=='w48':
hrnet_cfg = hrnet_w48_cfg
if hr_cfg=='w30':
hrnet_cfg = hrnet_w30_cfg
if hr_cfg=='w18':
hrnet_cfg = hrnet_w18_cfg
self.stage1_cfg = hrnet_cfg['stage1']
num_channels = self.stage1_cfg['NUM_CHANNELS'][0]
block = blocks_dict[self.stage1_cfg['BLOCK']]
if ibn:
block = blocks_dict['BOTTLENECKIBN']
num_blocks = self.stage1_cfg['NUM_BLOCKS'][0]
self.layer1 = self._make_layer(block, 64, num_channels, num_blocks)
stage1_out_channel = block.expansion*num_channels
self.stage2_cfg = hrnet_cfg['stage2']
num_channels = self.stage2_cfg['NUM_CHANNELS']
block = blocks_dict[self.stage2_cfg['BLOCK']]
if ibn:
block = blocks_dict['BASICIBN']
num_channels = [
num_channels[i] * block.expansion for i in range(len(num_channels))]
self.transition1 = self._make_transition_layer(
[stage1_out_channel], num_channels)
self.stage2, pre_stage_channels = self._make_stage(
self.stage2_cfg, num_channels)
self.stage3_cfg = hrnet_cfg['stage3']
num_channels = self.stage3_cfg['NUM_CHANNELS']
block = blocks_dict[self.stage3_cfg['BLOCK']]
if ibn:
block = blocks_dict['BASICIBN']
num_channels = [
num_channels[i] * block.expansion for i in range(len(num_channels))]
self.transition2 = self._make_transition_layer(
pre_stage_channels, num_channels)
self.stage3, pre_stage_channels = self._make_stage(
self.stage3_cfg, num_channels)
self.stage4_cfg = hrnet_cfg['stage4']
num_channels = self.stage4_cfg['NUM_CHANNELS']
block = blocks_dict[self.stage4_cfg['BLOCK']]
num_channels = [
num_channels[i] * block.expansion for i in range(len(num_channels))]
self.transition3 = self._make_transition_layer(
pre_stage_channels, num_channels)
self.stage4, pre_stage_channels = self._make_stage(
self.stage4_cfg, num_channels, multi_scale_output=True)
last_inp_channels = np.int(np.sum(pre_stage_channels))
self.last_inp_channels = 32
self.finalconv1 = nn.Sequential(
nn.Conv2d(
in_channels=last_inp_channels,
out_channels=self.last_inp_channels,
kernel_size=3,
stride=1,
padding=1),
nn.BatchNorm2d(self.last_inp_channels, momentum=BN_MOMENTUM),
nn.ReLU(inplace=False)
)
self.pre_point = nn.Conv2d(
in_channels=self.last_inp_channels,
out_channels=1,
kernel_size=3,
stride=1,
padding=1)
self.pre_line = nn.Conv2d(
in_channels=self.last_inp_channels,
out_channels=1,
kernel_size=3,
stride=1,
padding=1)
def _make_transition_layer(
self, num_channels_pre_layer, num_channels_cur_layer):
num_branches_cur = len(num_channels_cur_layer)
num_branches_pre = len(num_channels_pre_layer)
transition_layers = []
for i in range(num_branches_cur):
if i < num_branches_pre:
if num_channels_cur_layer[i] != num_channels_pre_layer[i]:
transition_layers.append(nn.Sequential(
nn.Conv2d(num_channels_pre_layer[i],
num_channels_cur_layer[i],
3,
1,
1,
bias=False),
nn.BatchNorm2d(
num_channels_cur_layer[i], momentum=BN_MOMENTUM),
nn.ReLU(inplace=False)))
else:
transition_layers.append(None)
else:
conv3x3s = []
for j in range(i+1-num_branches_pre):
inchannels = num_channels_pre_layer[-1]
outchannels = num_channels_cur_layer[i] \
if j == i-num_branches_pre else inchannels
conv3x3s.append(nn.Sequential(
nn.Conv2d(
inchannels, outchannels, 3, 2, 1, bias=False),
nn.BatchNorm2d(outchannels, momentum=BN_MOMENTUM),
nn.ReLU(inplace=False)))
transition_layers.append(nn.Sequential(*conv3x3s))
return nn.ModuleList(transition_layers)
def _make_layer(self, block, inplanes, planes, blocks, stride=1):
downsample = None
if stride != 1 or inplanes != planes * block.expansion:
downsample = nn.Sequential(
nn.Conv2d(inplanes, planes * block.expansion,
kernel_size=1, stride=stride, bias=False),
nn.BatchNorm2d(planes * block.expansion, momentum=BN_MOMENTUM),
)
layers = []
layers.append(block(inplanes, planes, stride, downsample))
inplanes = planes * block.expansion
for i in range(1, blocks):
layers.append(block(inplanes, planes))
return nn.Sequential(*layers)
def _make_stage(self, layer_config, num_inchannels,
multi_scale_output=True):
num_modules = layer_config['NUM_MODULES']
num_branches = layer_config['NUM_BRANCHES']
num_blocks = layer_config['NUM_BLOCKS']
num_channels = layer_config['NUM_CHANNELS']
block = blocks_dict[layer_config['BLOCK']]
fuse_method = layer_config['FUSE_METHOD']
modules = []
for i in range(num_modules):
# multi_scale_output is only used last module
if not multi_scale_output and i == num_modules - 1:
reset_multi_scale_output = False
else:
reset_multi_scale_output = True
modules.append(
HighResolutionModule(num_branches,
block,
num_blocks,
num_inchannels,
num_channels,
fuse_method,
reset_multi_scale_output)
)
num_inchannels = modules[-1].get_num_inchannels()
return nn.Sequential(*modules), num_inchannels
def forward(self, x):
x = self.conv1(x)
x = self.bn1(x)
x = self.relu(x)
x = self.conv2(x)
x = self.bn2(x)
x = self.relu(x)
x = self.layer1(x)
x_list = []
for i in range(self.stage2_cfg['NUM_BRANCHES']):
if self.transition1[i] is not None:
x_list.append(self.transition1[i](x))
else:
x_list.append(x)
y_list = self.stage2(x_list)
x_list = []
for i in range(self.stage3_cfg['NUM_BRANCHES']):
if self.transition2[i] is not None:
if i < self.stage2_cfg['NUM_BRANCHES']:
x_list.append(self.transition2[i](y_list[i]))
else:
x_list.append(self.transition2[i](y_list[-1]))
else:
x_list.append(y_list[i])
y_list = self.stage3(x_list)
x_list = []
for i in range(self.stage4_cfg['NUM_BRANCHES']):
if self.transition3[i] is not None:
if i < self.stage3_cfg['NUM_BRANCHES']:
x_list.append(self.transition3[i](y_list[i]))
else:
x_list.append(self.transition3[i](y_list[-1]))
else:
x_list.append(y_list[i])
# print(x[0].size())
x = self.stage4(x_list)
# Upsampling
x0_h, x0_w = x[0].size(2), x[0].size(3)
x0 = F.interpolate(x[0], size=(x0_h, x0_w), mode='bilinear', align_corners=True)
x1 = F.interpolate(x[1], size=(x0_h, x0_w), mode='bilinear', align_corners=True)
x2 = F.interpolate(x[2], size=(x0_h, x0_w), mode='bilinear', align_corners=True)
x3 = F.interpolate(x[3], size=(x0_h, x0_w), mode='bilinear', align_corners=True)
x = torch.cat([x[0], x1, x2, x3], 1)
feature = self.finalconv1(x)
point_map = self.pre_point(feature)
line_map = self.pre_line(feature)
return point_map, line_map , feature
def init_weights(self, pretrained='',):
# logger.info('=> init weights from normal distribution')
for m in self.modules():
if isinstance(m, nn.Conv2d):
nn.init.normal_(m.weight, std=0.001)
elif isinstance(m, nn.BatchNorm2d):
nn.init.constant_(m.weight, 1)
nn.init.constant_(m.bias, 0)
# for m in self.modules():
# if isinstance(m, nn.BatchNorm2d):
# m.requires_grad = False
if os.path.isfile(pretrained):
pre_weight = torch.load(pretrained)
# logger.info('=> loading pretrained model {}'.format(pretrained))
model_dict = self.state_dict()
pretrained_dict = {}
for k, v in pre_weight.items():
if k in model_dict.keys():
# print(k)
pretrained_dict[k] = v
# for k, _ in pretrained_dict.items():
# print('=> loading {} pretrained model {}'.format(k, pretrained))
# logger.info(
# '=> loading {} pretrained model {}'.format(k, pretrained))
model_dict.update(pretrained_dict)
self.load_state_dict(model_dict)
class HRNet_Backbone(nn.Module):
def __init__(self, hr_cfg='w48'):
# extra = config.MODEL.EXTRA
super(HRNet_Backbone, self).__init__()
# stem net
self.conv1 = nn.Conv2d(3, 64, kernel_size=3, stride=2, padding=1,
bias=False)
self.bn1 = nn.BatchNorm2d(64, momentum=BN_MOMENTUM)
self.conv2 = nn.Conv2d(64, 64, kernel_size=3, stride=2, padding=1,
bias=False)
self.bn2 = nn.BatchNorm2d(64, momentum=BN_MOMENTUM)
self.relu = nn.ReLU(inplace=False)
self.hr_cfg = hr_cfg
if hr_cfg=='w64':
hrnet_cfg = hrnet_w64_cfg
if hr_cfg=='w48':
hrnet_cfg = hrnet_w48_cfg
if hr_cfg=='w40':
hrnet_cfg = hrnet_w40_cfg
if hr_cfg=='w30':
hrnet_cfg = hrnet_w30_cfg
if hr_cfg=='w18':
hrnet_cfg = hrnet_w18_cfg
self.stage1_cfg = hrnet_cfg['stage1']
num_channels = self.stage1_cfg['NUM_CHANNELS'][0]
block = blocks_dict[self.stage1_cfg['BLOCK']]
num_blocks = self.stage1_cfg['NUM_BLOCKS'][0]
self.layer1 = self._make_layer(block, 64, num_channels, num_blocks)
stage1_out_channel = block.expansion*num_channels
self.stage2_cfg = hrnet_cfg['stage2']
num_channels = self.stage2_cfg['NUM_CHANNELS']
block = blocks_dict[self.stage2_cfg['BLOCK']]
num_channels = [
num_channels[i] * block.expansion for i in range(len(num_channels))]
self.transition1 = self._make_transition_layer(
[stage1_out_channel], num_channels)
self.stage2, pre_stage_channels = self._make_stage(
self.stage2_cfg, num_channels)
self.stage3_cfg = hrnet_cfg['stage3']
num_channels = self.stage3_cfg['NUM_CHANNELS']
block = blocks_dict[self.stage3_cfg['BLOCK']]
num_channels = [
num_channels[i] * block.expansion for i in range(len(num_channels))]
self.transition2 = self._make_transition_layer(
pre_stage_channels, num_channels)
self.stage3, pre_stage_channels = self._make_stage(
self.stage3_cfg, num_channels)
self.stage4_cfg = hrnet_cfg['stage4']
num_channels = self.stage4_cfg['NUM_CHANNELS']
block = blocks_dict[self.stage4_cfg['BLOCK']]
num_channels = [
num_channels[i] * block.expansion for i in range(len(num_channels))]
self.transition3 = self._make_transition_layer(
pre_stage_channels, num_channels)
self.stage4, pre_stage_channels = self._make_stage(
self.stage4_cfg, num_channels, multi_scale_output=True)
def _make_transition_layer(
self, num_channels_pre_layer, num_channels_cur_layer):
num_branches_cur = len(num_channels_cur_layer)
num_branches_pre = len(num_channels_pre_layer)
transition_layers = []
for i in range(num_branches_cur):
if i < num_branches_pre:
if num_channels_cur_layer[i] != num_channels_pre_layer[i]:
transition_layers.append(nn.Sequential(
nn.Conv2d(num_channels_pre_layer[i],
num_channels_cur_layer[i],
3,
1,
1,
bias=False),
nn.BatchNorm2d(
num_channels_cur_layer[i], momentum=BN_MOMENTUM),
nn.ReLU(inplace=False)))
else:
transition_layers.append(None)
else:
conv3x3s = []
for j in range(i+1-num_branches_pre):
inchannels = num_channels_pre_layer[-1]
outchannels = num_channels_cur_layer[i] \
if j == i-num_branches_pre else inchannels
conv3x3s.append(nn.Sequential(
nn.Conv2d(
inchannels, outchannels, 3, 2, 1, bias=False),
nn.BatchNorm2d(outchannels, momentum=BN_MOMENTUM),
nn.ReLU(inplace=False)))
transition_layers.append(nn.Sequential(*conv3x3s))
return nn.ModuleList(transition_layers)
def _make_layer(self, block, inplanes, planes, blocks, stride=1):
downsample = None
if stride != 1 or inplanes != planes * block.expansion:
downsample = nn.Sequential(
nn.Conv2d(inplanes, planes * block.expansion,
kernel_size=1, stride=stride, bias=False),
nn.BatchNorm2d(planes * block.expansion, momentum=BN_MOMENTUM),
)
layers = []
layers.append(block(inplanes, planes, stride, downsample))
inplanes = planes * block.expansion
for i in range(1, blocks):
layers.append(block(inplanes, planes))
return nn.Sequential(*layers)
def _make_stage(self, layer_config, num_inchannels,
multi_scale_output=True):
num_modules = layer_config['NUM_MODULES']
num_branches = layer_config['NUM_BRANCHES']
num_blocks = layer_config['NUM_BLOCKS']
num_channels = layer_config['NUM_CHANNELS']
block = blocks_dict[layer_config['BLOCK']]
fuse_method = layer_config['FUSE_METHOD']
modules = []
for i in range(num_modules):
# multi_scale_output is only used last module
if not multi_scale_output and i == num_modules - 1:
reset_multi_scale_output = False
else:
reset_multi_scale_output = True
modules.append(
HighResolutionModule(num_branches,
block,
num_blocks,
num_inchannels,
num_channels,
fuse_method,
reset_multi_scale_output)
)
num_inchannels = modules[-1].get_num_inchannels()
return nn.Sequential(*modules), num_inchannels
def forward(self, x):
x = self.conv1(x)
x = self.bn1(x)
x = self.relu(x)
x = self.conv2(x)
x = self.bn2(x)
x = self.relu(x)
x = self.layer1(x)
x_list = []
for i in range(self.stage2_cfg['NUM_BRANCHES']):
if self.transition1[i] is not None:
x_list.append(self.transition1[i](x))
else:
x_list.append(x)
y_list = self.stage2(x_list)
x_list = []
for i in range(self.stage3_cfg['NUM_BRANCHES']):
if self.transition2[i] is not None:
if i < self.stage2_cfg['NUM_BRANCHES']:
x_list.append(self.transition2[i](y_list[i]))
else:
x_list.append(self.transition2[i](y_list[-1]))
else:
x_list.append(y_list[i])
y_list = self.stage3(x_list)
x_list = []
for i in range(self.stage4_cfg['NUM_BRANCHES']):
if self.transition3[i] is not None:
if i < self.stage3_cfg['NUM_BRANCHES']:
x_list.append(self.transition3[i](y_list[i]))
else:
x_list.append(self.transition3[i](y_list[-1]))
else:
x_list.append(y_list[i])
x = self.stage4(x_list)
outputs = {}
# See note [TorchScript super()]
outputs['res2'] = x[0] # 1/4
outputs['res3'] = x[1] # 1/8
outputs['res4'] = x[2] # 1/16
outputs['res5'] = x[3] # 1/32
return outputs
def init_weights(self, pretrained='',):
# logger.info('=> init weights from normal distribution')
for m in self.modules():
if isinstance(m, nn.Conv2d):
nn.init.normal_(m.weight, std=0.001)
elif isinstance(m, nn.BatchNorm2d):
nn.init.constant_(m.weight, 1)
nn.init.constant_(m.bias, 0)
# for m in self.modules():
# if isinstance(m, nn.BatchNorm2d):
# m.requires_grad = False
if os.path.isfile(pretrained):
pre_weight = torch.load(pretrained, map_location={'cuda:0': 'cpu'})
# pre_weight = torch.load(pretrained)
# logger.info('=> loading pretrained model {}'.format(pretrained))
model_dict = self.state_dict()
pretrained_dict = {}
old_conv1_weight = pre_weight['conv1.weight']
channel = model_dict['conv1.weight'].size()[1]
for i in range(0,channel):
model_dict['conv1.weight'][:,i,:,:] = old_conv1_weight[:,i%3,:,:]
for k, v in pre_weight.items():
if k in model_dict.keys() and k!= 'conv1.weight':
# print(k)
pretrained_dict[k] = v
# for k, _ in pretrained_dict.items():
# print('=> loading {} pretrained model {}'.format(k, pretrained))
# logger.info(
# '=> loading {} pretrained model {}'.format(k, pretrained))
model_dict.update(pretrained_dict)
self.load_state_dict(model_dict)
class HighResolutionNet_Maya(nn.Module):
def __init__(self, num_classes=2, hr_cfg='w48', ibn=False):
# extra = config.MODEL.EXTRA
super(HighResolutionNet_Maya, self).__init__()
# stem net
self.conv1 = nn.Conv2d(3, 64, kernel_size=3, stride=2, padding=1,
bias=False)
self.bn1 = nn.BatchNorm2d(64, momentum=BN_MOMENTUM)
self.conv2 = nn.Conv2d(64, 64, kernel_size=3, stride=2, padding=1,
bias=False)
self.bn2 = nn.BatchNorm2d(64, momentum=BN_MOMENTUM)
self.relu = nn.ReLU(inplace=False)
if hr_cfg=='w64':
hrnet_cfg = hrnet_w64_cfg
if hr_cfg=='w48':
hrnet_cfg = hrnet_w48_cfg
if hr_cfg=='w40':
hrnet_cfg = hrnet_w40_cfg
if hr_cfg=='w30':
hrnet_cfg = hrnet_w30_cfg
if hr_cfg=='w18':
hrnet_cfg = hrnet_w18_cfg
if hr_cfg=='w18_v1':
hrnet_cfg = hrnet_w18_v1_cfg
if hr_cfg=='w18_v2':
hrnet_cfg = hrnet_w18_v2_cfg
self.stage1_cfg = hrnet_cfg['stage1']
num_channels = self.stage1_cfg['NUM_CHANNELS'][0]
block = blocks_dict[self.stage1_cfg['BLOCK']]
if ibn:
block = blocks_dict['BOTTLENECKIBN']
num_blocks = self.stage1_cfg['NUM_BLOCKS'][0]
self.layer1 = self._make_layer(block, 64, num_channels, num_blocks)
stage1_out_channel = block.expansion*num_channels
self.stage2_cfg = hrnet_cfg['stage2']
num_channels = self.stage2_cfg['NUM_CHANNELS']
block = blocks_dict[self.stage2_cfg['BLOCK']]
if ibn:
block = blocks_dict['BASICIBN']
num_channels = [
num_channels[i] * block.expansion for i in range(len(num_channels))]
self.transition1 = self._make_transition_layer(
[stage1_out_channel], num_channels)
self.stage2, pre_stage_channels = self._make_stage(
self.stage2_cfg, num_channels)
self.stage3_cfg = hrnet_cfg['stage3']
num_channels = self.stage3_cfg['NUM_CHANNELS']
block = blocks_dict[self.stage3_cfg['BLOCK']]
if ibn:
block = blocks_dict['BASICIBN']
num_channels = [
num_channels[i] * block.expansion for i in range(len(num_channels))]
self.transition2 = self._make_transition_layer(
pre_stage_channels, num_channels)
self.stage3, pre_stage_channels = self._make_stage(
self.stage3_cfg, num_channels)
self.stage4_cfg = hrnet_cfg['stage4']
num_channels = self.stage4_cfg['NUM_CHANNELS']
block = blocks_dict[self.stage4_cfg['BLOCK']]
num_channels = [
num_channels[i] * block.expansion for i in range(len(num_channels))]
self.transition3 = self._make_transition_layer(
pre_stage_channels, num_channels)
self.stage4, pre_stage_channels = self._make_stage(
self.stage4_cfg, num_channels, multi_scale_output=True)
last_inp_channels = np.int(np.sum(pre_stage_channels))
self.last_layer_1 = nn.Sequential(
nn.Conv2d(
in_channels=last_inp_channels,
out_channels=last_inp_channels,
kernel_size=1,
stride=1,
padding=0),
nn.BatchNorm2d(last_inp_channels, momentum=BN_MOMENTUM),
nn.ReLU(inplace=False),
nn.Conv2d(
in_channels=last_inp_channels,
out_channels=num_classes,
kernel_size=1,
stride=1,
padding=1 if 1 == 3 else 0)
)
self.last_layer_2 = nn.Sequential(
nn.Conv2d(
in_channels=last_inp_channels,
out_channels=last_inp_channels,
kernel_size=1,
stride=1,
padding=0),
nn.BatchNorm2d(last_inp_channels, momentum=BN_MOMENTUM),
nn.ReLU(inplace=False),
nn.Conv2d(
in_channels=last_inp_channels,
out_channels=num_classes,
kernel_size=1,
stride=1,
padding=1 if 1 == 3 else 0)
)
self.last_layer_3 = nn.Sequential(
nn.Conv2d(
in_channels=last_inp_channels,
out_channels=last_inp_channels,
kernel_size=1,
stride=1,
padding=0),
nn.BatchNorm2d(last_inp_channels, momentum=BN_MOMENTUM),
nn.ReLU(inplace=False),
nn.Conv2d(
in_channels=last_inp_channels,
out_channels=num_classes,
kernel_size=1,
stride=1,
padding=1 if 1 == 3 else 0)
)
def _make_transition_layer(
self, num_channels_pre_layer, num_channels_cur_layer):
num_branches_cur = len(num_channels_cur_layer)
num_branches_pre = len(num_channels_pre_layer)
transition_layers = []
for i in range(num_branches_cur):
if i < num_branches_pre:
if num_channels_cur_layer[i] != num_channels_pre_layer[i]:
transition_layers.append(nn.Sequential(
nn.Conv2d(num_channels_pre_layer[i],
num_channels_cur_layer[i],
3,
1,
1,
bias=False),
nn.BatchNorm2d(
num_channels_cur_layer[i], momentum=BN_MOMENTUM),
nn.ReLU(inplace=False)))
else:
transition_layers.append(None)
else:
conv3x3s = []
for j in range(i+1-num_branches_pre):
inchannels = num_channels_pre_layer[-1]
outchannels = num_channels_cur_layer[i] \
if j == i-num_branches_pre else inchannels
conv3x3s.append(nn.Sequential(
nn.Conv2d(
inchannels, outchannels, 3, 2, 1, bias=False),
nn.BatchNorm2d(outchannels, momentum=BN_MOMENTUM),
nn.ReLU(inplace=False)))
transition_layers.append(nn.Sequential(*conv3x3s))
return nn.ModuleList(transition_layers)
def _make_layer(self, block, inplanes, planes, blocks, stride=1):
downsample = None
if stride != 1 or inplanes != planes * block.expansion:
downsample = nn.Sequential(
nn.Conv2d(inplanes, planes * block.expansion,
kernel_size=1, stride=stride, bias=False),
nn.BatchNorm2d(planes * block.expansion, momentum=BN_MOMENTUM),
)
layers = []
layers.append(block(inplanes, planes, stride, downsample))
inplanes = planes * block.expansion
for i in range(1, blocks):
layers.append(block(inplanes, planes))
return nn.Sequential(*layers)
def _make_stage(self, layer_config, num_inchannels,
multi_scale_output=True):
num_modules = layer_config['NUM_MODULES']
num_branches = layer_config['NUM_BRANCHES']
num_blocks = layer_config['NUM_BLOCKS']
num_channels = layer_config['NUM_CHANNELS']
block = blocks_dict[layer_config['BLOCK']]
fuse_method = layer_config['FUSE_METHOD']
modules = []
for i in range(num_modules):
# multi_scale_output is only used last module
if not multi_scale_output and i == num_modules - 1:
reset_multi_scale_output = False
else:
reset_multi_scale_output = True
modules.append(
HighResolutionModule(num_branches,
block,
num_blocks,
num_inchannels,
num_channels,
fuse_method,
reset_multi_scale_output)
)
num_inchannels = modules[-1].get_num_inchannels()
return nn.Sequential(*modules), num_inchannels
def forward(self, x):
x = self.conv1(x)
x = self.bn1(x)
x = self.relu(x)
x = self.conv2(x)
x = self.bn2(x)
x = self.relu(x)
x = self.layer1(x)
x_list = []
for i in range(self.stage2_cfg['NUM_BRANCHES']):
if self.transition1[i] is not None:
x_list.append(self.transition1[i](x))
else:
x_list.append(x)
y_list = self.stage2(x_list)
x_list = []
for i in range(self.stage3_cfg['NUM_BRANCHES']):
if self.transition2[i] is not None:
if i < self.stage2_cfg['NUM_BRANCHES']:
x_list.append(self.transition2[i](y_list[i]))
else:
x_list.append(self.transition2[i](y_list[-1]))
else:
x_list.append(y_list[i])
y_list = self.stage3(x_list)
x_list = []
for i in range(self.stage4_cfg['NUM_BRANCHES']):
if self.transition3[i] is not None:
if i < self.stage3_cfg['NUM_BRANCHES']:
x_list.append(self.transition3[i](y_list[i]))
else:
x_list.append(self.transition3[i](y_list[-1]))
else:
x_list.append(y_list[i])
x = self.stage4(x_list)
# Upsampling
x0_h, x0_w = x[0].size(2), x[0].size(3)
x0 = F.interpolate(x[0], size=(x0_h, x0_w), mode='bilinear', align_corners=True)
x1 = F.interpolate(x[1], size=(x0_h, x0_w), mode='bilinear', align_corners=True)
x2 = F.interpolate(x[2], size=(x0_h, x0_w), mode='bilinear', align_corners=True)
x3 = F.interpolate(x[3], size=(x0_h, x0_w), mode='bilinear', align_corners=True)
x = torch.cat([x[0], x1, x2, x3], 1)
x_1 = self.last_layer_1(x)
x_2 = self.last_layer_2(x)
x_3 = self.last_layer_3(x)
return x_1, x_2, x_3
def init_weights(self, pretrained='', w_type="imagenet"):
# logger.info('=> init weights from normal distribution')
for m in self.modules():
if isinstance(m, nn.Conv2d):
nn.init.normal_(m.weight, std=0.001)
elif isinstance(m, nn.BatchNorm2d):
nn.init.constant_(m.weight, 1)
nn.init.constant_(m.bias, 0)
# for m in self.modules():
# if isinstance(m, nn.BatchNorm2d):
# m.requires_grad = False
if os.path.isfile(pretrained):
# pre_weight = torch.load(pretrained, map_location={'cuda:0': 'cpu'})
if w_type == "imagenet":
pre_weight = torch.load(pretrained)
else:
pre_weight = torch.load(pretrained)['model_state']
# logger.info('=> loading pretrained model {}'.format(pretrained))
model_dict = self.state_dict()
pretrained_dict = {}
old_conv1_weight = pre_weight['conv1.weight']
channel = model_dict['conv1.weight'].size()[1]
for i in range(0,channel):
model_dict['conv1.weight'][:,i,:,:] = old_conv1_weight[:,i%3,:,:]
for k, v in pre_weight.items():
if k in model_dict.keys() and k!= 'conv1.weight':
# print(k)
pretrained_dict[k] = v
# for k, _ in pretrained_dict.items():
# print('=> loading {} pretrained model {}'.format(k, pretrained))
# logger.info(
# '=> loading {} pretrained model {}'.format(k, pretrained))
model_dict.update(pretrained_dict)
self.load_state_dict(model_dict)
def get_seg_model(cfg, **kwargs):
model = HighResolutionNet()
# model.init_weights(cfg.MODEL.PRETRAINED)
return model
if __name__ == '__main__':
os.environ["CUDA_VISIBLE_DEVICES"] = '1'
model = HRNet_road_mapper(hr_cfg='w18').cuda()
model.init_weights('I:/whubuilding/ckpt/hrnetv2_w18_imagenet_pretrained.pth')
inp = torch.randn(1, 3, 1300, 1300).cuda()
for i in range(200):
with torch.no_grad():
point_map, line_map, feature = model(inp)
print(point_map.size())
print(line_map.size())
print(feature.size())
# break
# os.environ["CUDA_VISIBLE_DEVICES"] = '0'
# model = OCRModule().cuda()
# inp = torch.randn(2, 512, 128, 128).cuda()
# pre = torch.randn(2, 2, 128, 128).cuda()
# for i in range(200):
# oup = model(inp, pre)
# print(oup.size())
| 42.40439 | 149 | 0.543708 | 10,217 | 86,929 | 4.364882 | 0.032495 | 0.068571 | 0.026908 | 0.015786 | 0.886021 | 0.867522 | 0.857947 | 0.845793 | 0.83882 | 0.830927 | 0 | 0.034314 | 0.344925 | 86,929 | 2,049 | 150 | 42.425085 | 0.748828 | 0.046187 | 0 | 0.811611 | 0 | 0 | 0.053109 | 0.000681 | 0 | 0 | 0 | 0 | 0 | 1 | 0.037322 | false | 0 | 0.006517 | 0.000592 | 0.080569 | 0.00237 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
f1fe789299b26158a55db0e48ef766e02d6cde46 | 163 | py | Python | supersuit/lambda_wrappers/__init__.py | PettingZoo-Team/SuperSu | 3c4e364b4744649cb9eaa9201d70b5be3d43730f | [
"MIT"
] | 237 | 2020-05-29T04:21:08.000Z | 2021-10-08T05:37:43.000Z | supersuit/lambda_wrappers/__init__.py | PettingZoo-Team/SuperSu | 3c4e364b4744649cb9eaa9201d70b5be3d43730f | [
"MIT"
] | 58 | 2020-07-19T18:44:16.000Z | 2021-10-13T03:26:29.000Z | supersuit/lambda_wrappers/__init__.py | PettingZoo-Team/SuperSu | 3c4e364b4744649cb9eaa9201d70b5be3d43730f | [
"MIT"
] | 20 | 2020-05-29T04:21:11.000Z | 2021-09-30T20:07:20.000Z | from .action_lambda import action_lambda_v1 # NOQA
from .observation_lambda import observation_lambda_v0 # NOQA
from .reward_lambda import reward_lambda_v0 # NOQA
| 40.75 | 60 | 0.852761 | 24 | 163 | 5.416667 | 0.375 | 0.276923 | 0.184615 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.02069 | 0.110429 | 163 | 3 | 61 | 54.333333 | 0.875862 | 0.08589 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
7b17d50041eaef372863f48ca012c233123ebd69 | 786,541 | py | Python | lhcb/data/B0_D0mumu/bookkeeping/BK_LHCb_Collision12_Beam4000GeV-VeloClosed-MagDown_RealData_Reco14_Stripping20_FullStream.py | ibab/lhcb-b2dmumu | c1334c381032af9459602640e17541377fd16606 | [
"MIT"
] | 3 | 2019-06-24T10:56:34.000Z | 2019-06-24T10:57:11.000Z | lhcb/data/B0_D0mumu/bookkeeping/BK_LHCb_Collision12_Beam4000GeV-VeloClosed-MagDown_RealData_Reco14_Stripping20_FullStream.py | ibab/lhcb-b2dmumu | c1334c381032af9459602640e17541377fd16606 | [
"MIT"
] | null | null | null | lhcb/data/B0_D0mumu/bookkeeping/BK_LHCb_Collision12_Beam4000GeV-VeloClosed-MagDown_RealData_Reco14_Stripping20_FullStream.py | ibab/lhcb-b2dmumu | c1334c381032af9459602640e17541377fd16606 | [
"MIT"
] | null | null | null | #-- GAUDI jobOptions generated on Wed Nov 12 12:26:03 2014
#-- Contains event types :
#-- 90000000 - 9138 files - 264878007 events - 29070.84 GBytes
#-- Extra information about the data processing phases:
#-- Processing Pass Step-54132
#-- StepId : 54132
#-- StepName : Stripping20-Merging-DV-v32r2p1
#-- ApplicationName : DaVinci
#-- ApplicationVersion : v32r2p1
#-- OptionFiles : $APPCONFIGOPTS/Merging/DV-Stripping-Merging.py
#-- DDDB : dddb-20120831
#-- CONDDB : cond-20120831
#-- ExtraPackages : AppConfig.v3r150
#-- Visible : N
from Gaudi.Configuration import *
from GaudiConf import IOHelper
IOHelper('ROOT').inputFiles(['LFN:/lhcb/LHCb/Collision12/DIMUON.DST/00020198/0000/00020198_00000007_1.dimuon.dst',
'LFN:/lhcb/LHCb/Collision12/DIMUON.DST/00020198/0000/00020198_00000020_1.dimuon.dst',
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'LFN:/lhcb/LHCb/Collision12/DIMUON.DST/00021317/0000/00021317_00003480_1.dimuon.dst'
], clear=True)
| 85.848177 | 114 | 0.825478 | 118,869 | 786,541 | 5.308331 | 0.064945 | 0.260674 | 0.159301 | 0.318601 | 0.918028 | 0.918028 | 0.918028 | 0.918028 | 0.918028 | 0.917947 | 0 | 0.364547 | 0.011764 | 786,541 | 9,161 | 115 | 85.857548 | 0.447245 | 0.000673 | 0 | 0 | 1 | 0.999672 | 0.953337 | 0.953332 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.000219 | 0 | 0.000219 | 0 | 0 | 0 | 0 | null | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 15 |
7b20ea37d353917daad6341cb1aa89aa79cc96a2 | 14,260 | py | Python | pyVmomi/_typeinfo_legacylicense.py | xweichu/pyvmomi | 77aedef02974a63517a079c482e49fd9890c09a4 | [
"Apache-2.0"
] | null | null | null | pyVmomi/_typeinfo_legacylicense.py | xweichu/pyvmomi | 77aedef02974a63517a079c482e49fd9890c09a4 | [
"Apache-2.0"
] | null | null | null | pyVmomi/_typeinfo_legacylicense.py | xweichu/pyvmomi | 77aedef02974a63517a079c482e49fd9890c09a4 | [
"Apache-2.0"
] | null | null | null | # ******* WARNING - AUTO GENERATED CODE - DO NOT EDIT *******
from .VmomiSupport import CreateDataType, CreateManagedType
from .VmomiSupport import CreateEnumType
from .VmomiSupport import AddVersion, AddVersionParent
from .VmomiSupport import AddBreakingChangesInfo
from .VmomiSupport import F_LINK, F_LINKABLE
from .VmomiSupport import F_OPTIONAL, F_SECRET
from .VmomiSupport import newestVersions, ltsVersions
from .VmomiSupport import dottedVersions, oldestVersions
AddVersion("vmodl.version.version0", "", "", 0, "vim25")
AddVersion("vmodl.version.version1", "", "", 0, "vim25")
AddVersion("license.version.version1", "license", "1.0", 0, "license")
AddVersion("license.version.version2", "license", "2.0", 0, "license")
AddVersionParent("vmodl.version.version0", "vmodl.version.version0")
AddVersionParent("vmodl.version.version1", "vmodl.version.version0")
AddVersionParent("vmodl.version.version1", "vmodl.version.version1")
AddVersionParent("license.version.version1", "vmodl.version.version0")
AddVersionParent("license.version.version1", "vmodl.version.version1")
AddVersionParent("license.version.version1", "license.version.version1")
AddVersionParent("license.version.version2", "vmodl.version.version0")
AddVersionParent("license.version.version2", "vmodl.version.version1")
AddVersionParent("license.version.version2", "license.version.version1")
AddVersionParent("license.version.version2", "license.version.version2")
newestVersions.Add("license.version.version2")
ltsVersions.Add("license.version.version2")
dottedVersions.Add("license.version.version2")
oldestVersions.Add("license.version.version1")
CreateDataType("license.AboutInfo", "LicenseAboutInfo", "vmodl.DynamicData", "license.version.version1", [("version", "string", "license.version.version1", 0)])
CreateManagedType("license.LicenseAssetPropertyManager", "LicenseAssetPropertyManager", "vmodl.ManagedObject", "license.version.version2", None, [("queryAssetPropertyEntries", "QueryAssetPropertyEntries", "license.version.version2", (("propertyType", "string", "license.version.version2", F_OPTIONAL, None),), (F_OPTIONAL, "license.LicenseAssetPropertyManager.AssetPropertyEntry[]", "license.LicenseAssetPropertyManager.AssetPropertyEntry[]"), "Global.Licenses", ["license.fault.LicenseAssetPropertyFault", ])])
CreateEnumType("license.LicenseAssetPropertyManager.PropertyType", "LicenseAssetPropertyManagerPropertyType", "license.version.version2", ["MAC", "ABT"])
CreateDataType("license.LicenseAssetPropertyManager.AssetPropertyEntry", "LicenseAssetPropertyManagerAssetPropertyEntry", "vmodl.DynamicData", "license.version.version2", [("id", "long", "license.version.version2", 0), ("assetId", "long", "license.version.version2", 0), ("propertyType", "string", "license.version.version2", 0), ("value", "string", "license.version.version2", 0), ("createTimestamp", "long", "license.version.version2", 0), ("active", "boolean", "license.version.version2", 0), ("deleteTimestamp", "long", "license.version.version2", 0)])
CreateManagedType("license.LicenseThresholdManager", "LicenseThresholdManager", "vmodl.ManagedObject", "license.version.version1", None, [("queryThresholds", "QueryThresholds", "license.version.version1", (), (F_OPTIONAL, "license.threshold.Threshold[]", "license.threshold.Threshold[]"), "Global.Licenses", None), ("addThresholds", "AddThresholds", "license.version.version1", (("thresholds", "license.threshold.Threshold[]", "license.version.version1", 0, None),), (0, "void", "void"), "Global.Licenses", None), ("updateThresholds", "UpdateThresholds", "license.version.version1", (("thresholds", "license.threshold.Threshold[]", "license.version.version1", 0, None),), (0, "void", "void"), "Global.Licenses", None), ("removeThresholds", "RemoveThresholds", "license.version.version1", (("thresholds", "license.threshold.Threshold[]", "license.version.version1", 0, None),), (0, "void", "void"), "Global.Licenses", None)])
CreateManagedType("license.LicenseUsageManager", "LicenseUsageManager", "vmodl.ManagedObject", "license.version.version1", None, [("queryLicenseAssignmentUsage", "QueryLicenseAssignmentUsage", "license.version.version1", (("start", "vmodl.DateTime", "license.version.version1", 0, None),("end", "vmodl.DateTime", "license.version.version1", 0, None),), (F_OPTIONAL, "license.usage.LicenseAssignmentSnapshot[]", "license.usage.LicenseAssignmentSnapshot[]"), "Global.Licenses", ["license.fault.LicenseUsageFault", ]), ("queryCurrentLicenseAssignmentUsage", "QueryCurrentLicenseAssignmentUsage", "license.version.version1", (), (F_OPTIONAL, "license.usage.LicenseAssignmentSnapshot[]", "license.usage.LicenseAssignmentSnapshot[]"), "Global.Licenses", ["license.fault.LicenseUsageFault", ]), ("queryEditionLicenseUsage", "QueryEditionLicenseUsage", "license.version.version1", (("start", "vmodl.DateTime", "license.version.version1", 0, None),("end", "vmodl.DateTime", "license.version.version1", 0, None),), (F_OPTIONAL, "license.usage.EditionSnapshot[]", "license.usage.EditionSnapshot[]"), "Global.Licenses", ["license.fault.LicenseUsageFault", ]), ("queryCurrentEditionLicenseUsage", "QueryCurrentEditionLicenseUsage", "license.version.version1", (), (F_OPTIONAL, "license.usage.EditionSnapshot[]", "license.usage.EditionSnapshot[]"), "Global.Licenses", ["license.fault.LicenseUsageFault", ]), ("queryAssetLicenseUsageByKey", "QueryAssetLicenseUsageByKey", "license.version.version1", (("start", "vmodl.DateTime", "license.version.version1", 0, None),("end", "vmodl.DateTime", "license.version.version1", 0, None),("licenseKey", "string", "license.version.version1", 0, None),("costUnit", "string", "license.version.version1", 0, None),), (F_OPTIONAL, "license.usage.AssetSnapshot[]", "license.usage.AssetSnapshot[]"), "Global.Licenses", ["license.fault.LicenseUsageFault", ]), ("queryCurrentAssetLicenseUsageByKey", "QueryCurrentAssetLicenseUsageByKey", "license.version.version1", (("licenseKey", "string", "license.version.version1", 0, None),("costUnit", "string", "license.version.version1", 0, None),), (F_OPTIONAL, "license.usage.AssetSnapshot[]", "license.usage.AssetSnapshot[]"), "Global.Licenses", ["license.fault.LicenseUsageFault", ]), ("queryEditionVcGroups", "QueryEditionVcGroups", "license.version.version1", (("start", "vmodl.DateTime", "license.version.version1", 0, None),("end", "vmodl.DateTime", "license.version.version1", 0, None),), (F_OPTIONAL, "license.usage.EditionVcGroup[]", "license.usage.EditionVcGroup[]"), "Global.Licenses", ["license.fault.LicenseUsageFault", ]), ("queryUsageEntries", "QueryUsageEntries", "license.version.version1", (("start", "vmodl.DateTime", "license.version.version1", 0, None),("end", "vmodl.DateTime", "license.version.version1", 0, None),), (F_OPTIONAL, "license.usage.UsageEntry[]", "license.usage.UsageEntry[]"), "Global.Licenses", ["license.fault.LicenseUsageFault", ]), ("queryLicenseEntries", "QueryLicenseEntries", "license.version.version1", (), (F_OPTIONAL, "license.usage.LicenseEntry[]", "license.usage.LicenseEntry[]"), "Global.Licenses", ["license.fault.LicenseUsageFault", ]), ("queryContextEntries", "QueryContextEntries", "license.version.version1", (), (F_OPTIONAL, "license.usage.ContextEntry[]", "license.usage.ContextEntry[]"), "Global.Licenses", ["license.fault.LicenseUsageFault", ]), ("queryVcGroupEntries", "QueryVcGroupEntries", "license.version.version1", (), (F_OPTIONAL, "license.usage.VcGroupEntry[]", "license.usage.VcGroupEntry[]"), "Global.Licenses", ["license.fault.LicenseUsageFault", ])])
CreateDataType("license.ServiceContent", "LicenseServiceContent", "vmodl.DynamicData", "license.version.version1", [("about", "license.AboutInfo", "license.version.version1", 0), ("sessionManager", "license.SessionManager", "license.version.version1", 0), ("licenseUsageManager", "license.LicenseUsageManager", "license.version.version1", 0), ("licenseThresholdManager", "license.LicenseThresholdManager", "license.version.version1", 0), ("licenseAssetPropertyManager", "license.LicenseAssetPropertyManager", "license.version.version2", F_OPTIONAL)])
CreateManagedType("license.ServiceInstance", "LicenseServiceInstance", "vmodl.ManagedObject", "license.version.version1", None, [("retrieveContent", "RetrieveContent", "license.version.version1", (), (0, "license.ServiceContent", "license.ServiceContent"), "System.Anonymous", None)])
CreateManagedType("license.SessionManager", "LicenseSessionManager", "vmodl.ManagedObject", "license.version.version1", None, [("ping", "Ping", "license.version.version1", (), (0, "void", "void"), "System.View", None)])
CreateDataType("license.fault.LicenseAssetPropertyFault", "LicenseAssetPropertyFault", "vmodl.MethodFault", "license.version.version2", [("reason", "string", "license.version.version2", 0)])
CreateEnumType("license.fault.LicenseAssetPropertyFault.ReasonType", "LicenseAssetPropertyFaultReasonType", "license.version.version1", ["dataTampered", "other"])
CreateDataType("license.fault.LicenseThresholdFault", "LicenseThresholdFault", "vmodl.MethodFault", "license.version.version1", None)
CreateDataType("license.fault.LicenseUsageFault", "LicenseUsageFault", "vmodl.MethodFault", "license.version.version1", [("reason", "string", "license.version.version1", 0)])
CreateEnumType("license.fault.LicenseUsageFault.ReasonType", "LicenseUsageFaultReasonType", "license.version.version1", ["dataTampered", "other"])
CreateDataType("license.fault.NotAuthenticated", "LicenseServicesNotAuthenticated", "vmodl.RuntimeFault", "license.version.version1", None)
CreateDataType("license.fault.NotAuthorized", "LicenseServicesNotAuthorized", "vmodl.RuntimeFault", "license.version.version1", None)
CreateDataType("license.threshold.Threshold", "ThresholdThreshold", "vmodl.DynamicData", "license.version.version1", [("edition", "string", "license.version.version1", 0), ("costUnit", "string", "license.version.version1", 0), ("limit", "long", "license.version.version1", 0)])
CreateDataType("license.usage.ContextEntry", "UsageContextEntry", "vmodl.DynamicData", "license.version.version1", [("contextId", "long", "license.version.version1", 0), ("licenseId", "long", "license.version.version1", 0), ("assetId", "long", "license.version.version1", 0), ("assetKey", "string", "license.version.version1", 0), ("scope", "string", "license.version.version1", F_OPTIONAL), ("vcName", "string", "license.version.version1", F_OPTIONAL), ("vcGroupId", "long", "license.version.version1", 0)])
CreateDataType("license.usage.EditionVcGroup", "UsageEditionVcGroup", "vmodl.DynamicData", "license.version.version1", [("editionName", "string", "license.version.version1", 0), ("costUnit", "string", "license.version.version1", 0), ("vcIds", "string[]", "license.version.version1", 0)])
CreateDataType("license.usage.LicenseEntry", "UsageLicenseEntry", "vmodl.DynamicData", "license.version.version1", [("licenseId", "long", "license.version.version1", 0), ("licenseKey", "string", "license.version.version1", 0), ("editionName", "string", "license.version.version1", 0), ("costUnit", "string", "license.version.version1", 0), ("costUnitNum", "int", "license.version.version1", 0), ("capacity", "long", "license.version.version1", 0), ("expirationTimestamp", "long", "license.version.version1", 0)])
CreateDataType("license.usage.Snapshot", "UsageSnapshot", "vmodl.DynamicData", "license.version.version1", [("capacity", "long", "license.version.version1", 0), ("unlimitedCapacity", "boolean", "license.version.version1", 0), ("usage", "long", "license.version.version1", 0), ("timestamp", "long", "license.version.version1", 0), ("costUnit", "string", "license.version.version1", 0)])
CreateDataType("license.usage.UsageEntry", "UsageUsageEntry", "vmodl.DynamicData", "license.version.version1", [("contextId", "long", "license.version.version1", 0), ("usage", "long", "license.version.version1", 0), ("timestamp", "long", "license.version.version1", 0)])
CreateDataType("license.usage.VCenter", "UsageVCenter", "vmodl.DynamicData", "license.version.version1", [("id", "string", "license.version.version1", 0), ("name", "string", "license.version.version1", 0)])
CreateDataType("license.usage.VcGroupEntry", "UsageVcGroupEntry", "vmodl.DynamicData", "license.version.version1", [("vcGroupId", "long", "license.version.version1", 0), ("vCenters", "license.usage.VCenter[]", "license.version.version1", 0)])
CreateDataType("license.usage.AssetSnapshot", "UsageAssetSnapshot", "license.usage.Snapshot", "license.version.version1", [("assetId", "string", "license.version.version1", 0), ("assetName", "string", "license.version.version1", F_OPTIONAL), ("assetScope", "string", "license.version.version1", F_OPTIONAL), ("multiVc", "boolean", "license.version.version1", 0)])
CreateDataType("license.usage.EditionSnapshot", "UsageEditionSnapshot", "license.usage.Snapshot", "license.version.version1", [("editionName", "string", "license.version.version1", 0), ("licenseKeys", "license.usage.LicenseKeySnapshot[]", "license.version.version1", 0)])
CreateDataType("license.usage.LicenseAssignmentSnapshot", "UsageLicenseAssignmentSnapshot", "license.usage.Snapshot", "license.version.version1", [("licenseKey", "string", "license.version.version1", 0), ("costUnitNum", "int", "license.version.version1", 0), ("editionKey", "string", "license.version.version1", 0), ("editionName", "string", "license.version.version1", 0), ("productName", "string", "license.version.version1", 0), ("productVersion", "string", "license.version.version1", 0), ("expirationTimestamp", "long", "license.version.version1", 0), ("assetId", "string", "license.version.version1", 0), ("assetName", "string", "license.version.version1", F_OPTIONAL), ("scope", "string", "license.version.version1", F_OPTIONAL), ("vcName", "string", "license.version.version1", F_OPTIONAL), ("vcGroup", "license.usage.VCenter[]", "license.version.version1", F_OPTIONAL)])
CreateDataType("license.usage.LicenseKeySnapshot", "UsageLicenseKeySnapshot", "license.usage.Snapshot", "license.version.version1", [("licenseKey", "string", "license.version.version1", 0), ("costUnitNum", "int", "license.version.version1", 0), ("expired", "boolean", "license.version.version1", 0), ("multiVcAssets", "license.usage.AssetSnapshot[]", "license.version.version1", F_OPTIONAL)])
| 241.694915 | 3,582 | 0.750701 | 1,325 | 14,260 | 8.058113 | 0.124528 | 0.195373 | 0.257563 | 0.150791 | 0.599419 | 0.495739 | 0.433923 | 0.392994 | 0.3294 | 0.296713 | 0 | 0.01879 | 0.052034 | 14,260 | 58 | 3,583 | 245.862069 | 0.771046 | 0.004137 | 0 | 0 | 1 | 0 | 0.689344 | 0.509332 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.148148 | 0 | 0.148148 | 0 | 0 | 0 | 0 | null | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
9eb7564a1279dc5cf367f500bf4bff9865bf89d1 | 324 | py | Python | lca_writer/__init__.py | line-mind/lca_writer | 0f356cf20285ba684826dfdd18b75d0f0ebea120 | [
"BSD-3-Clause"
] | 1 | 2022-02-10T21:32:54.000Z | 2022-02-10T21:32:54.000Z | lca_writer/__init__.py | line-mind/lca_writer | 0f356cf20285ba684826dfdd18b75d0f0ebea120 | [
"BSD-3-Clause"
] | 1 | 2018-12-22T23:12:30.000Z | 2018-12-22T23:12:30.000Z | lca_writer/__init__.py | line-mind/lca_writer | 0f356cf20285ba684826dfdd18b75d0f0ebea120 | [
"BSD-3-Clause"
] | 1 | 2019-10-09T07:03:09.000Z | 2019-10-09T07:03:09.000Z | """
==============================
LCA Writer (:mod:`lca_writer`)
==============================
Submodules
==========
.. autosummary::
:toctree: generated/
data
Classes
=======
.. autosummary::
:toctree: generated/
LCAWriter
LCAWriterArgParser
"""
from .lca_writer import *
from .scripts import *
| 12.96 | 30 | 0.496914 | 23 | 324 | 6.913043 | 0.608696 | 0.169811 | 0.339623 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.17284 | 324 | 24 | 31 | 13.5 | 0.593284 | 0.817901 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
7b616a3190b6b60f2faf5043c078d21470ef6247 | 8,782 | py | Python | main.py | parhamTheDeveloper/Cryptographer | e4f8177beb68a14f44c04d870725aecef3571087 | [
"MIT"
] | null | null | null | main.py | parhamTheDeveloper/Cryptographer | e4f8177beb68a14f44c04d870725aecef3571087 | [
"MIT"
] | null | null | null | main.py | parhamTheDeveloper/Cryptographer | e4f8177beb68a14f44c04d870725aecef3571087 | [
"MIT"
] | null | null | null | from time import sleep
from design import *
from modules.decrypt import *
from modules.encrypt import *
from sys import exit as sysexit
try:
from colorama import Fore, init
except ModuleNotFoundError:
print("Please install the required modules")
sleep(0.1)
print("Use 'python -m pip install -r requirements.txt' or 'python3 -m pip install -r requirements.txt'")
def main():
bold = '\033[1m'
endbold = '\033[0m'
try:
init()
introduce()
startBanner()
startMenu()
print(Fore.BLUE + bold + "\nSelect an action:" + endbold)
while True:
try:
sleep(0.1)
num = int(input(Fore.LIGHTYELLOW_EX + ">>> " + Fore.GREEN))
if num not in range(4):
raise ValueError
fAction = num
break
except ValueError:
sleep(0.1)
print(Fore.RED + "Invalid Input")
continue
if fAction == 0:
raise KeyboardInterrupt
elif fAction == 3:
infoPage()
print(Fore.BLUE + bold + "Press Enter to exit..." + endbold)
input(Fore.GREEN + "")
raise KeyboardInterrupt
elif fAction == 1:
menu()
print(Fore.BLUE + bold + "\nSelect an action:" + endbold)
while True:
try:
sleep(0.1)
num = int(input(Fore.LIGHTYELLOW_EX + ">>> " + Fore.GREEN))
if num not in range(5):
raise ValueError
sAction = num
break
except ValueError:
sleep(0.1)
print(Fore.RED + "Invalid Input")
continue
if sAction == 1:
introduce("Base64 Encoder")
sleep(0.1)
print(Fore.LIGHTYELLOW_EX + "\nPress Ctrl + C to exit")
sleep(0.1)
print(Fore.BLUE + bold + "\n\nEnter Text:" + endbold)
try:
while True:
sleep(0.1)
txt = input(Fore.LIGHTYELLOW_EX + ">>>" + Fore.GREEN)
encoded = encodeBase64(txt)
if not encoded:
sleep(0.1)
print(Fore.RED + bold + "Error" + endbold)
else:
sleep(0.1)
print(Fore.MAGENTA + f"{str(encoded)}")
except KeyboardInterrupt:
sleep(0.1)
print(Fore.RED + "\nExiting...")
sleep(0.3)
sysexit()
elif sAction == 2:
introduce("Hex Encoder")
sleep(0.1)
print(Fore.LIGHTYELLOW_EX + "\nPress Ctrl + C to exit")
sleep(0.1)
print(Fore.BLUE + bold + "\n\nEnter Text:" + endbold)
try:
while True:
sleep(0.1)
txt = input(Fore.LIGHTYELLOW_EX + ">>>" + Fore.GREEN)
encoded = encodeHex(txt)
if not encoded:
sleep(0.1)
print(Fore.RED + bold + "Error" + endbold)
else:
sleep(0.1)
print(Fore.MAGENTA + f"{str(encoded)}")
except KeyboardInterrupt:
sleep(0.1)
print(Fore.RED + "\nExiting...")
sleep(0.3)
sysexit()
elif sAction == 3:
introduce("Rot13 Encoder")
sleep(0.1)
print(Fore.LIGHTYELLOW_EX + "\nPress Ctrl + C to exit")
sleep(0.1)
print(Fore.BLUE + bold + "\n\nEnter Text:" + endbold)
try:
while True:
sleep(0.1)
txt = input(Fore.LIGHTYELLOW_EX + ">>>" + Fore.GREEN)
encoded = encodeRot13(txt)
if not encoded:
sleep(0.1)
print(Fore.RED + bold + "Error" + endbold)
else:
sleep(0.1)
print(Fore.MAGENTA + f"{str(encoded)}")
except KeyboardInterrupt:
sleep(0.1)
print(Fore.RED + "\nExiting...")
sleep(0.3)
sysexit()
elif sAction == 4:
main()
elif sAction == 0:
raise KeyboardInterrupt
elif fAction == 2:
menu(False)
print(Fore.BLUE + bold + "\nSelect an action:" + endbold)
while True:
try:
sleep(0.1)
num = int(input(Fore.LIGHTYELLOW_EX + ">>> " + Fore.GREEN))
if num not in range(5):
raise ValueError
sAction = num
break
except ValueError:
sleep(0.1)
print(Fore.RED + "Invalid Input")
continue
if sAction == 1:
introduce("Base64 Decoder")
sleep(0.1)
print(Fore.LIGHTYELLOW_EX + "\nPress Ctrl + C to exit")
sleep(0.1)
print(Fore.BLUE + bold + "\n\nEnter Text:" + endbold)
try:
while True:
sleep(0.1)
txt = input(Fore.LIGHTYELLOW_EX + ">>>" + Fore.GREEN)
decoded = decodeBase64(txt)
if not decoded:
sleep(0.1)
print(Fore.RED + bold + "Error" + endbold)
else:
sleep(0.1)
print(Fore.MAGENTA + f"{str(decoded)}")
except KeyboardInterrupt:
sleep(0.1)
print(Fore.RED + "\nExiting...")
sleep(0.3)
sysexit()
elif sAction == 2:
introduce("Hex Decoder")
sleep(0.1)
print(Fore.LIGHTYELLOW_EX + "\nPress Ctrl + C to exit")
sleep(0.1)
print(Fore.BLUE + bold + "\n\nEnter Text:" + endbold)
try:
while True:
sleep(0.1)
txt = input(Fore.LIGHTYELLOW_EX + ">>>" + Fore.GREEN)
decoded = decodeHex(txt)
if not decoded:
sleep(0.1)
print(Fore.RED + bold + "Error" + endbold)
else:
sleep(0.1)
print(Fore.MAGENTA + f"{str(decoded)}")
except KeyboardInterrupt:
sleep(0.1)
print(Fore.RED + "\nExiting...")
sleep(0.3)
sysexit()
elif sAction == 3:
introduce("Rot13 Decoder")
sleep(0.1)
print(Fore.LIGHTYELLOW_EX + "\nPress Ctrl + C to exit")
sleep(0.1)
print(Fore.BLUE + bold + "\n\nEnter Text:" + endbold)
try:
while True:
sleep(0.1)
txt = input(Fore.LIGHTYELLOW_EX + ">>>" + Fore.GREEN)
decoded = decodeRot13(txt)
if not decoded:
sleep(0.1)
print(Fore.RED + bold + "Error" + endbold)
else:
sleep(0.1)
print(Fore.MAGENTA + f"{str(decoded)}")
except KeyboardInterrupt:
sleep(0.1)
print(Fore.RED + "\nExiting...")
sleep(0.3)
sysexit()
elif sAction == 4:
main()
elif sAction == 0:
raise KeyboardInterrupt
except KeyboardInterrupt:
sleep(0.1)
print(Fore.RED + "\nExiting...")
sleep(0.3)
sysexit()
if __name__ == "__main__":
main()
| 39.381166 | 109 | 0.382259 | 747 | 8,782 | 4.463186 | 0.141901 | 0.091782 | 0.092382 | 0.125975 | 0.846431 | 0.832933 | 0.816737 | 0.816737 | 0.816737 | 0.816737 | 0 | 0.034318 | 0.522205 | 8,782 | 222 | 110 | 39.558559 | 0.760248 | 0 | 0 | 0.814815 | 0 | 0.00463 | 0.094393 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.00463 | false | 0 | 0.027778 | 0 | 0.032407 | 0.185185 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
7bc30769069ecb3c4fe95e7800d9a4de36c79f4c | 4,204 | py | Python | reducing_encoder.py | wanglabcumc/VariationalHomologEncoder | b2ae5244bd651042fbe29e1a3769c07122c8c145 | [
"MIT"
] | null | null | null | reducing_encoder.py | wanglabcumc/VariationalHomologEncoder | b2ae5244bd651042fbe29e1a3769c07122c8c145 | [
"MIT"
] | null | null | null | reducing_encoder.py | wanglabcumc/VariationalHomologEncoder | b2ae5244bd651042fbe29e1a3769c07122c8c145 | [
"MIT"
] | null | null | null | import numpy as np
import os
import tensorflow as tf
from BN_layers import *
from layers import *
from utils import avg_pool_res
class Reducing_Encoder_243(object):
def __init__(self, name, is_training, batch_size, channels = 256, filter_width = 3, strides = 3):
self.batch_size = batch_size
self.var_scope = name
self.channels = channels
self.filter_width = filter_width
self.strides = strides
self.glu = False
self.up_f = []
self.up_g = []
self.avg_res = []
with tf.variable_scope(self.var_scope):
for input_size in [243, 81, 27, 9]:
self.up_f.append(BN_Conv("up_f_%i" %(input_size), is_training, self.filter_width, self.channels, self.channels))
if self.glu:
self.up_g.append(BN_Conv("up_g_%i" %(input_size), is_training, self.filter_width, self.channels, self.channels))
else:
self.up_g.append(None)
self.avg_res.append(avg_pool_res(self.filter_width, self.strides))
self.up_dense_f = BN_Conv("final_act_f", is_training, 3, self.channels, self.channels)
self.last_res = avg_pool_res(3, 3)
if self.glu:
self.up_dense_g = BN_Conv("final_act_g", is_training, 3, self.channels, self.channels)
def activated_on(self, seq):
cur_act = seq
for (up_f, up_g, avg_res) in zip(self.up_f, self.up_g, self.avg_res):
res_act = avg_res.activated_on(cur_act)
f_act = up_f.activated_on(cur_act, strides = [self.strides])
if self.glu:
g_act = tf.sigmoid(up_g.activated_on(cur_act, strides=[self.strides]))
cur_act = f_act * g_act + res_act
else:
cur_act = tf.nn.relu(f_act + res_act)
if self.glu:
dense_f = self.up_dense_f.activated_on(cur_act, strides = [3])
dense_g = self.up_dense_g.activated_on(cur_act, strides = [3])
dense_act = dense_f * tf.sigmoid(dense_g) + self.last_res.activated_on(cur_act)
else:
dense_f = self.up_dense_f.activated_on(cur_act, strides=[3]) + self.last_res.activated_on(cur_act) #why not just keep the residual going?
dense_act = tf.nn.relu(dense_f + self.last_res.activated_on(cur_act))
#dense_g = self.up_dense_g.activated_on(cur_act, strides=[5])
#dense_act = dense_f * tf.sigmoid(dense_g)
return tf.squeeze(dense_act, [1])
class Reducing_Encoder(object):
def __init__(self, name, is_training, batch_size, channels = 256, filter_width = 2, strides = 2):
self.batch_size = batch_size
self.var_scope = name
self.channels = channels
self.filter_width = filter_width
self.strides = strides
self.glu = False
self.up_f = []
self.up_g = []
self.avg_res = []
with tf.variable_scope(self.var_scope):
for input_size in [256, 128, 64, 32, 16, 8, 4]:
self.up_f.append(BN_Conv("up_f_%i" %(input_size), is_training, self.filter_width, self.channels, self.channels))
if self.glu:
self.up_g.append(BN_Conv("up_g_%i" %(input_size), is_training, self.filter_width, self.channels, self.channels))
else:
self.up_g.append(None)
self.avg_res.append(avg_pool_res(self.filter_width, self.strides))
self.up_dense_f = BN_Conv("final_act_f", is_training, 2, self.channels, self.channels)
self.last_res = avg_pool_res(2, 2)
if self.glu:
self.up_dense_g = BN_Conv("final_act_g", is_training, 2, self.channels, self.channels)
def activated_on(self, seq):
cur_act = seq
for (up_f, up_g, avg_res) in zip(self.up_f, self.up_g, self.avg_res):
res_act = avg_res.activated_on(cur_act)
f_act = up_f.activated_on(cur_act, strides=[self.strides])
if self.glu:
g_act = tf.sigmoid(up_g.activated_on(cur_act, strides=[self.strides]))
cur_act = f_act * g_act + res_act
else:
cur_act = tf.nn.relu(f_act + res_act)
if self.glu:
dense_f = self.up_dense_f.activated_on(cur_act, strides=[2])
dense_g = self.up_dense_g.activated_on(cur_act, strides=[2])
dense_act = dense_f * tf.sigmoid(dense_g) + self.last_res.activated_on(cur_act)
else:
dense_f = self.up_dense_f.activated_on(cur_act, strides=[2]) + self.last_res.activated_on(cur_act) #why not just keep the residual going?
dense_act = tf.nn.relu(dense_f + self.last_res.activated_on(cur_act))
#dense_g = self.up_dense_g.activated_on(cur_act, strides=[5])
#dense_act = dense_f * tf.sigmoid(dense_g)
return tf.squeeze(dense_act, [1])
| 38.925926 | 140 | 0.720029 | 743 | 4,204 | 3.751009 | 0.113055 | 0.055974 | 0.100466 | 0.121995 | 0.932185 | 0.932185 | 0.932185 | 0.930032 | 0.930032 | 0.930032 | 0 | 0.014854 | 0.151284 | 4,204 | 107 | 141 | 39.28972 | 0.766256 | 0.065652 | 0 | 0.727273 | 0 | 0 | 0.018358 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.045455 | false | 0 | 0.068182 | 0 | 0.159091 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
cda6bd163dd8d9cfe4493d65d42c3d3112102189 | 800,730 | py | Python | projects/src/main/python/CodeJam/Y11R5P1/goodwind/generated_py_48004e43de5d4ea6b565d69a580edc84.py | DynamicCodeSearch/CodeSeer | ee985ece7691691585952eb88565f0e08bdc9113 | [
"MIT"
] | 5 | 2020-04-05T18:04:13.000Z | 2021-04-13T20:34:19.000Z | projects/src/main/python/CodeJam/Y11R5P1/goodwind/generated_py_48004e43de5d4ea6b565d69a580edc84.py | DynamicCodeSearch/CodeSeer | ee985ece7691691585952eb88565f0e08bdc9113 | [
"MIT"
] | 1 | 2020-04-29T21:42:26.000Z | 2020-05-01T23:45:45.000Z | projects/src/main/python/CodeJam/Y11R5P1/goodwind/generated_py_48004e43de5d4ea6b565d69a580edc84.py | DynamicCodeSearch/CodeSeer | ee985ece7691691585952eb88565f0e08bdc9113 | [
"MIT"
] | 3 | 2020-01-27T16:02:14.000Z | 2021-02-08T13:25:15.000Z | import sys
sys.path.append('/home/george2/Raise/ProgramRepair/CodeSeer/projects/src/main/python')
from CodeJam.Y11R5P1.goodwind.A import *
def func_0e00c6f462774b51878ee648d4d91522(fi):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
return l
def func_5712703f2dd944dbb9d0128369d0b6fe(fi):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
return u
def func_4b42631de8aa45fe9251d1abc5eca0d8(fi):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
return w
def func_af07968bfbfb4c848172fbc70a352d21(fi):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
return U
def func_1152b04da8e44b87aeb79c7ab5ef41b6(fi):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
return L
def func_d5b37c56ef75498eaffe80982f987854(fi):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
return g
def func_f3e4d1114ee6414a86f7f54d13679bb0():
L, U = [], []
S = 0
return L
def func_1f6a6bcac7984e6488246900bd6c3ddc():
L, U = [], []
S = 0
return S
def func_717a34d225e5469381a93472785b2260():
L, U = [], []
S = 0
return U
def func_be10b04b4f174f9790f3ed5487ded4fc():
s0 = 0
getNext = True
return getNext
def func_40d233b9a43941cc841df7872c6fc462():
s0 = 0
getNext = True
return s0
def func_1a30dcb3bead48ccb90049cc2e6151c8(fi):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
return U
def func_383ed4e260654cc7b3455a99733843fc(fi):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
return S
def func_00aa0334ce3243e8afd034b5b3afe7fa(fi):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
return g
def func_a29fb226d9364a90a59a5768fc3fc1c4(fi):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
return w
def func_6b69dd3a71394530ac9e6d7281f3091e(fi):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
return L
def func_49892bce2a58410dbc43aba4b37f09d6(fi):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
return u
def func_3f72b59689be4284bad0d4a6f6591dd1(fi):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
return l
def func_018263dc9c924f818fe6a75b63d689d7(fi, l):
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
return U
def func_e10a279c8dbb48b199636b9ac3d65efd(fi, l):
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
return L
def func_df5661fc582a49a2bcf1f31627b9408c(fi, l):
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
return x
def func_52b5311939e34c189c2bf0078bfe0c1c(fi, l):
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
return y
def func_f10143f9af8f40efb735d8c031802bf6(fi, l):
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
return S
def func_0c949362970b4f97b0b11ee64c4f1039(fi, l):
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
return i
def func_2176540960d64ed5930c6e83dadc09b4(fi):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
return l
def func_343074439be94ef68fb192f593adabf8(fi):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
return U
def func_248eb361a08c4ee286c8cbc1deda6919(fi):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
return x
def func_4e181c3c5e7248fb802faf221285a917(fi):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
return L
def func_e677ef2d5a1948788d3ccd1b6590c12c(fi):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
return S
def func_fd8b4594008e42db87e71f97b60731a2(fi):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
return w
def func_0eead907aabe45db952af9a97a678e9a(fi):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
return g
def func_24ec9a159bff4e5a81a9d6044e9358eb(fi):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
return i
def func_84c55948ecf24e9ab5d7d603e2c5fd7a(fi):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
return u
def func_14defde42e7646eb81aa18c24e571af8(fi):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
return y
def func_7fc7a0589d3f4c69b98cb0d634ec6a6e(fi, l, u):
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
return L
def func_8952b123577045f7a35c429eececcf85(fi, l, u):
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
return x
def func_b97e26cd78f94a2e8affc4d3c544b0f2(fi, l, u):
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
return i
def func_fa1078f4e09f49e3991647b2aaf75239(fi, l, u):
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
return U
def func_a3f22716a59440efb22568e36f9f0263(fi, l, u):
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
return S
def func_87877023d1204a55ace05c8114d423b6(fi, l, u):
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
return y
def func_075e7da2104b438d8f5f8e59bfce6939(fi):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
return i
def func_cb83da1bb4ad4d2eba07bcaf3e20347e(fi):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
return g
def func_57a8e9797af84acf96d801603d1933e5(fi):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
return u
def func_ff7c0db2f8194f7cbf69001e449d50b3(fi):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
return U
def func_089274f3b819439eaa706276ac5e9933(fi):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
return y
def func_f7309238ada643f8aaf1b291181b3521(fi):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
return w
def func_e87983f7a84148a0973fc26c49c0ce60(fi):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
return l
def func_2b34d36323824468b6d415bb5d99787a(fi):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
return L
def func_c60ae2badfd94d9c832f575ef04848ba(fi):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
return x
def func_c279cca944bd40c4ad1e835afd5f070f(fi):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
return S
def func_a0f6e8bf1ee94919819214e0fef8f550(fi, l, u):
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
return L
def func_b6b2f151fb5644e68889568cfbaf89b8(fi, l, u):
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
return x
def func_f104bec870db411f81f101aec6635fcc(fi, l, u):
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
return y
def func_4de6b804d2fe46a1bbde6b3ec9424348(fi, l, u):
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
return j
def func_f7aa9f0f720540b78f192213d762add0(fi, l, u):
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
return S
def func_ecac2b2c4738418786980c1e9dc991a1(fi, l, u):
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
return i
def func_b83eb38f8e744b28af8dfb21c74c3628(fi, l, u):
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
return U
def func_dd9317bff91742888a23eb5f848f8ec7(fi):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
return y
def func_1d1672a1965644a3b4c62873db5f0c57(fi):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
return w
def func_1602432b057f4f47b892b028f3fb45cc(fi):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
return U
def func_4d9419afb9854438b622c8c2265f662d(fi):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
return l
def func_6c9d95da1d5741fd975e85c6516afb80(fi):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
return x
def func_8c9955bc9f8d488ea7cbd6216a739c48(fi):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
return i
def func_aad026437c964b8c89cb168c30eda16e(fi):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
return S
def func_13bd8b74bd3343928035b9f553ad58ca(fi):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
return g
def func_879f10af8bb14c1096d206fd17ec3f67(fi):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
return L
def func_d5a18ed2ec3f473eb6fe18b21d66a606(fi):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
return j
def func_82afb1eead5f4c4f864cce7206bdd9c1(fi):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
return u
def func_330c207e197f43ee88205585837b1485(fi, l, u):
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
return U
def func_f46139b5c4144391900deb96911d01d8(fi, l, u):
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
return L
def func_cf0731ad389d4847a91c21925a16387c(fi, l, u):
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
return cur
def func_8e8ffbfb46d749a3a7a746cbcc3ab8d8(fi, l, u):
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
return j
def func_c131c1325ec54db49e9cf0d5c6c0617b(fi, l, u):
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
return i
def func_c85a57b15e8246eea2afc7002fd81c32(fi, l, u):
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
return S
def func_e13e6e3c5a844a7ab09357ce058a05ce(fi, l, u):
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
return x
def func_3247af5eb0714efd9e53a95d470fa440(fi, l, u):
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
return y
def func_284ef4f11641426a8667dba020c7bc11(fi):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
return l
def func_89887b3142dc4f169c9f254ff48747c3(fi):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
return cur
def func_b8943ee1cc254091a69a8d8530ecab08(fi):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
return g
def func_bda853c45ef94b0a997ee8e260fdd939(fi):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
return i
def func_3b1474389bf544ddb19f65b04b5a2bd5(fi):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
return y
def func_fab7c7c9187d4e8eb51a0ad9a67da973(fi):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
return x
def func_0627461563764652a4f98b6ee6ee73d6(fi):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
return j
def func_83cc4266681a4aebabca2767295b9490(fi):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
return S
def func_8aae02d19f864894a20d629719770bc1(fi):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
return w
def func_ceaa215dbaa04375b46831de20f4b580(fi):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
return U
def func_561d7300bbd746b4ab7a2b2494a42352(fi):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
return L
def func_cd943e2c6ca1466980f42dbfe4a63cb2(fi):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
return u
def func_80f9798801c94cc5937d32285d7e8395(fi, l, u):
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
return L
def func_1df89cd76700485ea4cc9d656bfc311f(fi, l, u):
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
return U
def func_8a7bdee94dda43189524750fdd3c5929(fi, l, u):
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
return S
def func_2155f6a53f71407490de700a710b8ecf(fi, l, u):
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
return cur
def func_69d1c66ef8944970ac15f1b9d683b9bd(fi, l, u):
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
return j
def func_39662b9642334a25a6e32f4820abe8bf(fi, l, u):
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
return i
def func_fe0dd151f905498c906c7dde6ec52c11(fi, l, u):
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
return x
def func_fce1673e9cae47f08331cde34438d033(fi, l, u):
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
return y
def func_d03ca504384c4209ab5b442081bc6763(fi):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
return u
def func_518854a08a4146339b11d59ce5b9502c(fi):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
return x
def func_31c273168bbb42fcae591d28c47c5b0e(fi):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
return j
def func_8a4b9a4225dd44149db0ee9dbc8ceb31(fi):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
return S
def func_0aedb35a089341d1a7e4453aaf4828a6(fi):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
return w
def func_638d6b695e1141eb99954ef51a2965d5(fi):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
return cur
def func_c7eaa86f5b07421d951e83ee38a645e1(fi):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
return y
def func_d22bcd51f3d240c0a75cf1c9f8484a0d(fi):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
return L
def func_1685ecea68c540cfa608c125c4368d36(fi):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
return i
def func_69be9b0b4bfa4314b8f758edc5b87bf4(fi):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
return U
def func_c8476f497b1b422e9e7656fd517fc05d(fi):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
return g
def func_289e2592c0aa49f3994811c06cdd6a70(fi):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
return l
def func_5745766df8d146f0af48f9d3fafe6919(cur2, x, cur, x2):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
return s
def func_bbe872bf86994c729e39a0bed26e6a6c(cur2, x, cur, x2):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
return s0
def func_e3ee222989fd4ba3913befdf7291ad53(cur2, x2):
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
return x
def func_64ecdec6d12a434bb18222b1552e585f(cur2, x2):
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
return s0
def func_25e29901ccfa4c4f95798711218cd1ef(cur2, x2):
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
return cur
def func_2b4e2cf235704be391477148a2f41ca6(cur2, x2):
x, cur = x2, cur2
getNext = True
return x
def func_3f75f187028443458185c162eb87aa7b(cur2, x2):
x, cur = x2, cur2
getNext = True
return getNext
def func_a284722d2d664b14afc0bc26a05d78fe(cur2, x2):
x, cur = x2, cur2
getNext = True
return cur
def func_136b904c164945bfb7ee1bf9c8d399d5(cur2, x2):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
return s
def func_d1f2e3d6d41140b6a7170884e25d2125(cur2, x2):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
return cur
def func_54fbc9917752419c94c2146b46d67b10(cur2, x2):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
return x
def func_798c3d87e552476ba77b8bda9242f04c(cur2, x2):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
return s0
def func_a01ef20960f14f8ab7099ac03f8d8385(cur2, x2):
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
return getNext
def func_fd2099b5990d4eb49228d99badbd146b(cur2, x2):
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
return x
def func_80807201418d415384f48f4dc35d76f8(cur2, x2):
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
return s0
def func_95233005a0404ee295ac504ee0b07917(cur2, x2):
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
return cur
def func_ca3ae29f9f3b499ea67c2addfabf08f5(cur2, x2):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
return getNext
def func_c3fd5fec35ba49cb8232662e2da76725(cur2, x2):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
return x
def func_f1ea9c72ea3c45479dbc93fd7fc9352f(cur2, x2):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
return s0
def func_1b81df963f414991a5df0774d23e3d12(cur2, x2):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
return s
def func_22bbec8abc6241e1946d4b47660f65ce(cur2, x2):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
return cur
def func_9e5648c3e98a4cec8a4dc52ad78c067b(cur2, x, cur, x2, s):
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
return ratio
def func_558b5fb6be3941faa30aaf692330673d(cur2, x, cur, x2, s):
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
return cur1
def func_0439e05343a545ea81117f797922bad0(cur2, x, x2, s):
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
return ratio
def func_b254df6b6e3640ccb9bb2bdb2f8e828f(cur2, x, x2, s):
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
return cur
def func_6ed8f33a3647429ab3129b20547e829f(cur2, ratio, s, cur1):
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
return x
def func_7e80889e00aa45e0b77513961e85c1d2(cur2, ratio, s, cur1):
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
return cur
def func_5102dfbff3674ceebd651cc40fecab8e(cur, s, cur1):
x += s / (cur + cur1)
s0 += s
return s0
def func_331d97a1f9f147da9d602dfa7195a7ea(cur, s, cur1):
x += s / (cur + cur1)
s0 += s
return x
def func_77f5e4c3ef44480eb5e66d50368f36d5():
s0 += s
s = 0
return s0
def func_62579a5cbd4140b09656bb11ca84beb4():
s0 += s
s = 0
return s
def func_7df279586a51418db8a4e002e3b16399():
s = 0
getNext = False
return getNext
def func_217562f0344e47a9ada3552389c2f767():
s = 0
getNext = False
return s
def func_1d61fef3053242f48bf38f10612f1af8(cur2, x, x2, s):
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
return cur
def func_28900a3fa6fd4386bee866565f513332(cur2, x, x2, s):
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
return cur1
def func_283a39f9c9a74beaafa0ec0932dbb280(cur2, x, x2, s):
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
return ratio
def func_ee54ef6d536549d494f63f950d399c8f(cur2, x2, s, cur1):
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
return ratio
def func_bdc3399fba7b429da02575ac8b3ba698(cur2, x2, s, cur1):
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
return cur
def func_1e1d75cb6a4642b39946bfabacaaa809(cur2, x2, s, cur1):
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
return x
def func_784948ecbfea4ac490c3b2052a1d698a(cur2, ratio, s, cur1):
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
return x
def func_661698c80b7a4f0d815e6e2251184fed(cur2, ratio, s, cur1):
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
return cur
def func_26bcc507d2a144e7bcf9571a6a52d1a3(cur2, ratio, s, cur1):
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
return s0
def func_fd0a0a04727d491085afa279c6fe0d48(cur, cur1):
x += s / (cur + cur1)
s0 += s
s = 0
return x
def func_14cf4843332547b2896bccb882686ff7(cur, cur1):
x += s / (cur + cur1)
s0 += s
s = 0
return s
def func_e69c298997df4bf08a1508dd0b472151(cur, cur1):
x += s / (cur + cur1)
s0 += s
s = 0
return s0
def func_4e8d33a36f58489f9fe4cf5ef23c4c56():
s0 += s
s = 0
getNext = False
return s0
def func_d41e3527f04d459290392169ab214c52():
s0 += s
s = 0
getNext = False
return getNext
def func_bc3fe177f25b4017a499e599db3cb658():
s0 += s
s = 0
getNext = False
return s
def func_4954514efd134166ab1a3cd52861561e(cur2, x2, s):
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
return cur1
def func_37688aa13b17431db559e98af23c2b05(cur2, x2, s):
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
return ratio
def func_6e2bc94279474a47b8f0318476f83c67(cur2, x2, s):
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
return cur
def func_9b80c26d94f247e5a9bde3a8f6d188b7(cur2, x2, s):
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
return x
def func_bbe847d7c9d94d78b68919cadb132fb4(cur2, x2, s, cur1):
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
return s0
def func_7f286fec090942e992f269bb2ba5b2be(cur2, x2, s, cur1):
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
return cur
def func_92db9bd7941f4815b3c31bc74275cbec(cur2, x2, s, cur1):
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
return ratio
def func_a03953b16d4340b1ac1f6ca73ca91f12(cur2, x2, s, cur1):
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
return x
def func_a3502da5a46e4b3592e37d3cb291b191(cur2, ratio, cur1):
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
return s0
def func_a5f75082f76b49b897311e5fee491fa2(cur2, ratio, cur1):
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
return cur
def func_d4454cd066f9414ca24cb18875b0a1ee(cur2, ratio, cur1):
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
return x
def func_92f73256dd0a4ae9abb81da7cbd23722(cur2, ratio, cur1):
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
return s
def func_62cac08019844f18b432dc74293c7540(cur, cur1):
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
return s0
def func_b3aa0af693034b46b43e2e8d985c8c94(cur, cur1):
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
return x
def func_f8dbf723216d499097927ff5faf2c76e(cur, cur1):
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
return s
def func_3e327d848ae440e8b7ac546a82246a8b(cur, cur1):
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
return getNext
def func_9fe4a69b3d7a468293a587a1041c4455(cur2, x2, s):
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
return s0
def func_1de3362feaa94897aef3c018e1b42410(cur2, x2, s):
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
return cur
def func_1fbeeff38e464a0fb0374418ef6d8545(cur2, x2, s):
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
return x
def func_ce89a3469f364a8c89573410622d2e8c(cur2, x2, s):
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
return ratio
def func_e2a7a3d922924483a64564adf6c7569a(cur2, x2, s):
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
return cur1
def func_d5a21332d5b24667a02cf5637d7e7b56(cur2, x2, cur1):
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
return cur
def func_5fc892942a164eebb2e104ae13e10f9d(cur2, x2, cur1):
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
return x
def func_13ff76b1d0bb4610b7cefbf9ca1e2094(cur2, x2, cur1):
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
return s0
def func_cf8089141dff45a9b509c8a8cabb837b(cur2, x2, cur1):
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
return ratio
def func_94e2cfda292247888419d879aa4b2be6(cur2, x2, cur1):
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
return s
def func_167fe6249a124beeb953179da9effb45(cur2, ratio, cur1):
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
return getNext
def func_95f4904e61ad48ff8ee7c4881138720c(cur2, ratio, cur1):
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
return s0
def func_7f66dbf9d36945b1ad48e3b3bb2395cf(cur2, ratio, cur1):
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
return x
def func_a2bbbe739e214beaa5aa669e85440a39(cur2, ratio, cur1):
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
return cur
def func_2f61f3eb27ac4dc5a9e93dc9ff21e077(cur2, ratio, cur1):
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
return s
def func_27d696b8304046c089b963fe75df6959(cur2, x2):
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
return ratio
def func_e370013e59cd475da763dd71fd2910c3(cur2, x2):
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
return cur
def func_d04c85c6c9b2484e8962ef533cd92c58(cur2, x2):
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
return x
def func_87059362004f4cb6a70924aa5a374b3c(cur2, x2):
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
return cur1
def func_4ff0ff4e107e4b3a890def9f66f4c283(cur2, x2):
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
return s0
def func_b09d01d04c3c45809d1018f05940cd7b(cur2, x2):
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
return s
def func_c25dc498e84846eebc61bba7314bb321(cur2, x2, cur1):
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
return ratio
def func_6ad23bdf5f804529b28d0d8d4829e29d(cur2, x2, cur1):
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
return s0
def func_f4107571b33349d895e827a002ea956b(cur2, x2, cur1):
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
return cur
def func_a20c963b5eb948929b4169de52096a2f(cur2, x2, cur1):
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
return getNext
def func_86e98c405d1a42a1a74e88ba2bb3a93e(cur2, x2, cur1):
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
return x
def func_82503a6e140747af8ac268d2fff1d99b(cur2, x2, cur1):
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
return s
def func_d5bdf58637814d769c10818b9cd0c30d(cur2, x2):
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
return cur1
def func_5f5d0376172e41f885164a6354f80991(cur2, x2):
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
return cur
def func_103915850f804e0ea41ba0809eb74080(cur2, x2):
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
return getNext
def func_0a96ea82d27140e88d9c7509d07e7cd3(cur2, x2):
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
return s
def func_033d5ae693224fa0b5f928bda3aa83f1(cur2, x2):
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
return ratio
def func_4509b1bea4e44e0ca4d26d728f44fa55(cur2, x2):
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
return s0
def func_6616b4a68c1e4643b47bced5cb6fd6e9(cur2, x2):
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
return x
def func_113c705a74d942d3b13620efe9e6f1d9():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
return U
def func_e344fc68f0ff4e88a5b2e7d9b35999ee():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
return cur
def func_881c54b19d8d4c4685818b7ad0a01db3():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
return getNext
def func_fa74f799209d4cf89a19051a78c68ddb():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
return s0
def func_606cff1f2b6e4725854873074ea4232c():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
return x
def func_ee5345414958450bb0840e2f7cca01c0():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
return i
def func_89169b4215fd431c97dc5108bacba8b4():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
return turn
def func_02fdb99e5088485dac459e5bf9a77e4d():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
return w
def func_e74f032cd03a49e889a2f29bb0d8b557():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
return g
def func_b27220a64c6648c78dfd59c7ae0f8771():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
return s
def func_6006f03e55954e23a259ce24eb58af5c():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
return cur2
def func_5624bad8aada49959b94c657d8d91fb6():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
return ratio
def func_2d32eec51c2a4a05b1e7051584e3c41e():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
return j
def func_0c9d55a1a0a7487f9197ec18eefe882f():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
return it
def func_a9e1800ad36d4875a2eae46407f50cc2():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
return L
def func_7259510406ae42fa98464b9f6ad6098d():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
return x2
def func_b280f2730d1d47c6bda1aaf07f0c89ab():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
return S
def func_8a10a5a355bc4ddebc2a8b4066dc4b3b():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
return fi
def func_cc914c91665349bdbb353cd6f7cea435():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
return l
def func_044c7f418b314ac99b749af390c1cd32():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
return cur1
def func_66f9ae4e5c31457d865218f3754c4c39():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
return u
def func_fa4159d960cb4ec4b2981f92f042c73f():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
return y
def func_15de364520954b5e95ddccb1958253fc(fi):
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
return w
def func_bc7f465194784d8187cfa02f3b8d0eed(fi):
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
return u
def func_c32fa500153d4b0281338b4a02b49f99(fi):
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
return g
def func_fe994adee737458696137a80af20f071(fi):
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
return getNext
def func_4818803f05424c45af47d960fb16779c(fi):
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
return cur2
def func_eaeba367b0154a4f95d6d3d8ab3409a8(fi):
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
return x2
def func_e828967db3634beca9680e7e6af4d042(fi):
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
return U
def func_83356e339d1d4f1380097c70224110a8(fi):
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
return l
def func_2776c141588940b482e707906842e914(fi):
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
return i
def func_d7919df2b76740c89891aa12b354f7a4(fi):
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
return turn
def func_3e6368327d5541ccb93d06069195a079(fi):
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
return cur
def func_d09d7b12997146f6bee988e8d7193db2(fi):
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
return L
def func_001bd08d63b6431ea126977cfae7fe38(fi):
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
return y
def func_7860365e33784535b649879a98a075ab(fi):
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
return s
def func_a690b02f97a542a8839a19b7863cc820(fi):
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
return it
def func_86e9d2486b1e43428a8540ff9d792471(fi):
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
return S
def func_c3655414434e477c84f835ad2a3620b2(fi):
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
return j
def func_94aaa336d8754faeba3476f752052f53(fi):
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
return s0
def func_6c0fb90b917e4b7bbe2d7144f784ea62(fi):
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
return x
def func_66ce49da54064af5b3d94df4dfb0006c(fi, cur2, x2):
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
fi.close()
return s0
def func_b6e1c5ec006e4e73902ffc94065476d8(fi, cur2, x2):
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
fi.close()
return cur1
def func_cb8d67b575d54a74ac073f75ef1aa185(fi, cur2, x2):
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
fi.close()
return ratio
def func_54c1327ee7224c5ead42eaa5c5345df1(fi, cur2, x2):
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
fi.close()
return x
def func_c553f177a2b04614bf48f625fd4ef1a8(fi, cur2, x2):
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
fi.close()
return cur
def func_e5712f6de34c4990b828390c7ff538ef(fi, cur2, x2):
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
fi.close()
return s
def func_bfe2a8049e83484a93128a2d2c89ef1e(fi, cur2, x2):
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
fi.close()
return getNext
def func_95541c58ff1d481d82a55f53930454fd():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
return s0
def func_73004f0650404100850c0a9cd5017abf():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
return w
def func_7d425ce0453145d3bd86cab4f6439a01():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
return l
def func_3edf6f694e474a33a91d465900b47f37():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
return s
def func_d306e8623ef146cea7a47f01174ebc41():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
return fi
def func_bf5cd39eb4a948089a126cade36c5774():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
return cur
def func_0ca08d59da164b7f93f23396016e3f27():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
return i
def func_90a723bcf3c443669ca5b47ece2e958b():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
return L
def func_a826cc00e10543059d1dbeac9ec48a7a():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
return it
def func_a6d27de2b6f94e39b8da244a7aef6ea6():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
return S
def func_e52e72ce5b3142a9bb9a28bd76056f39():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
return turn
def func_3bef160f22df437782379799ed1f1432():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
return x
def func_1c29b9ed09af44a5b1af7de0425d17b3():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
return getNext
def func_58ccffe4f2314456928318f5bbc0c039():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
return U
def func_03e99079a59c440d8a7d14bf105a86c0():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
return u
def func_6fe3898ffb7c419d864b00fdac63f41a():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
return x2
def func_d87b6c919ccc4c3a8c52052e98e870b1():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
return y
def func_ff65b509b6d841238f48d934004fc34c():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
return g
def func_28a693ad400344a9a1b01c68bf6fb242():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
return j
def func_7127c80615584dc99a62aabfb50b3be8():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
return cur2
def func_4a1495ed989b41d3b357743217d6a5fc(fi):
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
return getNext
def func_28c997395dbb49d7b62feffd45edc09b(fi):
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
return s0
def func_a217fe5b4e9b4160a29ca4b11e6fb9f8(fi):
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
return j
def func_b1f611bbbe8a4748b2c5c6e321e1f37a(fi):
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
return w
def func_1e6534b33e6f4827be3c3675447dbe6f(fi):
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
return it
def func_212778f7104d4e779ccccd145c13739e(fi):
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
return l
def func_66fdef3a969642dc98d57a3ec685e6d0(fi):
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
return cur
def func_e0ba1094f3774818a3640314328eb4c2(fi):
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
return turn
def func_a9248f52d12b456f9a2b8c7e19317181(fi):
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
return s
def func_8ae2f067f9b84c5a9179c07bf6c03485(fi):
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
return y
def func_d0b9fb18fadf466fac81fa0a9256eb74(fi):
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
return U
def func_e1730d400e9d425587f7372be60e4101(fi):
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
return g
def func_cf075b7dbec64615af04d7fcc15b17d5(fi):
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
return i
def func_e25a01d9e22943b3875797f60d2f1e0f(fi):
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
return L
def func_d76889fb416d47728fc3d7e813772af2(fi):
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
return x
def func_0f9994f924554ddf8370045ab2efa0f0(fi):
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
return u
def func_7ca62aea70a74280b6a5cbcc823ddf9a(fi):
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
return S
def func_9b2a62607f614a9b9cc97f4e5ad160ed():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
return it
def func_fc9b47e4f9c3472ea31258c2a2250637():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
return s0
def func_733c2b37c177463fb1321534c4ad109e():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
return l
def func_2c479d85c6004f61ae4365cb505e4d38():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
return S
def func_68525a0694734f9786a722dbc69342d1():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
return g
def func_6974d33c45e04daa955b64c970a83366():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
return u
def func_97c405ea9af148e2a9451b91943c88b9():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
return i
def func_fb69d4636f4a4731b1c29e28a6b1aebd():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
return cur
def func_fdd3f2bcbd0d4d1aa1df58b46af6f517():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
return s
def func_e468b79d3496464d9e27e759d99621b1():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
return U
def func_2ea0a3ae8f4b486287b74f56713dbbb5():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
return x
def func_31d66113df394fe2b7d852a9df094fcb():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
return y
def func_0d95128e575c46a6bfb5cf97db75dcd1():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
return L
def func_ae40f9c6fd7447b5b00470cedaa1b22a():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
return getNext
def func_45e73cb9ca1b4bdf8b2bd33b3f8a253f():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
return turn
def func_85a6763be9994c9dbdad7d00b1480ead():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
return w
def func_6ba6765b8f7642f0bc9aa0d592b94ebf():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
return j
def func_0e7b3f1b4bdb410a8bf8dec4585a392b():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
return fi
def func_f42cd5ecdce5442c9a19bd095f061a60(fi):
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
return s
def func_f999de68bc0e43a9b84d8d408c25a27c(fi):
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
return turn
def func_3cedda0d4d044f9d81ceb6253bd9bc94(fi):
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
return x
def func_3dc690c471dd4e079772f46cb7cfd983(fi):
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
return getNext
def func_ac8928bbc9464194a20718c8dfd84b92(fi):
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
return u
def func_a5a7094c34d7437db0f9815dcd11e607(fi):
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
return l
def func_72f2eeee151e4708983a79c86b56c8b3(fi):
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
return i
def func_2fe1b566f17b4cb592c93ab62b8c01e0(fi):
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
return s0
def func_274b9a01162046c589cc6f360a9bef8f(fi):
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
return S
def func_87f6a94fb6b849dabec960f2745fcc1b(fi):
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
return cur
def func_bd7dbe91c86b4c3d8d7601194ae23152(fi):
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
return w
def func_dbb53429948040c186eb35bbb1aa14f2(fi):
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
return y
def func_36d489a529d04e76ac165360e532d830(fi):
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
return g
def func_7179986a6ff0467f83c2230aa8b0a939(fi):
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
return U
def func_4621265e5036405d9d10eeb2b5309e96(fi):
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
return it
def func_642ae12b69fa45c5aa84a551728f7c24(fi):
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
return L
def func_cf6c8b0748d4456f961d285b4c191cd3(fi):
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
return j
def func_c8e999d84f534486ab679a7c37e61b5d():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
return w
def func_652e654e5e3d403685f6e7e24099fdb8():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
return j
def func_b06b6a486b2e44919379764c02ba7c09():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
return cur
def func_9567bbad1b0e4b999d308066fa079055():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
return turn
def func_4f2187834f9441e1ad6d72736ceaba7a():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
return it
def func_d53947b3fe25444b838ee881b19dbd3b():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
return u
def func_48cd789395e04935a7feaaebf6005fcd():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
return getNext
def func_be2feeb5ff8c4254b6ac7f9f1ddeda4f():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
return L
def func_2c28a3e913a140fcb06dfb381dec06c2():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
return x
def func_98e65a6f333844a38d23c75581cc234b():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
return g
def func_2e556ebc4b564e50991d430197dcb0a0():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
return s
def func_b94abd4c5352453bb0df9f3467afb3e6():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
return l
def func_2b3c2af9d5b14f7cb8d469c13f765336():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
return y
def func_f4d7361db84741229bb279888894bdbd():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
return U
def func_43f0ab37f1214d409f1280a8a96422ef():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
return s0
def func_546ad407912f42cc930f08b05eceb905():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
return i
def func_62feebaa387c412eb2acf44c01412b29():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
return S
def func_348bccfe5eb54410bc0854cf8f69f711():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
return fi
def func_278d90a59ed249ee9f5f5f20a3d0e770(fi):
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
return i
def func_26da7e353f7c4b73a8998b8600e43998(fi):
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
return L
def func_a2a3eba71d47470e9fee1ebb2a892f13(fi):
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
return x
def func_d019eadda663424a84ee1a84dfeb35d3(fi):
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
return w
def func_b88df724aa5540da9d5b184f732bf2bf(fi):
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
return getNext
def func_eb60411cc51b4e769ddd569e92ffdc20(fi):
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
return j
def func_c6d804d96f504619b359fc4caa555699(fi):
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
return y
def func_ebd711f969594b33a6baaee762138675(fi):
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
return U
def func_b7828f84f4fb4884aa00ee9dbfb7524e(fi):
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
return turn
def func_70d237ba4f804854b173233676e431e0(fi):
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
return it
def func_894c5efee1bd4097bcdda723de4956f0(fi):
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
return s0
def func_ef0678d1b1484d74bf50d27fe4c9fc45(fi):
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
return s
def func_94f4937d83d541d1b09becfc9127727f(fi):
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
return g
def func_371579719c4842ada9171132a15dd3d1(fi):
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
return cur2
def func_0fb29466398240ff8c36843ec6076c8a(fi):
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
return S
def func_99b6148b978f42b182f65860037c5fc8(fi):
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
return l
def func_8707ec7864714d36a3985d75f0d1afd9(fi):
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
return cur
def func_ab9a6fc525fa470c84f9b70a9eca1a8f(fi):
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
return u
def func_c41fe8f30d8c46178404b84d0370b1b7(fi):
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
return x2
def func_090409e7c671445ba1ff7465a24060ac():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
return w
def func_46edfa1838874acb9e419a5741727867():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
return s
def func_9770296df0ba43639f36a17e282e12b2():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
return x
def func_5e9dc1da1ded4ba8a244dfc49855936e():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
return cur
def func_41e64e78ee57498e9c00733d47d0e370():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
return s0
def func_a299acbf21654c2f94b35cee26381402():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
return fi
def func_c1f1aa03c3c349e0aff3a54ebee01436():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
return L
def func_94e35872146442b4afae1559d1cb799d():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
return turn
def func_75533be61f7b46fc97b69134a0dae3b1():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
return j
def func_b128ee79f4fd4754a3610f5a3e2636b1():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
return cur2
def func_908550d62ad646f7a9f2b67be1e78665():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
return l
def func_269629250ff1491992acf8b8c4602a0e():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
return y
def func_a83e4dd5354d460f9cef0919dc6f962a():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
return it
def func_fdbd3504df184c3f977ed3083523d471():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
return g
def func_03f824d5dd5946b7a78e226815012df4():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
return i
def func_212f2e9838b5427f96d5bb0b73364a3e():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
return u
def func_3e0bf59967074eaf8b1ddf2ccaa87682():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
return S
def func_10d4c6e822564ba1a1106c58dbcc7b5e():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
return x2
def func_3474b76f998d44e69f3f75b479b29e73():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
return U
def func_1b00fe5a4a2a48bba0e9bb7c3eb83526():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
return getNext
def func_10a0e325a867490e832dfa95cbe5d87e(fi):
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
return S
def func_6099ee6889a94a738b6431f7e5ebb09a(fi):
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
return g
def func_9ef07a233065496781d31e58ec9814bb(fi):
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
return w
def func_78f9561c1ad744bb8ffadff33cbbd034(fi):
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
return U
def func_41900d090ff947d795eeea2b49abe00e(fi):
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
return cur1
def func_c53abe62f6fe414d8bb3c8db96bbd508(fi):
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
return x2
def func_fb00f82ae008477da41d309cfee24b85(fi):
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
return ratio
def func_c8db70fbaaad4cb68147186e932ed359(fi):
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
return i
def func_58fe2bb483794e1ab49ef39e6cd8e2e3(fi):
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
return u
def func_ea8fa071a9624d8d94499e3c2d32634c(fi):
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
return L
def func_891b94d072bf42e8bb25bf269e6d9245(fi):
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
return x
def func_0f6182c720b646d799208b7b49e48050(fi):
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
return s0
def func_15be6f302ecc4f528db7a31ac8e33420(fi):
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
return j
def func_8dd845bc0529492b84a542fdd784b94e(fi):
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
return y
def func_650d2e048dce455f80050300205b44a3(fi):
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
return cur
def func_a5e02fd2242e4ddb9c4d371510b96537(fi):
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
return turn
def func_68c72d8539b64d64825543d44c552f6d(fi):
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
return getNext
def func_472c422546bc497eb9c62500f97552be(fi):
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
return cur2
def func_62c8497cad3f4e3599cf91ced533338e(fi):
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
return s
def func_971cb5990a164414affd767ac67f860f(fi):
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
return it
def func_9a5a6ec3a23e4e1bac0063dcec5db624(fi):
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
return l
def func_f65b808cb4d44326a6b9ba3300983cec():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
return y
def func_0ca92b973cc14390be6fe2717cd52700():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
return s0
def func_ee344981e66344d5a74db77fb1ea4b5d():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
return x
def func_35f76574b1284f86ab1da3070229e3ba():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
return l
def func_efbcd9c6a9504a3c83f2e82fcb70a84e():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
return fi
def func_d2de55e1b1cb49d2b016a264c373cb8b():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
return ratio
def func_2348ce08abb7487fa4a51055695d4f02():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
return cur2
def func_24a22af08b0244c98c49a83fb8f98d56():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
return S
def func_95e1cdade0924f5d8e87939c4e658964():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
return it
def func_2dc6e729547048e485b3123f316226d3():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
return j
def func_b85843d5176641a4a111197611d1d1be():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
return cur
def func_ff22701dd5e54bf8a1257b8fadb32e7e():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
return L
def func_b713c5554c0a4adf9140218c09caf50f():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
return s
def func_39cfb420c84b40449f23d415bbddf260():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
return x2
def func_fe082976911c46f1aed79ccb5855b488():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
return w
def func_b757de16327e4cebb8005446408875e6():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
return i
def func_a71023b4f63045ea9c182e31eb95d09c():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
return turn
def func_ab21171bcf1f4b819401aadb4cce53ce():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
return cur1
def func_d78c625bf99a491087a036fba5fb9917():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
return u
def func_df09f4e144a34ff09fd5c9b66c2e94f0():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
return getNext
def func_720066f2abaf49bc8378dc02f1c9fa0c():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
return g
def func_720f90c8dfa64cf9804ede3cb1a63551():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
return U
def func_81ef59ca9fbf453197d7179338bff7f7(fi):
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
fi.close()
return l
def func_aa820b7d7278414bb0d09b14bda5e05c(fi):
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
fi.close()
return turn
def func_de887eee00f443e4bb64739738f2ec3f(fi):
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
fi.close()
return s
def func_3fd17d9dbbfa4385a7dd92733b673a2b(fi):
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
fi.close()
return x2
def func_71e2f7b397cc42f79c95100f5607950b(fi):
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
fi.close()
return y
def func_4bfc808a422241e9b2cf1a4f94106155(fi):
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
fi.close()
return S
def func_715500c462584c1fabbede6a35f51274(fi):
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
fi.close()
return cur
def func_a367312e4b3740b79d5d1b41357e3414(fi):
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
fi.close()
return g
def func_94b0f416b74a471381b40d4330b70b4f(fi):
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
fi.close()
return i
def func_4cfea70c821a42a2948161ee58d3cb9d(fi):
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
fi.close()
return cur2
def func_d9c9160248a14d6886c9589aabc720ab(fi):
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
fi.close()
return s0
def func_862d01855108411c8ea15308133b7280(fi):
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
fi.close()
return U
def func_72978aae85044d958f8fe7eb93dc445c(fi):
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
fi.close()
return L
def func_72c0a69e787a4555b34741f248d9870e(fi):
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
fi.close()
return getNext
def func_7804c67c5d32400391c5fc9c2c551672(fi):
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
fi.close()
return w
def func_00dd78c2bf55401ba1801b48ffd7bcea(fi):
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
fi.close()
return cur1
def func_8dcfabcdbf714f37a606b81e7b18a619(fi):
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
fi.close()
return it
def func_e1aba73209b2420783322eb8fbdd1aad(fi):
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
fi.close()
return x
def func_95aedea08de1449b828e1ff14f7d1201(fi):
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
fi.close()
return ratio
def func_9de7126d4d974321a7bc476540fa9153(fi):
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
fi.close()
return u
def func_c3977b5f49c744fa9f042653d3e6ba55(fi):
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
fi.close()
return j
def func_77419c162e2e494785c1488bb6781b8c():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
fi.close()
return i
def func_72b6987d0f5f4f44b0650378b8da266a():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
fi.close()
return ratio
def func_91717c6820064e6791686629ca1338dc():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
fi.close()
return u
def func_38d81b9c18814fe48ee15a783d0a1d51():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
fi.close()
return s
def func_63b5976539464c3f81ceaebfafb4690e():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
fi.close()
return turn
def func_7980bc5bdfac4423901c5bdd1c660312():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
fi.close()
return it
def func_103ea6d886634a53b7dfbbc7732eece3():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
fi.close()
return cur1
def func_342b32458ea64956845f0fd20a57f7c8():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
fi.close()
return fi
def func_4873802c4e6b42c585b50f59f115b299():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
fi.close()
return j
def func_e292ea1bbdae4c7689db503a0ffdaee4():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
fi.close()
return l
def func_a16904b07cd746ef9ccfcdfde4266629():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
fi.close()
return cur2
def func_1b1076502d394c2c8b759b6f63e03cb9():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
fi.close()
return x2
def func_acb7b6e826aa4d66879ca8f03b8ed2d1():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
fi.close()
return cur
def func_3892b7ff90ce4bc7a7f83895c7dd7f82():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
fi.close()
return U
def func_2a7a8ca80ad34ffda059486ea358311a():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
fi.close()
return w
def func_03dcd56e19354c10b4f8e37f3b8bc642():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
fi.close()
return L
def func_63744e9934894a08b5b3f9e3100e73e8():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
fi.close()
return x
def func_f8ec32777c6d4bae902bd75588573165():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
fi.close()
return s0
def func_3f54e9ada1e149a9ab646a8619430a50():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
fi.close()
return g
def func_ca73986ccfc8413d87f421c6c8b72108():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
fi.close()
return y
def func_5c20586b5e1d4a2b8ffc1bad1804215a():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
fi.close()
return S
def func_27ce1419bfc54680804c7006e6e0cb9b():
fi = open('codejam/test_files/Y11R5P1/A.in')
for turn in range(int(fi.readline())):
w, l, u, g = map(int, fi.readline().split())
L, U = [], []
S = 0
for i in range(l):
x, y = map(float, fi.readline().split())
L.append((x, y))
if i > 0:
S -= (L[i][1] + L[i - 1][1]) * (L[i][0] - L[i - 1][0])
for i in range(u):
x, y = map(float, fi.readline().split())
U.append((x, y))
if i > 0:
S += (U[i][1] + U[i - 1][1]) * (U[i][0] - U[i - 1][0])
i, j = 0, 0
cur = U[0][1] - L[0][1]
x = 0
print 'Case #{0}:'.format(turn + 1)
s0 = 0
getNext = True
U.append((w + 1, 0))
L.append((w + 1, 0))
for it in range(g - 1):
s = S * 1.0 / g
while s > 0:
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
print x
if getNext:
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if x >= U[i + 1][0]:
i += 1
if x >= L[j + 1][0]:
j += 1
if U[i + 1][0] < L[j + 1][0]:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - getPos(x2, L[j], L[j + 1])
elif U[i + 1][0] > L[j + 1][0]:
x2 = L[j + 1][0]
cur2 = getPos(x2, U[i], U[i + 1]) - L[j + 1][1]
else:
x2 = U[i + 1][0]
cur2 = U[i + 1][1] - L[j + 1][1]
if s > (cur + cur2) * (x2 - x):
s -= (cur + cur2) * (x2 - x)
s0 += (cur + cur2) * (x2 - x)
x, cur = x2, cur2
getNext = True
else:
cur1 = cur
ratio = s * 1.0 / ((cur + cur2) * (x2 - x))
cur = math.sqrt(cur ** 2 - ratio * (cur ** 2 - cur2 ** 2))
x += s / (cur + cur1)
s0 += s
s = 0
getNext = False
fi.close()
return getNext
| 33.981073 | 86 | 0.307974 | 119,537 | 800,730 | 2.057882 | 0.004484 | 0.062628 | 0.072929 | 0.056506 | 0.937628 | 0.936978 | 0.936746 | 0.936616 | 0.935953 | 0.93588 | 0 | 0.131096 | 0.500554 | 800,730 | 23,563 | 87 | 33.982515 | 0.484008 | 0 | 0 | 0.979139 | 0 | 0 | 0.008778 | 0.005581 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.000088 | null | null | 0.022629 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10 |
cdc183c3b3ce3c33303f9bf1bc43681d28e15600 | 16,447 | py | Python | tests/ez_sofifa_scraper/TestFiles/player_rows.py | ericziethen/sofifa-scraper | c6e51e2f468de64a8368ef42fce8ed745d6155ac | [
"MIT"
] | null | null | null | tests/ez_sofifa_scraper/TestFiles/player_rows.py | ericziethen/sofifa-scraper | c6e51e2f468de64a8368ef42fce8ed745d6155ac | [
"MIT"
] | 9 | 2021-01-02T23:58:56.000Z | 2021-04-01T12:11:49.000Z | tests/ez_sofifa_scraper/TestFiles/player_rows.py | ericziethen/sofifa-scraper | c6e51e2f468de64a8368ef42fce8ed745d6155ac | [
"MIT"
] | null | null | null |
# Test Data, slightly modified, e.g. Given extra positions for testing
PLAYER_1_ROW_STR = """
<tr>
<td class="col-avatar">
<figure class="avatar">
<img alt="" data-src="https://cdn.sofifa.com/players/001/179/21_60.png" data-srcset="https://cdn.sofifa.com/players/001/179/21_120.png 2x, https://cdn.sofifa.com/players/001/179/21_180.png 3x" src="https://cdn.sofifa.com/players/notfound_0_60.png" data-root="https://cdn.sofifa.com/players/" data-type="player" id="1179" class="player-check">
</figure>
</td>
<td class="col-name">
<a class="tooltip" href="/player/1179/gianluigi-buffon/210019/" data-tooltip="Gianluigi Buffon">
<div class="bp3-text-overflow-ellipsis">
<img title="Italy" alt="" src="" data-src="https://cdn.sofifa.com/flags/it.png" data-srcset="https://cdn.sofifa.com/flags/it@2x.png 2x, https://cdn.sofifa.com/flags/it@3x.png 3x" class="flag"> G. Buffon
</div>
</a>
<a rel="nofollow" href="/players?pn=12">
<span class="pos pos12">GK</span>
</a>
<a rel="nofollow" href="/players?pn=16">
<span class="pos pos16">LM</span>
</a>
<a rel="nofollow" href="/players?pn=27">
<span class="pos pos27">LW</span>
</a>
</td>
<td class="col col-ae" data-col="ae">42</td>
<td class="col col-oa" data-col="oa">
<span class="bp3-tag p p-82">82</span>
</td>
<td class="col col-pt" data-col="pt">
<span class="bp3-tag p p-82">82</span>
</td>
<td class="col-name">
<div class="bp3-text-overflow-ellipsis">
<figure class="avatar avatar-sm transparent">
<img alt="" class="team" data-src="https://cdn.sofifa.com/teams/45/30.png" data-srcset="https://cdn.sofifa.com/teams/45/60.png 2x, https://cdn.sofifa.com/teams/45/90.png 3x" src="https://cdn.sofifa.com/teams/notfound_30.png" data-root="https://cdn.sofifa.com/teams/" data-type="team">
</figure>
<a href="/team/45/juventus/">Juventus Törin</a>
<div class="sub">
2019 ~ 2021</div>
</div>
</td>
<td class="col col-pi col-sort" data-col="pi">1179</td>
<td class="col col-hi" data-col="hi">192cm</td>
<td class="col col-wi" data-col="wi">92kg</td>
<td class="col col-pf" data-col="pf">Right</td>
<td class="col col-bo" data-col="bo">
<span class="bp3-tag p p-82">82</span>
</td>
<td class="col col-bp" data-col="bp">
<a rel="nofollow" href="/players?pn=0">
<span class="pos pos0">GK</span>
</a>
</td>
<td class="col col-gu" data-col="gu">
<span class="bp3-tag p p-0">0</span>
</td>
<td class="col col-jt" data-col="jt">Jul 4, 2019</td>
<td class="col col-le" data-col="le">N/A</td>
<td class="col col-vl" data-col="vl">€3.4M</td>
<td class="col col-wg" data-col="wg">€41K</td>
<td class="col col-rc" data-col="rc">€5.6M</td>
<td class="col col-ta" data-col="ta">
<span class="bp3-tag p">95</span>
</td>
<td class="col col-cr" data-col="cr">
<span class="bp3-tag p p-13">13</span>
</td>
<td class="col col-fi" data-col="fi">
<span class="bp3-tag p p-15">15</span>
</td>
<td class="col col-he" data-col="he">
<span class="bp3-tag p p-13">13</span>
</td>
<td class="col col-sh" data-col="sh">
<span class="bp3-tag p p-37">37</span>
</td>
<td class="col col-vo" data-col="vo">
<span class="bp3-tag p p-17">17</span>
</td>
<td class="col col-ts" data-col="ts">
<span class="bp3-tag p">122</span>
</td>
<td class="col col-dr" data-col="dr">
<span class="bp3-tag p p-26">26</span>
</td>
<td class="col col-cu" data-col="cu">
<span class="bp3-tag p p-20">20</span>
</td>
<td class="col col-fr" data-col="fr">
<span class="bp3-tag p p-13">13</span>
</td>
<td class="col col-lo" data-col="lo">
<span class="bp3-tag p p-35">35</span>
</td>
<td class="col col-bl" data-col="bl">
<span class="bp3-tag p p-28">28</span>
</td>
<td class="col col-to" data-col="to">
<span class="bp3-tag p">251</span>
</td>
<td class="col col-ac" data-col="ac">
<span class="bp3-tag p p-37">37</span>
</td>
<td class="col col-sp" data-col="sp">
<span class="bp3-tag p p-30">30</span>
</td>
<td class="col col-ag" data-col="ag">
<span class="bp3-tag p p-55">55</span>
</td>
<td class="col col-re" data-col="re">
<span class="bp3-tag p p-80">80</span>
</td>
<td class="col col-ba" data-col="ba">
<span class="bp3-tag p p-49">49</span>
</td>
<td class="col col-tp" data-col="tp">
<span class="bp3-tag p">243</span>
</td>
<td class="col col-so" data-col="so">
<span class="bp3-tag p p-56">56</span>
</td>
<td class="col col-ju" data-col="ju">
<span class="bp3-tag p p-71">71</span>
</td>
<td class="col col-st" data-col="st">
<span class="bp3-tag p p-34">34</span>
</td>
<td class="col col-sr" data-col="sr">
<span class="bp3-tag p p-69">69</span>
</td>
<td class="col col-ln" data-col="ln">
<span class="bp3-tag p p-13">13</span>
</td>
<td class="col col-te" data-col="te">
<span class="bp3-tag p">150</span>
</td>
<td class="col col-ar" data-col="ar">
<span class="bp3-tag p p-38">38</span>
</td>
<td class="col col-in" data-col="in">
<span class="bp3-tag p p-28">28</span>
</td>
<td class="col col-po" data-col="po">
<span class="bp3-tag p p-12">12</span>
</td>
<td class="col col-vi" data-col="vi">
<span class="bp3-tag p p-50">50</span>
</td>
<td class="col col-pe" data-col="pe">
<span class="bp3-tag p p-22">22</span>
</td>
<td class="col col-cm" data-col="cm">
<span class="bp3-tag p p-70">70</span>
</td>
<td class="col col-td" data-col="td">
<span class="bp3-tag p">35</span>
</td>
<td class="col col-ma" data-col="ma">
<span class="bp3-tag p p-13">13</span>
</td>
<td class="col col-sa" data-col="sa">
<span class="bp3-tag p p-11">11</span>
</td>
<td class="col col-sl" data-col="sl">
<span class="bp3-tag p p-11">11</span>
</td>
<td class="col col-tg" data-col="tg">
<span class="bp3-tag p">396</span>
</td>
<td class="col col-gd" data-col="gd">
<span class="bp3-tag p p-77">77</span>
</td>
<td class="col col-gh" data-col="gh">
<span class="bp3-tag p p-76">76</span>
</td>
<td class="col col-gc" data-col="gc">
<span class="bp3-tag p p-74">74</span>
</td>
<td class="col col-gp" data-col="gp">
<span class="bp3-tag p p-91">91</span>
</td>
<td class="col col-gr" data-col="gr">
<span class="bp3-tag p p-78">78</span>
</td>
<td class="col col-tt" data-col="tt">
<span class="bp3-tag p">1292</span>
</td>
<td class="col col-bs" data-col="bs">
<span class="bp3-tag p">429</span>
</td>
<td class="col col-wk" data-col="wk">2 <span class="bp3-icon bp3-icon-star">★</span>
</td>
<td class="col col-sk" data-col="sk">1<span class="bp3-icon bp3-icon-star">★</span>
</td>
<td class="col col-aw" data-col="aw">Medium</td>
<td class="col col-dw" data-col="dw">Medium</td>
<td class="col col-ir" data-col="ir">4 <span class="bp3-icon bp3-icon-star">★</span>
</td>
<td class="col col-pac" data-col="pac">
<span class="bp3-tag p p-77">77</span>
</td>
<td class="col col-sho" data-col="sho">
<span class="bp3-tag p p-76">76</span>
</td>
<td class="col col-pas" data-col="pas">
<span class="bp3-tag p p-74">74</span>
</td>
<td class="col col-dri" data-col="dri">
<span class="bp3-tag p p-78">78</span>
</td>
<td class="col col-def" data-col="def">
<span class="bp3-tag p p-33">33</span>
</td>
<td class="col col-phy" data-col="phy">
<span class="bp3-tag p p-91">91</span>
</td>
<td class="col-comment">
72</td>
</tr>
"""
PLAYER_1_ROW_STR_ALTERNATIVE_FIELDS = """
<tr>
<td class="col-avatar">
<figure class="avatar">
<img alt="" data-src="https://cdn.sofifa.com/players/001/179/21_60.png" data-srcset="https://cdn.sofifa.com/players/001/179/21_120.png 2x, https://cdn.sofifa.com/players/001/179/21_180.png 3x" src="https://cdn.sofifa.com/players/notfound_0_60.png" data-root="https://cdn.sofifa.com/players/" data-type="player" id="1179" class="player-check">
</figure>
</td>
<td class="col-name">
<a class="tooltip" href="/player/1179/gianluigi-buffon/210019/" data-tooltip="Gianluigi Buffon">
<div class="bp3-text-overflow-ellipsis">
<img title="Italy" alt="" src="" data-src="https://cdn.sofifa.com/flags/it.png" data-srcset="https://cdn.sofifa.com/flags/it@2x.png 2x, https://cdn.sofifa.com/flags/it@3x.png 3x" class="flag"> G. Buffon
</div>
</a>
<a rel="nofollow" href="/players?pn=12">
<span class="pos pos12">GK</span>
</a>
<a rel="nofollow" href="/players?pn=16">
<span class="pos pos16">LM</span>
</a>
<a rel="nofollow" href="/players?pn=27">
<span class="pos pos27">LW</span>
</a>
</td>
<td class="col col-ae" data-col="ae">42</td>
<td class="col col-oa" data-col="oa">
<span class="bp3-tag p p-82">82</span>
</td>
<td class="col col-pt" data-col="pt">
<span class="bp3-tag p p-82">82</span>
</td>
<td class="col-name">
<div class="bp3-text-overflow-ellipsis">
<figure class="avatar avatar-sm transparent">
<img alt="" class="team" data-src="https://cdn.sofifa.com/teams/45/30.png" data-srcset="https://cdn.sofifa.com/teams/45/60.png 2x, https://cdn.sofifa.com/teams/45/90.png 3x" src="https://cdn.sofifa.com/teams/notfound_30.png" data-root="https://cdn.sofifa.com/teams/" data-type="team">
</figure>
</a> Finland<div class="sub">
Free</div>
</td>
<td class="col col-pi col-sort" data-col="pi">1179</td>
<td class="col col-hi" data-col="hi">192cm</td>
<td class="col col-wi" data-col="wi">92kg</td>
<td class="col col-pf" data-col="pf">Right</td>
<td class="col col-bo" data-col="bo">
<span class="bp3-tag p p-82">82</span>
</td>
<td class="col col-bp" data-col="bp">
<a rel="nofollow" href="/players?pn=0">
<span class="pos pos0">GK</span>
</a>
</td>
<td class="col col-gu" data-col="gu">
<span class="bp3-tag p p-0">0</span>
</td>
<td class="col col-jt" data-col="jt">Jul 4, 2019</td>
<td class="col col-le" data-col="le">N/A</td>
<td class="col col-vl" data-col="vl">€3.4M</td>
<td class="col col-wg" data-col="wg">€41K</td>
<td class="col col-rc" data-col="rc">€5.6M</td>
<td class="col col-ta" data-col="ta">
<span class="bp3-tag p">95</span>
</td>
<td class="col col-cr" data-col="cr">
<span class="bp3-tag p p-13">13</span>
</td>
<td class="col col-fi" data-col="fi">
<span class="bp3-tag p p-15">15</span>
</td>
<td class="col col-he" data-col="he">
<span class="bp3-tag p p-13">13</span>
</td>
<td class="col col-sh" data-col="sh">
<span class="bp3-tag p p-37">37</span>
</td>
<td class="col col-vo" data-col="vo">
<span class="bp3-tag p p-17">17</span>
</td>
<td class="col col-ts" data-col="ts">
<span class="bp3-tag p">122</span>
</td>
<td class="col col-dr" data-col="dr">
<span class="bp3-tag p p-26">26</span>
</td>
<td class="col col-cu" data-col="cu">
<span class="bp3-tag p p-20">20</span>
</td>
<td class="col col-fr" data-col="fr">
<span class="bp3-tag p p-13">13</span>
</td>
<td class="col col-lo" data-col="lo">
<span class="bp3-tag p p-35">35</span>
</td>
<td class="col col-bl" data-col="bl">
<span class="bp3-tag p p-28">28</span>
</td>
<td class="col col-to" data-col="to">
<span class="bp3-tag p">251</span>
</td>
<td class="col col-ac" data-col="ac">
<span class="bp3-tag p p-37">37</span>
</td>
<td class="col col-sp" data-col="sp">
<span class="bp3-tag p p-30">30</span>
</td>
<td class="col col-ag" data-col="ag">
<span class="bp3-tag p p-55">55</span>
</td>
<td class="col col-re" data-col="re">
<span class="bp3-tag p p-80">80</span>
</td>
<td class="col col-ba" data-col="ba">
<span class="bp3-tag p p-49">49</span>
</td>
<td class="col col-tp" data-col="tp">
<span class="bp3-tag p">243</span>
</td>
<td class="col col-so" data-col="so">
<span class="bp3-tag p p-56">56</span>
</td>
<td class="col col-ju" data-col="ju">
<span class="bp3-tag p p-71">71</span>
</td>
<td class="col col-st" data-col="st">
<span class="bp3-tag p p-34">34</span>
</td>
<td class="col col-sr" data-col="sr">
<span class="bp3-tag p p-69">69</span>
</td>
<td class="col col-ln" data-col="ln">
<span class="bp3-tag p p-13">13</span>
</td>
<td class="col col-te" data-col="te">
<span class="bp3-tag p">150</span>
</td>
<td class="col col-ar" data-col="ar">
<span class="bp3-tag p p-38">38</span>
</td>
<td class="col col-in" data-col="in">
<span class="bp3-tag p p-28">28</span>
</td>
<td class="col col-po" data-col="po">
<span class="bp3-tag p p-12">12</span>
</td>
<td class="col col-vi" data-col="vi">
<span class="bp3-tag p p-50">50</span>
</td>
<td class="col col-pe" data-col="pe">
<span class="bp3-tag p p-22">22</span>
</td>
<td class="col col-cm" data-col="cm">
<span class="bp3-tag p p-70">70</span>
</td>
<td class="col col-td" data-col="td">
<span class="bp3-tag p">35</span>
</td>
<td class="col col-ma" data-col="ma">
<span class="bp3-tag p p-13">13</span>
</td>
<td class="col col-sa" data-col="sa">
<span class="bp3-tag p p-11">11</span>
</td>
<td class="col col-sl" data-col="sl">
<span class="bp3-tag p p-11">11</span>
</td>
<td class="col col-tg" data-col="tg">
<span class="bp3-tag p">396</span>
</td>
<td class="col col-gd" data-col="gd">
<span class="bp3-tag p p-77">77</span>
</td>
<td class="col col-gh" data-col="gh">
<span class="bp3-tag p p-76">76</span>
</td>
<td class="col col-gc" data-col="gc">
<span class="bp3-tag p p-74">74</span>
</td>
<td class="col col-gp" data-col="gp">
<span class="bp3-tag p p-91">91</span>
</td>
<td class="col col-gr" data-col="gr">
<span class="bp3-tag p p-78">78</span>
</td>
<td class="col col-tt" data-col="tt">
<span class="bp3-tag p">1292</span>
</td>
<td class="col col-bs" data-col="bs">
<span class="bp3-tag p">429</span>
</td>
<td class="col col-wk" data-col="wk">2 <span class="bp3-icon bp3-icon-star">★</span>
</td>
<td class="col col-sk" data-col="sk">1<span class="bp3-icon bp3-icon-star">★</span>
</td>
<td class="col col-aw" data-col="aw">Medium</td>
<td class="col col-dw" data-col="dw">Medium</td>
<td class="col col-ir" data-col="ir">4 <span class="bp3-icon bp3-icon-star">★</span>
</td>
<td class="col col-pac" data-col="pac">
<span class="bp3-tag p p-77">77</span>
</td>
<td class="col col-sho" data-col="sho">
<span class="bp3-tag p p-76">76</span>
</td>
<td class="col col-pas" data-col="pas">
<span class="bp3-tag p p-74">74</span>
</td>
<td class="col col-dri" data-col="dri">
<span class="bp3-tag p p-78">78</span>
</td>
<td class="col col-def" data-col="def">
<span class="bp3-tag p p-33">33</span>
</td>
<td class="col col-phy" data-col="phy">
<span class="bp3-tag p p-91">91</span>
</td>
<td class="col-comment">
72</td>
</tr>
"""
| 35.522678 | 354 | 0.541375 | 2,849 | 16,447 | 3.120393 | 0.07722 | 0.114961 | 0.164229 | 0.194376 | 0.980427 | 0.980427 | 0.980427 | 0.980427 | 0.980427 | 0.980427 | 0 | 0.061769 | 0.230255 | 16,447 | 462 | 355 | 35.599567 | 0.639968 | 0.004134 | 0 | 0.983945 | 0 | 0.055046 | 0.995414 | 0.074228 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 |
cdd13450510a4f9bc265daa22d3571d20e41a301 | 33,183 | py | Python | verilog/wishbone/slave/wb_sd_host/cocotb/test_dut.py | CospanDesign/nysa-verilog | cfd576c7b188dce0de6c55d43ec5b60e231dc389 | [
"MIT"
] | 24 | 2016-09-15T16:14:39.000Z | 2020-11-26T15:19:24.000Z | verilog/wishbone/slave/wb_sd_host/cocotb/test_dut.py | CospanDesign/nysa-verilog | cfd576c7b188dce0de6c55d43ec5b60e231dc389 | [
"MIT"
] | 1 | 2020-05-15T13:32:59.000Z | 2020-05-15T13:32:59.000Z | verilog/wishbone/slave/wb_sd_host/cocotb/test_dut.py | CospanDesign/nysa-verilog | cfd576c7b188dce0de6c55d43ec5b60e231dc389 | [
"MIT"
] | 19 | 2016-03-29T23:56:55.000Z | 2021-09-16T08:23:41.000Z | # Simple tests for an adder module
import os
import sys
import cocotb
import logging
from cocotb.result import TestFailure
from nysa.host.sim.sim_host import NysaSim
from cocotb.clock import Clock
import time
from array import array as Array
from nysa.host.driver.sd_host_driver import SDHostException
from nysa.host.driver.sd_host_driver import SDHostDriver
from nysa.host.driver.sdio_device_driver import SDIODeviceDriver
import json
from nysa.tools.nysa_paths import get_verilog_path
SDIO_PATH = "path to sdio-device interface"
SIM_CONFIG = "sim_config.json"
CLK_PERIOD = 10
MODULE_PATH = os.path.join(os.path.dirname(__file__), os.pardir, "rtl")
MODULE_PATH = os.path.abspath(MODULE_PATH)
interrupt_called = False
data_is_ready = False
def setup_dut(dut):
cocotb.fork(Clock(dut.in_clk, CLK_PERIOD).start())
dut.request_interrupt = 0
global interrupt_called
interrupt_called = False
global data_is_ready
data_is_ready = False
@cocotb.test(skip = True)
def first_test(dut):
"""
Description:
Very Basic Functionality
Startup Nysa
Test ID: 0
Expected Results:
Write to all registers
"""
dut.test_id = 0
#print "module path: %s" % MODULE_PATH
nysa = NysaSim(dut, SIM_CONFIG, CLK_PERIOD, user_paths = [MODULE_PATH])
setup_dut(dut)
yield(nysa.reset())
nysa.read_sdb()
yield (nysa.wait_clocks(10))
nysa.pretty_print_sdb()
#sdhost = SDHostDriver(nysa, nysa.find_device(SDHostDriver)[0])
sdhost = yield cocotb.external(SDHostDriver)(nysa, nysa.find_device(SDHostDriver)[0])
sddev = yield cocotb.external(SDIODeviceDriver)(nysa, nysa.find_device(SDIODeviceDriver)[0])
yield (nysa.wait_clocks(200))
yield cocotb.external(sddev.enable_sdio_device)(False)
yield (nysa.wait_clocks(100))
yield cocotb.external(sddev.reset_core)()
yield (nysa.wait_clocks(100))
yield cocotb.external(sddev.enable_sdio_device)(True)
yield (nysa.wait_clocks(100))
v = yield cocotb.external(sdhost.get_control)()
dut.log.debug("V: %d" % v)
dut.log.debug("DUT Opened!")
dut.log.debug("Ready")
test_data = [0x00, 0x01, 0x02, 0x03]
yield cocotb.external(nysa.write_memory)(0x00, test_data)
yield (nysa.wait_clocks(10))
dut.log.debug("Wrote %s to memory" % (test_data))
data = yield cocotb.external(nysa.read_memory)(0x00, 1)
dut.log.debug("Read back %s from memory" % test_data)
fail = False
for i in range(len(data)):
if data[i] != test_data[i]:
raise TestFailure("Data into memory != Data out of memory: %s != %s" %
(print_hex_array(test_data), print_hex_array(data)))
@cocotb.test(skip = True)
def send_simple_command(dut):
"""
Description:
Initiate an SD transaction
Test ID: 1
Expected Results:
Enable an SD Transaction
"""
dut.test_id = 1
SDIO_PATH = get_verilog_path("sdio-device")
sdio_config = os.path.join(SDIO_PATH, "sdio_configuration.json")
config = None
with open (sdio_config, "r") as f:
dut.log.warning("Run %s before running this function" % os.path.join(SDIO_PATH, "tools", "generate_config.py"))
config = json.load(f)
#print "SDIO PATH: %s" % SDIO_PATH
#print "module path: %s" % MODULE_PATH
nysa = NysaSim(dut, SIM_CONFIG, CLK_PERIOD, user_paths = [MODULE_PATH])
setup_dut(dut)
yield(nysa.reset())
nysa.read_sdb()
yield (nysa.wait_clocks(10))
nysa.pretty_print_sdb()
#sdhost = SDHostDriver(nysa, nysa.find_device(SDHostDriver)[0])
sdhost = yield cocotb.external(SDHostDriver)(nysa, nysa.find_device(SDHostDriver)[0])
sddev = yield cocotb.external(SDIODeviceDriver)(nysa, nysa.find_device(SDIODeviceDriver)[0])
yield (nysa.wait_clocks(200))
yield cocotb.external(sddev.enable_sdio_device)(False)
yield (nysa.wait_clocks(100))
yield cocotb.external(sddev.reset_core)()
yield (nysa.wait_clocks(100))
yield cocotb.external(sddev.enable_sdio_device)(True)
yield (nysa.wait_clocks(100))
sdhost.set_voltage_range(2.0, 3.6)
yield cocotb.external(sdhost.enable_sd_host)(True)
yield (nysa.wait_clocks(100))
yield cocotb.external(sdhost.cmd_phy_sel)()
yield cocotb.external(sdhost.cmd_io_send_op_cond)(enable_1p8v = False)
if dut.s2.sdio_device.card_controller.v1p8_sel.value.get_value() == True:
raise TestFailure ("1.8V Switch Voltage Before Request")
yield cocotb.external(sdhost.cmd_io_send_op_cond)(enable_1p8v = True)
if dut.s2.sdio_device.card_controller.v1p8_sel.value.get_value() == False:
raise TestFailure ("Failed to set 1.8V Switch Voltage Request")
yield cocotb.external(sdhost.cmd_get_relative_card_address)()
if dut.s2.sdio_device.card_controller.state.value.get_value() != 2:
raise TestFailure ("Card Should Be In Standby State Right Now")
yield cocotb.external(sdhost.cmd_enable_card)(True)
if dut.s2.sdio_device.card_controller.state.value.get_value() != 3:
raise TestFailure ("Card Should Be In Command State Right Now")
yield cocotb.external(sdhost.cmd_enable_card)(False)
if dut.s2.sdio_device.card_controller.state.value.get_value() != 2:
raise TestFailure ("Card Should Be In Standby State Right Now")
yield cocotb.external(sdhost.cmd_go_inactive_state)()
if dut.s2.sdio_device.card_controller.state.value.get_value() != 5:
raise TestFailure ("Card Should Be In Standby State Right Now")
yield (nysa.wait_clocks(20))
@cocotb.test(skip = True)
def send_byte_test(dut):
"""
Description:
Initiate an SD transaction
Test ID: 2
Expected Results:
Single Data Write
"""
dut.test_id = 2
SDIO_PATH = get_verilog_path("sdio-device")
sdio_config = os.path.join(SDIO_PATH, "sdio_configuration.json")
config = None
with open (sdio_config, "r") as f:
dut.log.warning("Run %s before running this function" % os.path.join(SDIO_PATH, "tools", "generate_config.py"))
config = json.load(f)
#print "SDIO PATH: %s" % SDIO_PATH
#print "module path: %s" % MODULE_PATH
nysa = NysaSim(dut, SIM_CONFIG, CLK_PERIOD, user_paths = [MODULE_PATH])
setup_dut(dut)
yield(nysa.reset())
nysa.read_sdb()
yield (nysa.wait_clocks(10))
#nysa.pretty_print_sdb()
#sdhost = SDHostDriver(nysa, nysa.find_device(SDHostDriver)[0])
sdhost = yield cocotb.external(SDHostDriver)(nysa, nysa.find_device(SDHostDriver)[0])
sddev = yield cocotb.external(SDIODeviceDriver)(nysa, nysa.find_device(SDIODeviceDriver)[0])
yield (nysa.wait_clocks(200))
yield cocotb.external(sddev.enable_sdio_device)(False)
yield (nysa.wait_clocks(100))
yield cocotb.external(sddev.reset_core)()
yield (nysa.wait_clocks(100))
yield cocotb.external(sddev.enable_sdio_device)(True)
yield (nysa.wait_clocks(100))
#Enable SDIO
yield cocotb.external(sdhost.enable_sd_host)(True)
yield cocotb.external(sdhost.cmd_io_send_op_cond)(enable_1p8v = True)
if dut.s2.sdio_device.card_controller.v1p8_sel.value.get_value() == False:
raise TestFailure ("Failed to set 1.8V Switch Voltage Request")
yield cocotb.external(sdhost.cmd_get_relative_card_address)()
if dut.s2.sdio_device.card_controller.state.value.get_value() != 2:
raise TestFailure ("Card Should Be In Standby State Right Now")
yield cocotb.external(sdhost.cmd_enable_card)(True)
if dut.s2.sdio_device.card_controller.state.value.get_value() != 3:
raise TestFailure ("Card Should Be In Command State Right Now")
yield cocotb.external(sdhost.write_config_byte)(0x02, 0x01)
if dut.s2.sdio_device.cia.cccr.o_func_enable.value.get_value() != 1:
raise TestFailure ("Failed to write configuration byte to CCCR Memory Space")
yield (nysa.wait_clocks(1000))
@cocotb.test(skip = True)
def receive_byte_test(dut):
"""
Description:
Initiate an SD transaction
Test ID: 3
Expected Results:
Single Data Read
"""
dut.test_id = 3
SDIO_PATH = get_verilog_path("sdio-device")
sdio_config = os.path.join(SDIO_PATH, "sdio_configuration.json")
config = None
with open (sdio_config, "r") as f:
dut.log.warning("Run %s before running this function" % os.path.join(SDIO_PATH, "tools", "generate_config.py"))
config = json.load(f)
#print "SDIO PATH: %s" % SDIO_PATH
#print "module path: %s" % MODULE_PATH
nysa = NysaSim(dut, SIM_CONFIG, CLK_PERIOD, user_paths = [MODULE_PATH])
setup_dut(dut)
yield(nysa.reset())
nysa.read_sdb()
yield (nysa.wait_clocks(10))
#nysa.pretty_print_sdb()
#sdhost = SDHostDriver(nysa, nysa.find_device(SDHostDriver)[0])
sdhost = yield cocotb.external(SDHostDriver)(nysa, nysa.find_device(SDHostDriver)[0])
sddev = yield cocotb.external(SDIODeviceDriver)(nysa, nysa.find_device(SDIODeviceDriver)[0])
yield (nysa.wait_clocks(200))
yield cocotb.external(sddev.enable_sdio_device)(False)
yield (nysa.wait_clocks(100))
yield cocotb.external(sddev.reset_core)()
yield (nysa.wait_clocks(100))
yield cocotb.external(sddev.enable_sdio_device)(True)
yield (nysa.wait_clocks(100))
#Enable SDIO
yield cocotb.external(sdhost.enable_sd_host)(True)
yield cocotb.external(sdhost.cmd_io_send_op_cond)(enable_1p8v = True)
yield cocotb.external(sdhost.cmd_get_relative_card_address)()
yield cocotb.external(sdhost.cmd_enable_card)(True)
value = yield cocotb.external(sdhost.read_config_byte)(0x00)
if value != 0x43:
raise TestFailure("Failed to Read Configuration Byte at Address 0: bad value: 0x%02X" % value)
dut.log.debug("Read value: 0x%02X" % value)
value = yield cocotb.external(sdhost.read_config_byte)(0x01)
if value != 0x03:
raise TestFailure("Failed to Read Configuration Byte at Address 1: bad value: 0x%02X" % value)
dut.log.debug("Read value: 0x%02X" % value)
value = yield cocotb.external(sdhost.read_config_byte)(0x02)
if value != 0x00:
raise TestFailure("Failed to Read Configuration Byte at Address 2: bad value: 0x%02X" % value)
dut.log.debug("Read value: 0x%02X" % value)
yield (nysa.wait_clocks(1000))
@cocotb.test(skip = True)
def small_multi_byte_data_write(dut):
"""
Description:
Perform a small write on the data bus
Test ID: 4
Expected Results:
Multi byte data transfer, this will use the data bus, not FIFO mode
"""
dut.test_id = 4
SDIO_PATH = get_verilog_path("sdio-device")
sdio_config = os.path.join(SDIO_PATH, "sdio_configuration.json")
config = None
with open (sdio_config, "r") as f:
dut.log.warning("Run %s before running this function" % os.path.join(SDIO_PATH, "tools", "generate_config.py"))
config = json.load(f)
#print "SDIO PATH: %s" % SDIO_PATH
#print "module path: %s" % MODULE_PATH
nysa = NysaSim(dut, SIM_CONFIG, CLK_PERIOD, user_paths = [MODULE_PATH])
setup_dut(dut)
yield(nysa.reset())
nysa.read_sdb()
yield (nysa.wait_clocks(10))
#nysa.pretty_print_sdb()
#sdhost = SDHostDriver(nysa, nysa.find_device(SDHostDriver)[0])
sdhost = yield cocotb.external(SDHostDriver)(nysa, nysa.find_device(SDHostDriver)[0])
sddev = yield cocotb.external(SDIODeviceDriver)(nysa, nysa.find_device(SDIODeviceDriver)[0])
yield (nysa.wait_clocks(200))
yield cocotb.external(sddev.enable_sdio_device)(False)
yield (nysa.wait_clocks(100))
yield cocotb.external(sddev.reset_core)()
yield (nysa.wait_clocks(100))
yield cocotb.external(sddev.enable_sdio_device)(True)
yield (nysa.wait_clocks(100))
#Enable SDIO
yield cocotb.external(sdhost.enable_sd_host)(True)
yield cocotb.external(sdhost.cmd_io_send_op_cond)(enable_1p8v = True)
yield cocotb.external(sdhost.cmd_get_relative_card_address)()
yield cocotb.external(sdhost.cmd_enable_card)(True)
#data = Array ('B', [0x01, 0x02, 0x03, 0x04, 0x05, 0x06, 0x07])
data = Array ('B')
for i in range (8):
value = i % 256
data.append(value)
yield cocotb.external(sdhost.write_sd_data)(0, 0x00, data, fifo_mode = False, read_after_write = False)
value = dut.s2.sdio_device.cia.cccr.o_func_enable.value.get_value()
if value != 0x02:
raise TestFailure ("Failed to write configuration byte to CCCR Memory Space: Should be 0x02 is: 0x%02X" % value)
value = dut.s2.sdio_device.cia.cccr.o_func_int_enable.value.get_value()
if value != 0x04:
raise TestFailure ("Failed to write configuration byte to CCCR Memory Space: Should be 0x04 is: 0x%02X" % value)
yield (nysa.wait_clocks(1000))
@cocotb.test(skip = True)
def small_multi_byte_data_read(dut):
"""
Description:
Perform a small read on the data bus
Test ID: 5
Expected Results:
Multi byte data transfer, this will use the data bus, not CMC mode
"""
dut.test_id = 5
SDIO_PATH = get_verilog_path("sdio-device")
sdio_config = os.path.join(SDIO_PATH, "sdio_configuration.json")
config = None
with open (sdio_config, "r") as f:
dut.log.warning("Run %s before running this function" % os.path.join(SDIO_PATH, "tools", "generate_config.py"))
config = json.load(f)
nysa = NysaSim(dut, SIM_CONFIG, CLK_PERIOD, user_paths = [MODULE_PATH])
setup_dut(dut)
yield(nysa.reset())
nysa.read_sdb()
yield (nysa.wait_clocks(10))
sdhost = yield cocotb.external(SDHostDriver)(nysa, nysa.find_device(SDHostDriver)[0])
sddev = yield cocotb.external(SDIODeviceDriver)(nysa, nysa.find_device(SDIODeviceDriver)[0])
yield (nysa.wait_clocks(200))
yield cocotb.external(sddev.enable_sdio_device)(False)
yield (nysa.wait_clocks(100))
yield cocotb.external(sddev.reset_core)()
yield (nysa.wait_clocks(100))
yield cocotb.external(sddev.enable_sdio_device)(True)
yield (nysa.wait_clocks(100))
#Enable SDIO
yield cocotb.external(sdhost.enable_sd_host)(True)
yield cocotb.external(sdhost.cmd_io_send_op_cond)(enable_1p8v = True)
yield cocotb.external(sdhost.cmd_get_relative_card_address)()
yield cocotb.external(sdhost.cmd_enable_card)(True)
data = yield cocotb.external(sdhost.read_sd_data)( function_id = 0,
address = 0x00,
byte_count = 8,
fifo_mode = False)
#print "data: %s" % print_hex_array(data)
fail = False
test_data = Array('B', [0x43, 0x03, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00])
for i in range (len(data)):
if data[i] != test_data[i]:
fail = True
break
if fail:
raise TestFailure("Multi-Byte Read incorrect: %s != %s" % (print_hex_array(test_data), print_hex_array(data)))
yield (nysa.wait_clocks(1000))
@cocotb.test(skip = True)
def data_block_write(dut):
"""
Description:
Perform a block write
Test ID: 6
Expected Results:
Block Transfer (Write)
"""
dut.test_id = 6
FUNCTION = 1
ADDRESS = 0x00
BLOCK_SIZE = 0x08
SIZE = 0x10
SDIO_PATH = get_verilog_path("sdio-device")
sdio_config = os.path.join(SDIO_PATH, "sdio_configuration.json")
config = None
with open (sdio_config, "r") as f:
dut.log.warning("Run %s before running this function" % os.path.join(SDIO_PATH, "tools", "generate_config.py"))
config = json.load(f)
nysa = NysaSim(dut, SIM_CONFIG, CLK_PERIOD, user_paths = [MODULE_PATH])
setup_dut(dut)
yield(nysa.reset())
nysa.read_sdb()
yield (nysa.wait_clocks(10))
sdhost = yield cocotb.external(SDHostDriver)(nysa, nysa.find_device(SDHostDriver)[0])
sddev = yield cocotb.external(SDIODeviceDriver)(nysa, nysa.find_device(SDIODeviceDriver)[0])
yield (nysa.wait_clocks(200))
yield cocotb.external(sddev.enable_sdio_device)(False)
yield (nysa.wait_clocks(100))
yield cocotb.external(sddev.reset_core)()
yield (nysa.wait_clocks(100))
yield cocotb.external(sddev.enable_sdio_device)(True)
yield (nysa.wait_clocks(100))
#Enable SDIO
yield cocotb.external(sdhost.enable_sd_host)(True)
yield cocotb.external(sdhost.cmd_io_send_op_cond)(enable_1p8v = True)
yield cocotb.external(sdhost.cmd_get_relative_card_address)()
yield cocotb.external(sdhost.cmd_enable_card)(True)
#Enable Function
yield cocotb.external(sdhost.enable_function)(FUNCTION)
yield cocotb.external(sdhost.set_function_block_size)(FUNCTION, BLOCK_SIZE)
write_data = Array ('B')
for i in range (SIZE):
value = i % 256
write_data.append(value)
yield cocotb.external(sdhost.write_sd_data)(FUNCTION, ADDRESS, write_data, fifo_mode = False, read_after_write = False)
yield (nysa.wait_clocks(2000))
read_data = yield cocotb.external(sdhost.read_sd_data)( function_id = FUNCTION,
address = ADDRESS,
byte_count = len(write_data),
fifo_mode = False)
yield (nysa.wait_clocks(2000))
fail = False
for i in range(len(write_data)):
if write_data[i] != read_data[i]:
fail = True
if fail:
raise TestFailure("Block Write Transfer Failed, %s != %s" % (print_hex_array(write_data), print_hex_array(read_data)))
@cocotb.test(skip = True)
def data_block_read(dut):
"""
Description:
Perform a block read
Test ID: 7
Expected Results:
Block Transfer (Read)
"""
dut.test_id = 7
BLOCK_SIZE = 0x08
SIZE = 0x10
FUNCTION = 0
ADDRESS = 0x00
SDIO_PATH = get_verilog_path("sdio-device")
sdio_config = os.path.join(SDIO_PATH, "sdio_configuration.json")
config = None
with open (sdio_config, "r") as f:
dut.log.warning("Run %s before running this function" % os.path.join(SDIO_PATH, "tools", "generate_config.py"))
config = json.load(f)
nysa = NysaSim(dut, SIM_CONFIG, CLK_PERIOD, user_paths = [MODULE_PATH])
setup_dut(dut)
yield(nysa.reset())
nysa.read_sdb()
yield (nysa.wait_clocks(10))
sdhost = yield cocotb.external(SDHostDriver)(nysa, nysa.find_device(SDHostDriver)[0])
sddev = yield cocotb.external(SDIODeviceDriver)(nysa, nysa.find_device(SDIODeviceDriver)[0])
yield (nysa.wait_clocks(200))
yield cocotb.external(sddev.enable_sdio_device)(False)
yield (nysa.wait_clocks(100))
yield cocotb.external(sddev.reset_core)()
yield (nysa.wait_clocks(100))
yield cocotb.external(sddev.enable_sdio_device)(True)
yield (nysa.wait_clocks(100))
#Enable SDIO
yield cocotb.external(sdhost.enable_sd_host)(True)
yield cocotb.external(sdhost.cmd_io_send_op_cond)(enable_1p8v = True)
yield cocotb.external(sdhost.cmd_get_relative_card_address)()
yield cocotb.external(sdhost.cmd_enable_card)(True)
yield cocotb.external(sdhost.set_function_block_size)(FUNCTION, BLOCK_SIZE)
data = yield cocotb.external(sdhost.read_sd_data)(FUNCTION, ADDRESS, SIZE, fifo_mode = False)
print "Data: %s" % print_hex_array(data)
yield (nysa.wait_clocks(2000))
@cocotb.test(skip = True)
def data_async_block_read(dut):
"""
Description:
Perform a block read using asynchronous transfer
Test ID: 8
Expected Results:
Block Transfer (Read)
"""
dut.test_id = 8
ADDRESS = 0x00
FUNCTION = 1
BLOCK_SIZE = 0x08
SIZE = 0x10
SDIO_PATH = get_verilog_path("sdio-device")
sdio_config = os.path.join(SDIO_PATH, "sdio_configuration.json")
config = None
with open (sdio_config, "r") as f:
dut.log.warning("Run %s before running this function" % os.path.join(SDIO_PATH, "tools", "generate_config.py"))
config = json.load(f)
nysa = NysaSim(dut, SIM_CONFIG, CLK_PERIOD, user_paths = [MODULE_PATH])
setup_dut(dut)
yield(nysa.reset())
nysa.read_sdb()
yield (nysa.wait_clocks(10))
sdhost = yield cocotb.external(SDHostDriver)(nysa, nysa.find_device(SDHostDriver)[0])
sddev = yield cocotb.external(SDIODeviceDriver)(nysa, nysa.find_device(SDIODeviceDriver)[0])
yield (nysa.wait_clocks(200))
yield cocotb.external(sddev.enable_sdio_device)(False)
yield (nysa.wait_clocks(100))
yield cocotb.external(sddev.reset_core)()
yield (nysa.wait_clocks(100))
yield cocotb.external(sddev.enable_sdio_device)(True)
yield (nysa.wait_clocks(100))
#Enable SDIO
yield cocotb.external(sdhost.enable_sd_host)(True)
yield cocotb.external(sdhost.cmd_io_send_op_cond)(enable_1p8v = True)
yield cocotb.external(sdhost.cmd_get_relative_card_address)()
yield cocotb.external(sdhost.cmd_enable_card)(True)
#Enable Function
yield cocotb.external(sdhost.set_function_block_size)(FUNCTION, BLOCK_SIZE)
yield cocotb.external(sdhost.enable_function)(FUNCTION)
write_data = Array ('B')
for i in range (SIZE):
value = i % 256
write_data.append(value)
yield cocotb.external(sdhost.write_sd_data)(FUNCTION, ADDRESS, write_data, fifo_mode = False, read_after_write = False)
yield cocotb.external(sdhost.set_async_dma_reader_callback)(dma_read_callback)
yield cocotb.external(sdhost.enable_async_dma_reader)(True)
yield cocotb.external(sdhost.read_sd_data)(FUNCTION, ADDRESS, SIZE, fifo_mode = False)
dut.log.debug("Waiting for function to finish...")
yield (nysa.wait_clocks(4000))
if not data_is_ready:
raise TestFailure("Async Read Never Finished!")
read_data = sdhost.read_async_data()
dut.log.debug("Async Data: %s" % print_hex_array(read_data))
fail = False
for i in range(len(write_data)):
if write_data[i] != read_data[i]:
fail = True
if fail:
raise TestFailure("Async Block Read Transfer Failed, %s != %s" % (print_hex_array(write_data), print_hex_array(read_data)))
@cocotb.test(skip = True)
def data_async_block_read_with_read_wait(dut):
"""
Description:
Perform a block read using asynchronous transfer with read wait
Test ID: 9
Expected Results:
Block Transfer (Read)
"""
dut.test_id = 9
ADDRESS = 0x00
FUNCTION = 1
BLOCK_SIZE = 0x08
SIZE = 0x10
SDIO_PATH = get_verilog_path("sdio-device")
sdio_config = os.path.join(SDIO_PATH, "sdio_configuration.json")
config = None
with open (sdio_config, "r") as f:
dut.log.warning("Run %s before running this function" % os.path.join(SDIO_PATH, "tools", "generate_config.py"))
config = json.load(f)
nysa = NysaSim(dut, SIM_CONFIG, CLK_PERIOD, user_paths = [MODULE_PATH])
setup_dut(dut)
yield(nysa.reset())
nysa.read_sdb()
yield (nysa.wait_clocks(10))
sdhost = yield cocotb.external(SDHostDriver)(nysa, nysa.find_device(SDHostDriver)[0])
sddev = yield cocotb.external(SDIODeviceDriver)(nysa, nysa.find_device(SDIODeviceDriver)[0])
yield (nysa.wait_clocks(200))
yield cocotb.external(sddev.enable_sdio_device)(False)
yield (nysa.wait_clocks(100))
yield cocotb.external(sddev.reset_core)()
yield (nysa.wait_clocks(100))
yield cocotb.external(sddev.enable_sdio_device)(True)
yield (nysa.wait_clocks(100))
#Enable SDIO
yield cocotb.external(sdhost.enable_sd_host)(True)
yield cocotb.external(sdhost.cmd_io_send_op_cond)(enable_1p8v = True)
yield cocotb.external(sdhost.cmd_get_relative_card_address)()
yield cocotb.external(sdhost.cmd_enable_card)(True)
rw_support = yield cocotb.external(sdhost.is_read_wait_supported)()
#Enable Function
yield cocotb.external(sdhost.set_function_block_size)(FUNCTION, BLOCK_SIZE)
yield cocotb.external(sdhost.enable_function)(FUNCTION)
write_data = Array ('B')
for i in range (SIZE):
value = i % 256
write_data.append(value)
yield cocotb.external(sdhost.write_sd_data)(FUNCTION, ADDRESS, write_data, fifo_mode = False, read_after_write = False)
#XXX: Debug why this doesn't work sometimes!
#rw_support = yield cocotb.external(sdhost.is_read_wait_supported)()
yield cocotb.external(sdhost.set_async_dma_reader_callback)(dma_read_callback)
yield cocotb.external(sdhost.enable_async_dma_reader)(True)
dut.log.debug("Read Wait Supported: %s" % str(rw_support))
data = yield cocotb.external(sdhost.read_sd_data)(FUNCTION, ADDRESS, SIZE, fifo_mode = False)
dut.log.debug("Waiting for function to finish...")
dut.request_read_wait = 1;
yield (nysa.wait_clocks(2000))
dut.request_read_wait = 0;
yield (nysa.wait_clocks(3000))
if not data_is_ready:
raise TestFailure("Async Read Never Finished!")
read_data = sdhost.read_async_data()
dut.log.debug("Async Data: %s" % print_hex_array(read_data))
fail = False
for i in range(len(write_data)):
if write_data[i] != read_data[i]:
fail = True
if fail:
raise TestFailure("Async Block Read Transfer Failed, %s != %s" % (print_hex_array(write_data), print_hex_array(read_data)))
@cocotb.test(skip = True)
def detect_interrupt(dut):
"""
Description:
Detect an interrupt
Test ID: 10
Expected Results:
Block Transfer (Read)
"""
dut.test_id = 10
FUNCTION = 1
BLOCK_SIZE = 0x08
READ_SIZE = 0x18
SDIO_PATH = get_verilog_path("sdio-device")
sdio_config = os.path.join(SDIO_PATH, "sdio_configuration.json")
config = None
with open (sdio_config, "r") as f:
dut.log.warning("Run %s before running this function" % os.path.join(SDIO_PATH, "tools", "generate_config.py"))
config = json.load(f)
nysa = NysaSim(dut, SIM_CONFIG, CLK_PERIOD, user_paths = [MODULE_PATH])
setup_dut(dut)
yield(nysa.reset())
nysa.read_sdb()
yield (nysa.wait_clocks(10))
sdhost = yield cocotb.external(SDHostDriver)(nysa, nysa.find_device(SDHostDriver)[0])
sddev = yield cocotb.external(SDIODeviceDriver)(nysa, nysa.find_device(SDIODeviceDriver)[0])
yield (nysa.wait_clocks(200))
yield cocotb.external(sddev.enable_sdio_device)(False)
yield (nysa.wait_clocks(100))
yield cocotb.external(sddev.reset_core)()
yield (nysa.wait_clocks(100))
yield cocotb.external(sddev.enable_sdio_device)(True)
yield (nysa.wait_clocks(100))
#Enable SDIO
yield cocotb.external(sdhost.enable_sd_host)(True)
yield cocotb.external(sdhost.cmd_io_send_op_cond)(enable_1p8v = True)
yield cocotb.external(sdhost.cmd_get_relative_card_address)()
yield cocotb.external(sdhost.cmd_enable_card)(True)
#Configure an interrupt callback
sdhost.set_interrupt_callback(interrupt_callback)
#Enable Function
yield cocotb.external(sdhost.enable_function)(FUNCTION)
#Enable Interrupts on Device
yield cocotb.external(sdhost.enable_function_interrupt)(FUNCTION)
pending = yield cocotb.external(sdhost.is_interrupt_pending)(FUNCTION)
dut.log.debug("Is Interrupt Pending? %s" % pending)
#Enable Interrupt on controller
yield cocotb.external(sdhost.enable_interrupt)(True)
yield (nysa.wait_clocks(100))
#Generate an interrupt
dut.request_interrupt = 1
#Detect an interrupt from the device
pending = yield cocotb.external(sdhost.is_interrupt_pending)(FUNCTION)
dut.log.debug("Is Interrupt Pending? %s" % pending)
yield (nysa.wait_clocks(3000))
if not interrupt_called:
raise TestFailure("Interrupt was not detected")
@cocotb.test(skip = True)
def data_async_block_read_write_long_transfer(dut):
"""
Description:
Perform a block read using asynchronous transfer
Test ID: 11
Expected Results:
Block Transfer (Read)
"""
dut.test_id = 11
ADDRESS = 0x00
FUNCTION = 1
BLOCK_SIZE = 0x08
SIZE = 0x18
SDIO_PATH = get_verilog_path("sdio-device")
sdio_config = os.path.join(SDIO_PATH, "sdio_configuration.json")
config = None
with open (sdio_config, "r") as f:
dut.log.warning("Run %s before running this function" % os.path.join(SDIO_PATH, "tools", "generate_config.py"))
config = json.load(f)
nysa = NysaSim(dut, SIM_CONFIG, CLK_PERIOD, user_paths = [MODULE_PATH])
setup_dut(dut)
yield(nysa.reset())
nysa.read_sdb()
yield (nysa.wait_clocks(10))
sdhost = yield cocotb.external(SDHostDriver)(nysa, nysa.find_device(SDHostDriver)[0])
sddev = yield cocotb.external(SDIODeviceDriver)(nysa, nysa.find_device(SDIODeviceDriver)[0])
yield (nysa.wait_clocks(200))
yield cocotb.external(sddev.enable_sdio_device)(False)
yield (nysa.wait_clocks(100))
yield cocotb.external(sddev.reset_core)()
yield (nysa.wait_clocks(100))
yield cocotb.external(sddev.enable_sdio_device)(True)
yield (nysa.wait_clocks(100))
#Enable SDIO
yield cocotb.external(sdhost.enable_sd_host)(True)
yield cocotb.external(sdhost.cmd_io_send_op_cond)(enable_1p8v = True)
yield cocotb.external(sdhost.cmd_get_relative_card_address)()
yield cocotb.external(sdhost.cmd_enable_card)(True)
#Enable Function
yield cocotb.external(sdhost.enable_function)(FUNCTION)
yield cocotb.external(sdhost.set_function_block_size)(FUNCTION, BLOCK_SIZE)
write_data = Array ('B')
for i in range (SIZE):
value = i % 256
write_data.append(value)
yield cocotb.external(sdhost.write_sd_data)(FUNCTION, ADDRESS, write_data, fifo_mode = False, read_after_write = False)
yield cocotb.external(sdhost.set_async_dma_reader_callback)(dma_read_callback)
yield cocotb.external(sdhost.enable_async_dma_reader)(True)
yield cocotb.external(sdhost.read_sd_data)(FUNCTION, ADDRESS, SIZE, fifo_mode = False)
dut.log.debug("Waiting for function to finish...")
yield (nysa.wait_clocks(4000))
if not data_is_ready:
raise TestFailure("Async Read Never Finished!")
read_data = sdhost.read_async_data()
dut.log.debug("Async Data: %s" % print_hex_array(read_data))
fail = False
for i in range(len(write_data)):
if write_data[i] != read_data[i]:
fail = True
if fail:
raise TestFailure("Async Block Read Transfer Failed, %s != %s" % (print_hex_array(write_data), print_hex_array(read_data)))
@cocotb.test(skip = False)
def small_multi_byte_data_write_to_func1(dut):
"""
Description:
Perform a small write on the data bus
Test ID: 12
Expected Results:
Multi byte data transfer, this will use the data bus, not FIFO mode
"""
dut.test_id = 12
SDIO_PATH = get_verilog_path("sdio-device")
sdio_config = os.path.join(SDIO_PATH, "sdio_configuration.json")
config = None
with open (sdio_config, "r") as f:
dut.log.warning("Run %s before running this function" % os.path.join(SDIO_PATH, "tools", "generate_config.py"))
config = json.load(f)
#print "SDIO PATH: %s" % SDIO_PATH
#print "module path: %s" % MODULE_PATH
nysa = NysaSim(dut, SIM_CONFIG, CLK_PERIOD, user_paths = [MODULE_PATH])
setup_dut(dut)
yield(nysa.reset())
nysa.read_sdb()
yield (nysa.wait_clocks(10))
#nysa.pretty_print_sdb()
#sdhost = SDHostDriver(nysa, nysa.find_device(SDHostDriver)[0])
sdhost = yield cocotb.external(SDHostDriver)(nysa, nysa.find_device(SDHostDriver)[0])
sddev = yield cocotb.external(SDIODeviceDriver)(nysa, nysa.find_device(SDIODeviceDriver)[0])
yield (nysa.wait_clocks(200))
yield cocotb.external(sddev.enable_sdio_device)(False)
yield (nysa.wait_clocks(100))
yield cocotb.external(sddev.reset_core)()
yield (nysa.wait_clocks(100))
yield cocotb.external(sddev.enable_sdio_device)(True)
yield (nysa.wait_clocks(100))
#Enable SDIO
yield cocotb.external(sdhost.enable_sd_host)(True)
yield cocotb.external(sdhost.cmd_io_send_op_cond)(enable_1p8v = True)
yield cocotb.external(sdhost.cmd_get_relative_card_address)()
yield cocotb.external(sdhost.cmd_enable_card)(True)
#data = Array ('B', [0x01, 0x02, 0x03, 0x04, 0x05, 0x06, 0x07])
data = Array ('B')
for i in range (16):
value = i % 256
data.append(value)
data = [0x01, 0x23, 0x45, 0x67, 0x89, 0xAB, 0xCD, 0xEF]
yield cocotb.external(sdhost.write_sd_data)(1, 0x00, data, fifo_mode = False, read_after_write = False)
yield (nysa.wait_clocks(100))
read_data = yield cocotb.external(sddev.read_local_buffer)(0, len(data) / 4)
print "Read data: %s" % print_hex_array(read_data)
yield (nysa.wait_clocks(1000))
def interrupt_callback():
global interrupt_called
interrupt_called = True
#print "INTERRRRUUUUPPPPTTTT CALLLLLLBACKKKKK!!!!"
def dma_read_callback(data):
global data_is_ready
data_is_ready = True
#print "Data is ready!: %s" % print_hex_array(data)
def print_hex_array(a):
s = None
for i in a:
if s is None:
s = "["
else:
s += ", "
s += "0x%02X" % i
s += "]"
return s
| 36.788248 | 131 | 0.692523 | 4,617 | 33,183 | 4.77128 | 0.057613 | 0.079395 | 0.137137 | 0.103273 | 0.890826 | 0.873167 | 0.859776 | 0.851695 | 0.828317 | 0.805711 | 0 | 0.023947 | 0.193352 | 33,183 | 901 | 132 | 36.829079 | 0.799044 | 0.048097 | 0 | 0.783251 | 0 | 0 | 0.089833 | 0.009335 | 0 | 0 | 0.007306 | 0 | 0 | 0 | null | null | 0 | 0.022989 | null | null | 0.022989 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
cddbc852a92087767483bf0e45d5c7033f4597b3 | 6,044 | py | Python | data/transforms/build.py | huangzongheng/NAMA | e9bc5b9ca0c1dd5fff2f0613fdaac9fc5b038152 | [
"MIT"
] | null | null | null | data/transforms/build.py | huangzongheng/NAMA | e9bc5b9ca0c1dd5fff2f0613fdaac9fc5b038152 | [
"MIT"
] | null | null | null | data/transforms/build.py | huangzongheng/NAMA | e9bc5b9ca0c1dd5fff2f0613fdaac9fc5b038152 | [
"MIT"
] | null | null | null | # encoding: utf-8
"""
@author: liaoxingyu
@contact: liaoxingyu2@jd.com
"""
import torchvision.transforms as T
from collections.abc import Sequence, Iterable
from .transforms import RandomErasing, RandomVerticalCropCont, ListToTensor, AutoResize, RandomVerticalErase, \
AddMask, DownCropResize, AddPosMask, ResumePosMask
# T.RandomAffine
def build_transforms(cfg, is_train=True):
normalize_transform = T.Normalize(mean=cfg.INPUT.PIXEL_MEAN, std=cfg.INPUT.PIXEL_STD)
if is_train:
transform = T.Compose([
T.Resize(cfg.INPUT.SIZE_TRAIN),
# AutoResize(cfg.INPUT.SIZE_TEST, cfg.INPUT.VE_RATE),
T.RandomHorizontalFlip(p=cfg.INPUT.PROB),
T.Pad(cfg.INPUT.PADDING),
T.RandomCrop(cfg.INPUT.SIZE_TRAIN),
T.ToTensor(),
normalize_transform,
RandomErasing(probability=cfg.INPUT.RE_PROB, mean=cfg.INPUT.PIXEL_MEAN),
# RandomVerticalErase(cfg.INPUT.VE_RATE, cfg.INPUT.VE_MODE),
])
else:
transform = T.Compose([
# T.Resize((5*cfg.INPUT.SIZE_TEST[0]//4, cfg.INPUT.SIZE_TEST[1])),
# T.Pad((0, cfg.INPUT.SIZE_TEST[0]//4, 0, 0)),
# T.CenterCrop(cfg.INPUT.SIZE_TEST),
# T.Resize(cfg.INPUT.SIZE_TEST),
AutoResize(cfg.INPUT.SIZE_TEST, cfg.TEST.RESIZE_MODE),
T.ToTensor(),
normalize_transform,
# DownCropResize(cfg.TEST.CROP_RATIO)
# AddMask(cfg.INPUT.SIZE_TEST, cfg.TEST.RESIZE_MODE)
])
return transform
def build_ema_transforms(cfg, is_train=True):
normalize_transform = T.Normalize(mean=cfg.INPUT.PIXEL_MEAN, std=cfg.INPUT.PIXEL_STD)
if is_train:
transform = T.Compose([
T.Resize(cfg.INPUT.SIZE_TRAIN),
T.ColorJitter(*cfg.INPUT.JITTER), # brightness=0.2, contrast=0.2, saturation=0.2, hue=0.1
T.RandomAffine(*cfg.INPUT.AFFINE, resample=3),
# AutoResize(cfg.INPUT.SIZE_TEST, cfg.INPUT.VE_RATE),
T.RandomHorizontalFlip(p=cfg.INPUT.PROB),
# T.Pad(cfg.INPUT.PADDING),
# T.RandomCrop(cfg.INPUT.SIZE_TRAIN),
T.ToTensor(),
normalize_transform,
RandomErasing(probability=cfg.INPUT.RE_PROB, mean=cfg.INPUT.PIXEL_MEAN),
# RandomVerticalErase(cfg.INPUT.VE_RATE, cfg.INPUT.VE_MODE),
])
else:
transform = T.Compose([
# T.Resize((5*cfg.INPUT.SIZE_TEST[0]//4, cfg.INPUT.SIZE_TEST[1])),
# T.Pad((0, cfg.INPUT.SIZE_TEST[0]//4, 0, 0)),
# T.CenterCrop(cfg.INPUT.SIZE_TEST),
T.Resize(cfg.INPUT.SIZE_TEST),
# AutoResize(cfg.INPUT.SIZE_TEST, cfg.TEST.RESIZE_MODE),
T.ToTensor(),
normalize_transform,
# DownCropResize(cfg.TEST.CROP_RATIO)
# AddMask(cfg.INPUT.SIZE_TEST, cfg.TEST.RESIZE_MODE)
])
return transform
def build_qg_transforms(cfg, is_train=True):
normalize_transform = T.Normalize(mean=cfg.INPUT.PIXEL_MEAN, std=cfg.INPUT.PIXEL_STD)
if is_train:
transform = T.Compose([
T.Resize(cfg.INPUT.SIZE_TRAIN),
T.RandomHorizontalFlip(p=cfg.INPUT.PROB),
# T.Pad(cfg.INPUT.PADDING),
# T.RandomCrop(cfg.INPUT.SIZE_TRAIN),
RandomVerticalCropCont(*cfg.INPUT.SIZE_TRAIN),
ListToTensor(normalize_transform),
# normalize_transform,
# RandomErasing(probability=cfg.INPUT.RE_PROB, mean=cfg.INPUT.PIXEL_MEAN)
])
else:
transform = T.Compose([
T.Resize((5*cfg.INPUT.SIZE_TEST[0]//4, cfg.INPUT.SIZE_TEST[1])),
T.Pad((0, cfg.INPUT.SIZE_TEST[0]//4, 0, 0)),
T.CenterCrop(cfg.INPUT.SIZE_TEST),
# T.Resize(cfg.INPUT.SIZE_TEST),
T.ToTensor(),
normalize_transform
])
return transform
# todo:将原始图片空间坐标随图片一起变化，以记录空间位置信息
def build_pixel_transforms(cfg, is_train=True):
normalize_transform = T.Normalize(mean=cfg.INPUT.PIXEL_MEAN, std=cfg.INPUT.PIXEL_STD)
if is_train:
transform = T.Compose([
T.Resize(cfg.INPUT.SIZE_TRAIN),
# T.ColorJitter(*cfg.INPUT.JITTER), # brightness=0.2, contrast=0.2, saturation=0.2, hue=0.1
# T.RandomAffine(*cfg.INPUT.AFFINE, resample=3),
# AutoResize(cfg.INPUT.SIZE_TEST, cfg.INPUT.VE_RATE),
# T.Pad(cfg.INPUT.PADDING),
# T.RandomCrop(cfg.INPUT.SIZE_TRAIN),
T.ToTensor(),
normalize_transform,
AddPosMask(20),
T.RandomHorizontalFlip(p=cfg.INPUT.PROB), #
T.Pad(cfg.INPUT.PADDING),
T.RandomCrop(cfg.INPUT.SIZE_TRAIN),
RandomErasing(probability=cfg.INPUT.RE_PROB, mean=[0, 0, 0]), # 不擦坐标
ResumePosMask(20)
])
transform1 = T.Compose([
T.Resize(cfg.INPUT.SIZE_TRAIN),
# T.ColorJitter(0.1, 0.1, 0.1, 0.1), # brightness=0.2, contrast=0.2, saturation=0.2, hue=0.1
T.ToTensor(),
normalize_transform,
AddPosMask(20),
T.RandomHorizontalFlip(p=cfg.INPUT.PROB),
T.Pad((20,40)),
T.RandomCrop(cfg.INPUT.SIZE_TRAIN),
ResumePosMask(20)
])
# 保证两边用相同的flip
pre_transform = T.Compose([
# T.RandomHorizontalFlip(p=cfg.INPUT.PROB),
])
transform = [transform, transform1, pre_transform]
else:
transform = T.Compose([
# T.Resize((5*cfg.INPUT.SIZE_TEST[0]//4, cfg.INPUT.SIZE_TEST[1])),
# T.Pad((0, cfg.INPUT.SIZE_TEST[0]//4, 0, 0)),
# T.CenterCrop(cfg.INPUT.SIZE_TEST),
T.Resize(cfg.INPUT.SIZE_TEST),
# AutoResize(cfg.INPUT.SIZE_TEST, cfg.TEST.RESIZE_MODE),
T.ToTensor(),
normalize_transform,
# DownCropResize(cfg.TEST.CROP_RATIO)
# AddMask(cfg.INPUT.SIZE_TEST, cfg.TEST.RESIZE_MODE)
])
return transform
| 38.74359 | 111 | 0.59861 | 742 | 6,044 | 4.737197 | 0.118598 | 0.177525 | 0.139972 | 0.132006 | 0.840114 | 0.839829 | 0.819915 | 0.807966 | 0.807966 | 0.807966 | 0 | 0.020099 | 0.267373 | 6,044 | 155 | 112 | 38.993548 | 0.773713 | 0.312376 | 0 | 0.765957 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.006452 | 0 | 1 | 0.042553 | false | 0 | 0.031915 | 0 | 0.117021 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
cddc70fe7a97bad20103a2ffac440d826c7fd25d | 176 | py | Python | torchero/utils/vision/__init__.py | juancruzsosa/torchero | d1440b7a9c3ab2c1d3abbb282abb9ee1ea240797 | [
"MIT"
] | 10 | 2020-07-06T13:35:26.000Z | 2021-08-10T09:46:53.000Z | torchero/utils/vision/__init__.py | juancruzsosa/torchero | d1440b7a9c3ab2c1d3abbb282abb9ee1ea240797 | [
"MIT"
] | 6 | 2020-07-07T20:52:16.000Z | 2020-07-14T04:05:02.000Z | torchero/utils/vision/__init__.py | juancruzsosa/torchero | d1440b7a9c3ab2c1d3abbb282abb9ee1ea240797 | [
"MIT"
] | 1 | 2021-06-28T17:56:11.000Z | 2021-06-28T17:56:11.000Z | from torchero.utils.vision.imagegrid import *
from torchero.utils.vision.io import *
from torchero.utils.vision.datasets import *
from torchero.utils.vision.transforms import * | 44 | 46 | 0.823864 | 24 | 176 | 6.041667 | 0.375 | 0.331034 | 0.468966 | 0.634483 | 0.6 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.085227 | 176 | 4 | 46 | 44 | 0.900621 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 8 |
cde1b8a1c95e3094a5d1866b48f9f370c9864bff | 201 | py | Python | warm/__init__.py | adithyavis/pywarm | 68f34dc8751c440da46ec1424763eb9d2ca4738d | [
"MIT"
] | 194 | 2019-09-03T03:56:32.000Z | 2021-12-19T19:16:47.000Z | warm/__init__.py | adithyavis/pywarm | 68f34dc8751c440da46ec1424763eb9d2ca4738d | [
"MIT"
] | 12 | 2019-09-02T19:41:06.000Z | 2019-09-21T15:59:07.000Z | warm/__init__.py | adithyavis/pywarm | 68f34dc8751c440da46ec1424763eb9d2ca4738d | [
"MIT"
] | 11 | 2019-09-03T03:03:41.000Z | 2019-11-15T19:22:38.000Z | # 09-10-2019;
""" `warm.up` is an alias of
[`warm.engine.prepare_model_`](https://blue-season.github.io/pywarm/reference/warm/engine/#prepare_model_). """
from warm.engine import prepare_model_ as up
| 33.5 | 111 | 0.741294 | 32 | 201 | 4.46875 | 0.6875 | 0.20979 | 0.237762 | 0.307692 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.043478 | 0.084577 | 201 | 5 | 112 | 40.2 | 0.733696 | 0.726368 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
cde6928335126b47fb73326d2924076c0428a120 | 8,885 | py | Python | taxonomy/migrations/0001_initial.py | opendream/asip | 20583aca6393102d425401d55ea32ac6b78be048 | [
"MIT"
] | null | null | null | taxonomy/migrations/0001_initial.py | opendream/asip | 20583aca6393102d425401d55ea32ac6b78be048 | [
"MIT"
] | 8 | 2020-03-24T17:11:49.000Z | 2022-01-13T01:18:11.000Z | taxonomy/migrations/0001_initial.py | opendream/asip | 20583aca6393102d425401d55ea32ac6b78be048 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
import re
import mptt.fields
import ckeditor.fields
import django.core.validators
class Migration(migrations.Migration):
dependencies = [
]
operations = [
migrations.CreateModel(
name='Country',
fields=[
('id', models.AutoField(verbose_name='ID', serialize=False, auto_created=True, primary_key=True)),
('is_deleted', models.BooleanField(default=False)),
('permalink', models.CharField(help_text='Required unique 30 characters or fewer. Letters, numbers and ./@/+/-/_ characters', unique=True, max_length=255, validators=[django.core.validators.RegexValidator(re.compile(b'^[\\w.+-]+$'), 'Enter a valid permalink.', b'invalid')])),
('title', models.CharField(max_length=255)),
('summary', models.TextField(null=True, blank=True)),
('description', ckeditor.fields.RichTextField(null=True, blank=True)),
('priority', models.IntegerField(default=0)),
],
options={
'ordering': ['-priority', 'id'],
'abstract': False,
},
bases=(models.Model,),
),
migrations.CreateModel(
name='Interest',
fields=[
('id', models.AutoField(verbose_name='ID', serialize=False, auto_created=True, primary_key=True)),
('is_deleted', models.BooleanField(default=False)),
('permalink', models.CharField(help_text='Required unique 30 characters or fewer. Letters, numbers and ./@/+/-/_ characters', unique=True, max_length=255, validators=[django.core.validators.RegexValidator(re.compile(b'^[\\w.+-]+$'), 'Enter a valid permalink.', b'invalid')])),
('title', models.CharField(max_length=255)),
('summary', models.TextField(null=True, blank=True)),
('description', ckeditor.fields.RichTextField(null=True, blank=True)),
('priority', models.IntegerField(default=0)),
],
options={
'ordering': ['-priority', 'id'],
'abstract': False,
},
bases=(models.Model,),
),
migrations.CreateModel(
name='OrganizationRole',
fields=[
('id', models.AutoField(verbose_name='ID', serialize=False, auto_created=True, primary_key=True)),
('is_deleted', models.BooleanField(default=False)),
('permalink', models.CharField(help_text='Required unique 30 characters or fewer. Letters, numbers and ./@/+/-/_ characters', unique=True, max_length=255, validators=[django.core.validators.RegexValidator(re.compile(b'^[\\w.+-]+$'), 'Enter a valid permalink.', b'invalid')])),
('title', models.CharField(max_length=255)),
('summary', models.TextField(null=True, blank=True)),
('description', ckeditor.fields.RichTextField(null=True, blank=True)),
('priority', models.IntegerField(default=0)),
],
options={
'ordering': ['-priority', 'id'],
'abstract': False,
},
bases=(models.Model,),
),
migrations.CreateModel(
name='OrganizationType',
fields=[
('id', models.AutoField(verbose_name='ID', serialize=False, auto_created=True, primary_key=True)),
('is_deleted', models.BooleanField(default=False)),
('permalink', models.CharField(help_text='Required unique 30 characters or fewer. Letters, numbers and ./@/+/-/_ characters', unique=True, max_length=255, validators=[django.core.validators.RegexValidator(re.compile(b'^[\\w.+-]+$'), 'Enter a valid permalink.', b'invalid')])),
('title', models.CharField(max_length=255)),
('summary', models.TextField(null=True, blank=True)),
('description', ckeditor.fields.RichTextField(null=True, blank=True)),
('priority', models.IntegerField(default=0)),
],
options={
'ordering': ['-priority', 'id'],
'abstract': False,
},
bases=(models.Model,),
),
migrations.CreateModel(
name='Topic',
fields=[
('id', models.AutoField(verbose_name='ID', serialize=False, auto_created=True, primary_key=True)),
('is_deleted', models.BooleanField(default=False)),
('permalink', models.CharField(help_text='Required unique 30 characters or fewer. Letters, numbers and ./@/+/-/_ characters', unique=True, max_length=255, validators=[django.core.validators.RegexValidator(re.compile(b'^[\\w.+-]+$'), 'Enter a valid permalink.', b'invalid')])),
('title', models.CharField(max_length=255)),
('summary', models.TextField(null=True, blank=True)),
('description', ckeditor.fields.RichTextField(null=True, blank=True)),
('priority', models.IntegerField(default=0)),
('lft', models.PositiveIntegerField(editable=False, db_index=True)),
('rght', models.PositiveIntegerField(editable=False, db_index=True)),
('tree_id', models.PositiveIntegerField(editable=False, db_index=True)),
('level', models.PositiveIntegerField(editable=False, db_index=True)),
('parent', mptt.fields.TreeForeignKey(related_name='children', blank=True, to='taxonomy.Topic', null=True)),
],
options={
'abstract': False,
},
bases=(models.Model,),
),
migrations.CreateModel(
name='TypeOfNeed',
fields=[
('id', models.AutoField(verbose_name='ID', serialize=False, auto_created=True, primary_key=True)),
('is_deleted', models.BooleanField(default=False)),
('permalink', models.CharField(help_text='Required unique 30 characters or fewer. Letters, numbers and ./@/+/-/_ characters', unique=True, max_length=255, validators=[django.core.validators.RegexValidator(re.compile(b'^[\\w.+-]+$'), 'Enter a valid permalink.', b'invalid')])),
('title', models.CharField(max_length=255)),
('summary', models.TextField(null=True, blank=True)),
('description', ckeditor.fields.RichTextField(null=True, blank=True)),
('priority', models.IntegerField(default=0)),
],
options={
'ordering': ['-priority', 'id'],
'abstract': False,
},
bases=(models.Model,),
),
migrations.CreateModel(
name='TypeOfSupport',
fields=[
('id', models.AutoField(verbose_name='ID', serialize=False, auto_created=True, primary_key=True)),
('is_deleted', models.BooleanField(default=False)),
('permalink', models.CharField(help_text='Required unique 30 characters or fewer. Letters, numbers and ./@/+/-/_ characters', unique=True, max_length=255, validators=[django.core.validators.RegexValidator(re.compile(b'^[\\w.+-]+$'), 'Enter a valid permalink.', b'invalid')])),
('title', models.CharField(max_length=255)),
('summary', models.TextField(null=True, blank=True)),
('description', ckeditor.fields.RichTextField(null=True, blank=True)),
('priority', models.IntegerField(default=0)),
],
options={
'ordering': ['-priority', 'id'],
'abstract': False,
},
bases=(models.Model,),
),
migrations.CreateModel(
name='UserRole',
fields=[
('id', models.AutoField(verbose_name='ID', serialize=False, auto_created=True, primary_key=True)),
('is_deleted', models.BooleanField(default=False)),
('permalink', models.CharField(help_text='Required unique 30 characters or fewer. Letters, numbers and ./@/+/-/_ characters', unique=True, max_length=255, validators=[django.core.validators.RegexValidator(re.compile(b'^[\\w.+-]+$'), 'Enter a valid permalink.', b'invalid')])),
('title', models.CharField(max_length=255)),
('summary', models.TextField(null=True, blank=True)),
('description', ckeditor.fields.RichTextField(null=True, blank=True)),
('priority', models.IntegerField(default=0)),
],
options={
'ordering': ['-priority', 'id'],
'abstract': False,
},
bases=(models.Model,),
),
]
| 56.234177 | 292 | 0.570737 | 836 | 8,885 | 5.976077 | 0.117225 | 0.027222 | 0.038431 | 0.054444 | 0.917134 | 0.917134 | 0.917134 | 0.877102 | 0.866293 | 0.866293 | 0 | 0.011234 | 0.268655 | 8,885 | 157 | 293 | 56.592357 | 0.757618 | 0.002364 | 0 | 0.788079 | 0 | 0 | 0.196682 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.039735 | 0 | 0.059603 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
a8187bb91daec99a367befa8aa6910b292a5ccc4 | 17,307 | py | Python | applications/SwimmingDEMApplication/python_scripts/Derivatives.py | clazaro/Kratos | b947b82c90dfcbf13d60511427f85990d36b90be | [
"BSD-4-Clause"
] | 778 | 2017-01-27T16:29:17.000Z | 2022-03-30T03:01:51.000Z | applications/SwimmingDEMApplication/python_scripts/Derivatives.py | clazaro/Kratos | b947b82c90dfcbf13d60511427f85990d36b90be | [
"BSD-4-Clause"
] | 6,634 | 2017-01-15T22:56:13.000Z | 2022-03-31T15:03:36.000Z | applications/SwimmingDEMApplication/python_scripts/Derivatives.py | clazaro/Kratos | b947b82c90dfcbf13d60511427f85990d36b90be | [
"BSD-4-Clause"
] | 224 | 2017-02-07T14:12:49.000Z | 2022-03-06T23:09:34.000Z | import numpy as np
import sympy as sp
class TimeDependantFluidFractionSolution():
def __init__(self):
self.time = sp.Symbol('time')
self.x1 = sp.Symbol('x1')
self.x2 = sp.Symbol('x2')
self.L = sp.Symbol('L')
self.delta_alpha = sp.Symbol('delta_alpha')
self.omega = sp.Symbol('omega')
self.squeeze_amplitude = sp.Symbol('squeeze_amplitude')
self.x10 = sp.Symbol('x10')
self.x20 = sp.Symbol('x20')
self.R = sp.Symbol('R')
self.u_char = sp.Symbol('u_char')
self.c = (1 + self.squeeze_amplitude * sp.sin(self.omega * self.time))
def VelocityField(self):
self.alpha = 1 - self.delta_alpha * sp.exp(1 - 1 / (1 - ((self.c*(self.x1 - self.x10)/self.R)**2 + (((self.x2 - self.x20)/self.R)/self.c)**2)))
self.f_x1 = self.u_char * self.x1**2 * (1 - self.x1)**2
self.f_x2 = self.u_char * self.x2**2 * (1 - self.x2)**2
self.g_t = sp.cos(sp.pi * self.time) * sp.exp(-self.time)
self.df_x1 = sp.diff(self.f_x1, self.x1)
self.df_x2 = sp.diff(self.f_x2, self.x2)
self.u1_codina = self.f_x1 * self.df_x2 * self.g_t
self.u2_codina = -self.df_x1 * self.f_x2 * self.g_t
self.u1 = self.u1_codina / self.alpha
self.u2 = self.u2_codina / self.alpha
def DerivativeCalculator(self):
self.VelocityField()
print('u1 : \n', self.u1)
print('u2 : \n', self.u2)
self.du1dt = sp.diff(self.u1, self.time)
print('du1dt : \n', self.du1dt)
self.du2dt = sp.diff(self.u2, self.time)
print('du2dt : \n', self.du2dt)
print('alpha : \n', self.alpha)
self.dalphat = sp.diff(self.alpha, self.time)
print('dalphat : \n', self.dalphat)
self.alpha1 = sp.diff(self.alpha, self.x1)
print('alpha1 : \n', self.alpha1)
self.alpha2 = sp.diff(self.alpha, self.x2)
print('alpha2 : \n', self.alpha2)
self.du11 = sp.diff(self.u1, self.x1)
print('du11 : \n', self.du11)
self.du12 = sp.diff(self.u1, self.x2)
print('du12 : \n', self.du12)
self.du111 = sp.diff(self.du11, self.x1)
print('du111 : \n', self.du111)
self.du112 = sp.diff(self.du11, self.x2)
print('du112 : \n', self.du112)
self.du121 = sp.diff(self.du12, self.x1)
print('du121 : \n', self.du121)
self.du122 = sp.diff(self.du12, self.x2)
print('du122 : \n', self.du122)
self.du21 = sp.diff(self.u2, self.x1)
print('du21 : \n', self.du21)
self.du22 = sp.diff(self.u2, self.x2)
print('du22 : \n', self.du22)
self.du211 = sp.diff(self.du21, self.x1)
print('du211 : \n', self.du211)
self.du212 = sp.diff(self.du21, self.x2)
print('du212 : \n', self.du212)
self.du221 = sp.diff(self.du22, self.x1)
print('du221 : \n', self.du221)
self.du222 = sp.diff(self.du22, self.x2)
print('du222 : \n', self.du222)
class PorousCodina2007():
def __init__(self):
self.time = sp.Symbol('time')
self.x1 = sp.Symbol('x1')
self.x2 = sp.Symbol('x2')
self.L = sp.Symbol('L')
self.delta_alpha = sp.Symbol('delta_alpha')
self.omega = sp.Symbol('omega')
self.squeeze_amplitude = sp.Symbol('squeeze_amplitude')
self.x10 = sp.Symbol('x10')
self.x20 = sp.Symbol('x20')
self.R = sp.Symbol('R')
self.u_char = sp.Symbol('u_char')
self.c = (1 + self.squeeze_amplitude * sp.sin(self.omega))
def VelocityField(self):
self.alpha = 1 - self.delta_alpha * sp.exp(1 - 1 / (1 - ((self.c*(self.x1 - self.x10)/self.R)**2 + (((self.x2 - self.x20)/self.R)/self.c)**2)))
self.u1_codina = sp.sin(sp.pi * self.x1 - 0.7) * sp.sin(sp.pi * self.x2 + 0.2)
self.u2_codina = sp.cos(sp.pi * self.x1 - 0.7) * sp.cos(sp.pi * self.x2 + 0.2)
self.pressure = sp.sin(sp.pi * self.x1)*sp.cos(sp.pi*self.x2) + (sp.cos(1)-1)*sp.sin(1)
self.u1 = self.u1_codina / self.alpha
self.u2 = self.u2_codina / self.alpha
def DerivativeCalculator(self):
self.VelocityField()
print('u1 : \n', self.u1)
print('u2 : \n', self.u2)
self.du1dt = sp.diff(self.u1, self.time)
print('du1dt : \n', self.du1dt)
self.du2dt = sp.diff(self.u2, self.time)
print('du2dt : \n', self.du2dt)
print('alpha : \n', self.alpha)
self.dalphat = sp.diff(self.alpha, self.time)
print('dalphat : \n', self.dalphat)
self.alpha1 = sp.diff(self.alpha, self.x1)
print('alpha1 : \n', self.alpha1)
self.alpha2 = sp.diff(self.alpha, self.x2)
print('alpha2 : \n', self.alpha2)
self.du11 = sp.diff(self.u1, self.x1)
print('du11 : \n', self.du11)
self.du12 = sp.diff(self.u1, self.x2)
print('du12 : \n', self.du12)
self.du111 = sp.diff(self.du11, self.x1)
print('du111 : \n', self.du111)
self.du112 = sp.diff(self.du11, self.x2)
print('du112 : \n', self.du112)
self.du121 = sp.diff(self.du12, self.x1)
print('du121 : \n', self.du121)
self.du122 = sp.diff(self.du12, self.x2)
print('du122 : \n', self.du122)
self.du21 = sp.diff(self.u2, self.x1)
print('du21 : \n', self.du21)
self.du22 = sp.diff(self.u2, self.x2)
print('du22 : \n', self.du22)
self.du211 = sp.diff(self.du21, self.x1)
print('du211 : \n', self.du211)
self.du212 = sp.diff(self.du21, self.x2)
print('du212 : \n', self.du212)
self.du221 = sp.diff(self.du22, self.x1)
print('du221 : \n', self.du221)
self.du222 = sp.diff(self.du22, self.x2)
print('du222 : \n', self.du222)
print('pressure : \n', self.pressure)
self.dp1 = sp.diff(self.pressure, self.x1)
print('dp1 : \n', self.dp1)
self.dp2 = sp.diff(self.pressure, self.x2)
print('dp2 : \n', self.dp2)
class Codina2007():
def __init__(self):
self.time = sp.Symbol('time')
self.x1 = sp.Symbol('x1')
self.x2 = sp.Symbol('x2')
self.L = sp.Symbol('L')
self.delta_alpha = sp.Symbol('delta_alpha')
self.omega = sp.Symbol('omega')
self.squeeze_amplitude = sp.Symbol('squeeze_amplitude')
self.x10 = sp.Symbol('x10')
self.x20 = sp.Symbol('x20')
self.R = sp.Symbol('R')
self.u_char = sp.Symbol('u_char')
self.c = (1 + self.squeeze_amplitude * sp.sin(self.omega))
def VelocityField(self):
self.alpha = 1
self.u1_codina = sp.sin(sp.pi * self.x1 - 0.7) * sp.sin(sp.pi * self.x2 + 0.2)
self.u2_codina = sp.cos(sp.pi * self.x1 - 0.7) * sp.cos(sp.pi * self.x2 + 0.2)
self.pressure = sp.sin(sp.pi * self.x1)*sp.cos(sp.pi*self.x2) + (sp.cos(1)-1)*sp.sin(1)
self.u1 = self.u1_codina / self.alpha
self.u2 = self.u2_codina / self.alpha
def DerivativeCalculator(self):
self.VelocityField()
print('u1 : \n', self.u1)
print('u2 : \n', self.u2)
self.du1dt = sp.diff(self.u1, self.time)
print('du1dt : \n', self.du1dt)
self.du2dt = sp.diff(self.u2, self.time)
print('du2dt : \n', self.du2dt)
print('alpha : \n', self.alpha)
self.dalphat = sp.diff(self.alpha, self.time)
print('dalphat : \n', self.dalphat)
self.alpha1 = sp.diff(self.alpha, self.x1)
print('alpha1 : \n', self.alpha1)
self.alpha2 = sp.diff(self.alpha, self.x2)
print('alpha2 : \n', self.alpha2)
self.du11 = sp.diff(self.u1, self.x1)
print('du11 : \n', self.du11)
self.du12 = sp.diff(self.u1, self.x2)
print('du12 : \n', self.du12)
self.du111 = sp.diff(self.du11, self.x1)
print('du111 : \n', self.du111)
self.du112 = sp.diff(self.du11, self.x2)
print('du112 : \n', self.du112)
self.du121 = sp.diff(self.du12, self.x1)
print('du121 : \n', self.du121)
self.du122 = sp.diff(self.du12, self.x2)
print('du122 : \n', self.du122)
self.du21 = sp.diff(self.u2, self.x1)
print('du21 : \n', self.du21)
self.du22 = sp.diff(self.u2, self.x2)
print('du22 : \n', self.du22)
self.du211 = sp.diff(self.du21, self.x1)
print('du211 : \n', self.du211)
self.du212 = sp.diff(self.du21, self.x2)
print('du212 : \n', self.du212)
self.du221 = sp.diff(self.du22, self.x1)
print('du221 : \n', self.du221)
self.du222 = sp.diff(self.du22, self.x2)
print('du222 : \n', self.du222)
print('pressure : \n', self.pressure)
self.dp1 = sp.diff(self.pressure, self.x1)
print('dp1 : \n', self.dp1)
self.dp2 = sp.diff(self.pressure, self.x2)
print('dp2 : \n', self.dp2)
class CodinaVelocityField():
def __init__(self):
self.time = sp.Symbol('time')
self.x1 = sp.Symbol('x1')
self.x2 = sp.Symbol('x2')
self.u_char = sp.Symbol('u_char')
def VelocityField(self):
self.alpha = 1.0
self.f_x1 = self.u_char * self.x1**2 * (1 - self.x1)**2
self.f_x2 = self.u_char * self.x2**2 * (1 - self.x2)**2
self.g_t = sp.cos(sp.pi * self.time) * sp.exp(-self.time)
self.df_x1 = sp.diff(self.f_x1, self.x1)
self.df_x2 = sp.diff(self.f_x2, self.x2)
self.u1_codina = self.f_x1 * self.df_x2 * self.g_t
self.u2_codina = -self.df_x1 * self.f_x2 * self.g_t
self.u1 = self.u1_codina / self.alpha
self.u2 = self.u2_codina / self.alpha
def DerivativeCalculator(self):
self.VelocityField()
print('u1 : \n', self.u1)
print('u2 : \n', self.u2)
self.du1dt = sp.diff(self.u1, self.time)
print('du1dt : \n', self.du1dt)
self.du2dt = sp.diff(self.u2, self.time)
print('du2dt : \n', self.du2dt)
print('alpha : \n', self.alpha)
self.dalphat = sp.diff(self.alpha, self.time)
print('dalphat : \n', self.dalphat)
self.alpha1 = sp.diff(self.alpha, self.x1)
print('alpha1 : \n', self.alpha1)
self.alpha2 = sp.diff(self.alpha, self.x2)
print('alpha2 : \n', self.alpha2)
self.du11 = sp.diff(self.u1, self.x1)
print('du11 : \n', self.du11)
self.du12 = sp.diff(self.u1, self.x2)
print('du12 : \n', self.du12)
self.du111 = sp.diff(self.du11, self.x1)
print('du111 : \n', self.du111)
self.du112 = sp.diff(self.du11, self.x2)
print('du112 : \n', self.du112)
self.du121 = sp.diff(self.du12, self.x1)
print('du121 : \n', self.du121)
self.du122 = sp.diff(self.du12, self.x2)
print('du122 : \n', self.du122)
self.du21 = sp.diff(self.u2, self.x1)
print('du21 : \n', self.du21)
self.du22 = sp.diff(self.u2, self.x2)
print('du22 : \n', self.du22)
self.du211 = sp.diff(self.du21, self.x1)
print('du211 : \n', self.du211)
self.du212 = sp.diff(self.du21, self.x2)
print('du212 : \n', self.du212)
self.du221 = sp.diff(self.du22, self.x1)
print('du221 : \n', self.du221)
self.du222 = sp.diff(self.du22, self.x2)
print('du222 : \n', self.du222)
class PorousSinusoidalFluidFractionSolution():
def __init__(self):
self.time = sp.Symbol('time')
self.x1 = sp.Symbol('x1')
self.x2 = sp.Symbol('x2')
self.k = sp.Symbol('k')
self.L = sp.Symbol('L')
self.delta_alpha = sp.Symbol('delta_alpha')
self.x10 = sp.Symbol('x10')
self.x20 = sp.Symbol('x20')
self.u_char = sp.Symbol('u_char')
def VelocityField(self):
self.alpha = 1.0/2.0 + self.delta_alpha * sp.sin(self.k * self.x1) * sp.cos(self.k * self.x2)
self.f_x1 = self.u_char * self.x1**2 * (1 - self.x1)**2
self.f_x2 = self.u_char * self.x2**2 * (1 - self.x2)**2
self.g_t = sp.cos(sp.pi * 1.0) * sp.exp(-1)
self.df_x1 = sp.diff(self.f_x1, self.x1)
self.df_x2 = sp.diff(self.f_x2, self.x2)
self.u1_codina = self.f_x1 * self.df_x2 * self.g_t
self.u2_codina = -self.df_x1 * self.f_x2 * self.g_t
self.u1 = self.u1_codina / self.alpha
self.u2 = self.u2_codina / self.alpha
def DerivativeCalculator(self):
self.VelocityField()
print('u1 : \n', self.u1)
print('u2 : \n', self.u2)
self.du1dt = sp.diff(self.u1, self.time)
print('du1dt : \n', self.du1dt)
self.du2dt = sp.diff(self.u2, self.time)
print('du2dt : \n', self.du2dt)
print('alpha : \n', self.alpha)
self.dalphat = sp.diff(self.alpha, self.time)
print('dalphat : \n', self.dalphat)
self.alpha1 = sp.diff(self.alpha, self.x1)
print('alpha1 : \n', self.alpha1)
self.alpha2 = sp.diff(self.alpha, self.x2)
print('alpha2 : \n', self.alpha2)
self.du11 = sp.diff(self.u1, self.x1)
print('du11 : \n', self.du11)
self.du12 = sp.diff(self.u1, self.x2)
print('du12 : \n', self.du12)
self.du111 = sp.diff(self.du11, self.x1)
print('du111 : \n', self.du111)
self.du112 = sp.diff(self.du11, self.x2)
print('du112 : \n', self.du112)
self.du121 = sp.diff(self.du12, self.x1)
print('du121 : \n', self.du121)
self.du122 = sp.diff(self.du12, self.x2)
print('du122 : \n', self.du122)
self.du21 = sp.diff(self.u2, self.x1)
print('du21 : \n', self.du21)
self.du22 = sp.diff(self.u2, self.x2)
print('du22 : \n', self.du22)
self.du211 = sp.diff(self.du21, self.x1)
print('du211 : \n', self.du211)
self.du212 = sp.diff(self.du21, self.x2)
print('du212 : \n', self.du212)
self.du221 = sp.diff(self.du22, self.x1)
print('du221 : \n', self.du221)
self.du222 = sp.diff(self.du22, self.x2)
print('du222 : \n', self.du222)
class HyperbolicTangentFluidFractionSolution():
def __init__(self):
self.time = sp.Symbol('time')
self.x1 = sp.Symbol('x1')
self.x2 = sp.Symbol('x2')
self.height = sp.Symbol('height')
self.b = sp.Symbol('b')
self.L = sp.Symbol('L')
self.c = sp.Symbol('c')
self.mean_alpha = sp.Symbol('mean_alpha')
self.x10 = sp.Symbol('x10')
self.x20 = sp.Symbol('x20')
self.u_char = sp.Symbol('u_char')
def VelocityField(self):
self.alpha = self.mean_alpha * (1 + self.height * sp.tanh(self.b * (self.x1 - 0.5))) - self.c
self.f_x1 = self.u_char * self.x1**2 * (1 - self.x1)**2
self.f_x2 = self.u_char * self.x2**2 * (1 - self.x2)**2
self.g_t = sp.cos(sp.pi * 1.0) * sp.exp(-1)
self.df_x1 = sp.diff(self.f_x1, self.x1)
self.df_x2 = sp.diff(self.f_x2, self.x2)
self.u1_codina = self.f_x1 * self.df_x2 * self.g_t
self.u2_codina = -self.df_x1 * self.f_x2 * self.g_t
self.u1 = self.u1_codina / self.alpha
self.u2 = self.u2_codina / self.alpha
def DerivativeCalculator(self):
self.VelocityField()
print('u1 : \n', self.u1)
print('u2 : \n', self.u2)
self.du1dt = sp.diff(self.u1, self.time)
print('du1dt : \n', self.du1dt)
self.du2dt = sp.diff(self.u2, self.time)
print('du2dt : \n', self.du2dt)
print('alpha : \n', self.alpha)
self.dalphat = sp.diff(self.alpha, self.time)
print('dalphat : \n', self.dalphat)
self.alpha1 = sp.diff(self.alpha, self.x1)
print('alpha1 : \n', self.alpha1)
self.alpha2 = sp.diff(self.alpha, self.x2)
print('alpha2 : \n', self.alpha2)
self.du11 = sp.diff(self.u1, self.x1)
print('du11 : \n', self.du11)
self.du12 = sp.diff(self.u1, self.x2)
print('du12 : \n', self.du12)
self.du111 = sp.diff(self.du11, self.x1)
print('du111 : \n', self.du111)
self.du112 = sp.diff(self.du11, self.x2)
print('du112 : \n', self.du112)
self.du121 = sp.diff(self.du12, self.x1)
print('du121 : \n', self.du121)
self.du122 = sp.diff(self.du12, self.x2)
print('du122 : \n', self.du122)
self.du21 = sp.diff(self.u2, self.x1)
print('du21 : \n', self.du21)
self.du22 = sp.diff(self.u2, self.x2)
print('du22 : \n', self.du22)
self.du211 = sp.diff(self.du21, self.x1)
print('du211 : \n', self.du211)
self.du212 = sp.diff(self.du21, self.x2)
print('du212 : \n', self.du212)
self.du221 = sp.diff(self.du22, self.x1)
print('du221 : \n', self.du221)
self.du222 = sp.diff(self.du22, self.x2)
print('du222 : \n', self.du222)
HyperbolicTangentFluidFractionSolution().DerivativeCalculator() | 42.523342 | 152 | 0.544288 | 2,547 | 17,307 | 3.642324 | 0.030624 | 0.06791 | 0.122885 | 0.023283 | 0.953649 | 0.953649 | 0.951709 | 0.951709 | 0.951709 | 0.951709 | 0 | 0.095023 | 0.282487 | 17,307 | 407 | 153 | 42.523342 | 0.652037 | 0 | 0 | 0.949602 | 0 | 0 | 0.087149 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.047745 | false | 0 | 0.005305 | 0 | 0.068966 | 0.334218 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
b532c8da5c305c1965fbd1310f9d4f7c3178921f | 10,321 | py | Python | code/plot_rnn_results.py | UofT-EcoSystem/BPPSA-open | 100c2f15ff956c1a96c13047bcf05582593e37e2 | [
"MIT"
] | 10 | 2020-01-16T06:17:26.000Z | 2021-06-01T10:08:09.000Z | code/plot_rnn_results.py | UofT-EcoSystem/BPPSA-open | 100c2f15ff956c1a96c13047bcf05582593e37e2 | [
"MIT"
] | null | null | null | code/plot_rnn_results.py | UofT-EcoSystem/BPPSA-open | 100c2f15ff956c1a96c13047bcf05582593e37e2 | [
"MIT"
] | 1 | 2020-12-14T11:37:59.000Z | 2020-12-14T11:37:59.000Z | import argparse
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
def read_csv(gpu, mode, seq_len, batch_size):
return pd.read_csv(
'./rnn-epoch-latency-{}/{}-bernoulli{}_10-batch_size_{}.csv'.format(
gpu, mode, seq_len, batch_size),
index_col=0)
def plot_batch_sizes_to_speedups(gpu):
batch_sizes = list(reversed([2, 4, 8, 16, 32, 64, 128, 256]))
speedups = []
fps = []
bps = []
bar_width = 0.25
for batch_size in batch_sizes:
normal_latencies = read_csv(gpu, 'normal', 1000, batch_size)['latency']
blelloch_latencies = read_csv(gpu, 'blelloch', 1000,
batch_size)['latency']
normal_nobp_latencies = read_csv(gpu, 'normal-nobp', 1000,
batch_size)['latency']
baseline = normal_latencies.mean()
fp = normal_nobp_latencies.mean() / baseline
fps.append(fp)
bp = ((blelloch_latencies.mean() - normal_nobp_latencies.mean()) /
baseline)
bps.append(bp)
mean_speedup = normal_latencies.mean() / blelloch_latencies.mean()
speedups.append(mean_speedup)
print('{}: {}'.format(gpu, np.max(speedups)))
plt.bar(
np.arange(len(batch_sizes)),
fps,
edgecolor='#5A9BD5',
color='white',
hatch='////',
alpha=0.99,
width=bar_width,
label=gpu + ', FP',
)
plt.bar(
np.arange(len(batch_sizes)),
bps,
bottom=fps,
edgecolor='#5A9BD5',
color='#5A9BD5',
width=bar_width,
label=gpu + ', BPPSA',
)
plt.xticks(
np.arange(len(batch_sizes)),
['1/{}'.format(b) for b in batch_sizes],
fontsize=13,
)
plt.axhline(y=1.0, color='r', linestyle='--', linewidth=3, label='Baseline')
plt.xlabel('Fraction of GPU per Sample')
plt.ylabel('Normalized Runtime Breakdown')
plt.legend()
#plt.show()
plt.savefig('fig_8_f.png', bbox_inches='tight', pad_inches=0.0)
plt.clf()
def plot_seq_lens_to_speedups(gpu):
seq_lens = [10, 30, 100, 300, 1000, 3000, 10000, 30000]
speedups = []
fps = []
bps = []
bar_width = 0.25
for seq_len in seq_lens:
normal_latencies = read_csv(gpu, 'normal', seq_len, 16)['latency']
blelloch_latencies = read_csv(gpu, 'blelloch', seq_len, 16)['latency']
normal_nobp_latencies = read_csv(gpu, 'normal-nobp', seq_len,
16)['latency']
baseline = normal_latencies.mean()
fp = normal_nobp_latencies.mean() / baseline
fps.append(fp)
bp = ((blelloch_latencies.mean() - normal_nobp_latencies.mean()) /
baseline)
bps.append(bp)
mean_speedup = normal_latencies.mean() / blelloch_latencies.mean()
speedups.append(mean_speedup)
print('{}: {}'.format(gpu, np.max(speedups)))
plt.bar(
np.arange(len(seq_lens)),
fps,
edgecolor='#5A9BD5',
color='white',
hatch='////',
alpha=0.99,
width=bar_width,
label=gpu + ', FP',
)
plt.bar(
np.arange(len(seq_lens)),
bps,
bottom=fps,
edgecolor='#5A9BD5',
color='#5A9BD5',
width=bar_width,
label=gpu + ', BPPSA',
)
plt.xticks(np.arange(len(seq_lens)),
['10', '30', '100', '300', '1k', '3k', '10k', '30k'])
plt.axhline(y=1.0, color='r', linestyle='--', linewidth=3, label='Baseline')
plt.xlabel('Sequence Length')
plt.ylabel('Normalized Runtime Breakdown')
plt.legend()
#plt.show()
plt.savefig('fig_8_c.png', bbox_inches='tight', pad_inches=0.0)
plt.clf()
def read_training_csv(gpu, mode):
return pd.read_csv(
'./rnn-epoch-latency-{}/training-curve-{}-bernoulli1000_10-batch_size_16.csv'
.format(gpu, mode),
index_col=0)
def plot_training_curve(gpu):
normal = read_training_csv(gpu, 'normal')
blelloch = read_training_csv(gpu, 'blelloch')
print(normal['timestamp'])
print(normal['loss'])
plt.plot(normal['timestamp'],
normal['loss'],
color='r',
label='PyTorch/cuDNN',
linewidth=5)
plt.plot(blelloch['timestamp'],
blelloch['loss'],
color='#5A9BD5',
label='BPPSA',
linewidth=5)
plt.xlabel('Wall-clock Time (s)')
plt.ylabel('Training Loss')
plt.legend()
plt.savefig('fig_7.png', bbox_inches='tight', pad_inches=0.0)
plt.clf()
def plot_batch_sizes_to_backward_speedups(gpu):
batch_sizes = list(reversed([2, 4, 8, 16, 32, 64, 128, 256]))
speedups = []
for batch_size in batch_sizes:
normal_latencies = read_csv(gpu, 'normal', 1000, batch_size)['latency']
blelloch_latencies = read_csv(gpu, 'blelloch', 1000,
batch_size)['latency']
normal_nobp_latencies = read_csv(gpu, 'normal-nobp', 1000,
batch_size)['latency']
speedups.append(
(normal_latencies.mean() - normal_nobp_latencies.mean()) /
(blelloch_latencies.mean() - normal_nobp_latencies.mean()))
print('Max backward pass speedup for {} : {}'.format(gpu, np.max(speedups)))
plt.bar(np.arange(len(batch_sizes)),
speedups,
color='#5A9BD5',
width=0.25,
label='Speedup')
plt.xticks(np.arange(len(batch_sizes)), batch_sizes)
plt.axhline(y=1.0, color='r', linestyle='--', linewidth=3, label='Baseline')
plt.xlabel('Mini-batch Size')
plt.ylabel('Speedup over Baseline (PyTorch/cuDNN)')
plt.legend()
plt.yscale('log')
plt.savefig('fig_8_e.png', bbox_inches='tight', pad_inches=0.0)
plt.clf()
def plot_seq_lens_to_backward_speedups(gpu):
seq_lens = [10, 30, 100, 300, 1000, 3000, 10000, 30000]
speedups = []
for seq_len in seq_lens:
normal_latencies = read_csv(gpu, 'normal', seq_len, 16)['latency']
blelloch_latencies = read_csv(gpu, 'blelloch', seq_len, 16)['latency']
normal_nobp_latencies = read_csv(gpu, 'normal-nobp', seq_len,
16)['latency']
speedups.append(
(normal_latencies.mean() - normal_nobp_latencies.mean()) /
(blelloch_latencies.mean() - normal_nobp_latencies.mean()))
print('Max backward pass speedup for {} : {}'.format(gpu, np.max(speedups)))
plt.bar(np.arange(len(seq_lens)),
speedups,
color='#5A9BD5',
width=0.25,
label='Speedup')
plt.xticks(np.arange(len(seq_lens)),
['10', '30', '100', '300', '1k', '3k', '10k', '30k'])
plt.axhline(y=1.0, color='r', linestyle='--', linewidth=3, label='Baseline')
plt.xlabel('Sequence Length')
plt.ylabel('Speedup over Baseline (PyTorch/cuDNN)')
plt.legend()
plt.yscale('log')
plt.savefig('fig_8_b.png', bbox_inches='tight', pad_inches=0.0)
plt.clf()
def plot_seq_lens_to_backward_runtimes(gpu):
seq_lens = [10, 30, 100, 300, 1000, 3000, 10000, 30000]
runtimes_mean = []
runtimes_std = []
bar_width = 0.25
for seq_len in seq_lens:
num_iterations = 32000 / 16
blelloch_latencies = read_csv(
gpu,
'blelloch',
seq_len,
16,
)['latency'] / num_iterations * 1000
normal_nobp_latencies = read_csv(
gpu,
'normal-nobp',
seq_len,
16,
)['latency'] / num_iterations * 1000
runtimes_mean.append(
(blelloch_latencies - normal_nobp_latencies).mean())
runtimes_std.append(
np.sqrt(blelloch_latencies.var() + normal_nobp_latencies.var()))
plt.bar(
np.arange(len(seq_lens)),
runtimes_mean,
yerr=runtimes_std,
color='#5A9BD5',
width=bar_width,
label=gpu,
)
plt.xticks(np.arange(len(seq_lens)),
['10', '30', '100', '300', '1k', '3k', '10k', '30k'])
plt.xlabel('Sequence Length')
plt.ylabel('BPPSA Runtime (ms) per Iteration')
plt.legend()
#plt.yscale('log')
#plt.show()
plt.savefig('fig_8_a.png', bbox_inches='tight', pad_inches=0.0)
plt.clf()
def plot_batch_sizes_to_backward_runtimes(gpu):
batch_sizes = list(reversed([2, 4, 8, 16, 32, 64, 128, 256]))
runtimes_mean = []
runtimes_std = []
bar_width = 0.25
for batch_size in batch_sizes:
num_iterations = 32000 / batch_size
blelloch_latencies = read_csv(
gpu,
'blelloch',
1000,
batch_size,
)['latency'] / num_iterations * 1000
normal_nobp_latencies = read_csv(
gpu,
'normal-nobp',
1000,
batch_size,
)['latency'] / num_iterations * 1000
runtimes_mean.append(
(blelloch_latencies - normal_nobp_latencies).mean())
runtimes_std.append(
np.sqrt(blelloch_latencies.var() + normal_nobp_latencies.var()))
plt.bar(
np.arange(len(batch_sizes)),
runtimes_mean,
yerr=runtimes_std,
color='#5A9BD5',
width=bar_width,
label=gpu,
)
plt.xticks(
np.arange(len(batch_sizes)),
['1/{}'.format(b) for b in batch_sizes],
fontsize=13,
)
plt.xlabel('Fraction of GPU per Sample')
plt.ylabel('BPPSA Runtime (ms) per Iteration')
plt.legend()
#plt.yscale('log')
#plt.show()
plt.savefig('fig_8_d.png', bbox_inches='tight', pad_inches=0.0)
plt.clf()
def main(args):
plt.rcParams.update({'font.size': 15})
plot_batch_sizes_to_speedups(args.gpu)
plot_seq_lens_to_speedups(args.gpu)
plt.rcParams.update({'font.size': 23})
plot_training_curve(args.gpu)
plt.rcParams.update({'font.size': 15})
plot_batch_sizes_to_backward_speedups(args.gpu)
plot_seq_lens_to_backward_speedups(args.gpu)
plot_seq_lens_to_backward_runtimes(args.gpu)
plot_batch_sizes_to_backward_runtimes(args.gpu)
if __name__ == '__main__':
parser = argparse.ArgumentParser()
parser.add_argument('--gpu', type=str, required=True)
main(parser.parse_args())
| 31.95356 | 85 | 0.582502 | 1,271 | 10,321 | 4.509835 | 0.132966 | 0.04187 | 0.059665 | 0.053036 | 0.877704 | 0.86619 | 0.845255 | 0.815422 | 0.813329 | 0.796581 | 0 | 0.04901 | 0.270516 | 10,321 | 322 | 86 | 32.052795 | 0.712312 | 0.00717 | 0 | 0.769784 | 0 | 0 | 0.124793 | 0.012987 | 0 | 0 | 0 | 0 | 0 | 1 | 0.035971 | false | 0.007194 | 0.014388 | 0.007194 | 0.057554 | 0.021583 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
b5a8b9bc757e89cef70edaf89919600cbff47d87 | 7,528 | py | Python | databases.py | bruno154/project-cruds | e5898f8cdbcb8390329f7493bbf089fd14031fb0 | [
"MIT"
] | null | null | null | databases.py | bruno154/project-cruds | e5898f8cdbcb8390329f7493bbf089fd14031fb0 | [
"MIT"
] | null | null | null | databases.py | bruno154/project-cruds | e5898f8cdbcb8390329f7493bbf089fd14031fb0 | [
"MIT"
] | null | null | null | import psycopg2
import cx_Oracle
import sqlite3
import mysql.connector
from mysql.connector import errorcode
import pandas as pd
import numpy as np
class Postgresql:
def create_table(self, query,user, password, host, port, database, connect = True):
try:
connection = psycopg2.connect(user = user ,
password = password ,
host = host ,
port = port ,
database = database )
cursor = connection.cursor()
create_query = query
cursor.execute(create_query)
connection.commit()
print("Tabela criada no postgresql com sucesso ")
except (Exception, psycopg2.DatabaseError) as error :
print ("Erro durante a criação da tabela ", error)
finally:
if connect:
cursor.close()
connection.close()
print("Conexão com Postgresql fechada")
def retrieve_data(self,query, user, password, host, port, database, connect = True, objeto = 'pd'):
try:
connection = psycopg2.connect(user = user ,
password = password ,
host = host ,
port = port ,
database = database )
cursor = connection.cursor()
select_query = query
cursor.execute(select_query)
print("Buscando os dados!!!")
resultado = cursor.fetchall()
colunas = [desc[0] for desc in cursor.description]
if objeto == 'pd':
base = pd.DataFrame(resultado, columns=colunas)
else:
base = np.array(resultado)
return base
except (Exception, psycopg2.DatabaseError) as error :
print ("Erro durante a querry", error)
finally:
if connect:
cursor.close()
connection.close()
print("Conexão com Postgresql fechada")
def insert_data(self, df, tabela, user, password, host, port, database, connect = True):
try:
connection = psycopg2.connect(user = user ,
password = password ,
host = host ,
port = port ,
database = database )
cursor = connection.cursor()
cols=",".join([str(i) for i in df.columns.tolist()])
for _,row in df.iterrows():
sql = "INSERT INTO" + tabela + "(" +cols + ") VALUES (" + "%s,"*(len(row)-1) + "%s)"
cursor.execute(sql, tuple(row))
connection.commit()
except (Exception, psycopg2.Error) as error :
if connection:
print("Erro durante a criação da tabela ", error)
finally:
if connect:
cursor.close()
connection.close()
print("Conexão com Postgresql fechada")
class Mysql:
def create_table(self, query, user, password, host, database, connect=True):
config = {
'user': user,
'password': password,
'host': host,
'database': database,
'raise_on_warnings': True
}
try:
cnx = mysql.connector.connect(**config)
cursor = cnx.cursor()
create_query = query
cursor.execute(create_query)
print('Tabela criada no Mysql com sucesso')
except mysql.connector.Error as err:
print(f'Tabela não foi criada devido ao erro {err}')
finally:
if connect:
cursor.close()
cnx.close()
print('Conexão fechada com o Mysql')
def retrieve_data(self, query, user, password, host, database, objeto='pd', connect=True):
config = {
'user': user,
'password': password,
'host': host,
'database': database,
'raise_on_warnings': True
}
try:
cnx = mysql.connector.connect(**config)
cursor = cnx.cursor()
create_query = query
cursor.execute(create_query)
print('Buscando os dados!!!')
dados = cursor.fetchall()
colunas = [desc[0] for desc in cursor.description]
if objeto == 'pd':
base = pd.DataFrame(dados, columns=colunas)
else:
base = np.array(dados)
return base
except mysql.connector.Error as err:
print(f'Erro durante a query {err}')
finally:
if connect:
cursor.close()
cnx.close()
print('Conexão fechada com o Mysql')
def insert_data(self,df ,tabela , user, password, host, database, connect=True):
config = {
'user': user,
'password': password,
'host': host,
'database': database,
'raise_on_warnings': True
}
try:
cnx = mysql.connector.connect(**config)
cursor = cnx.cursor()
cols = ",".join([str(i) for i in df.columns.tolist()])
for _, row in df.iterrows():
sql = "INSERT INTO" + tabela + "(" + cols + ") VALUES (" + "%s, "*(len(row)-1) + "%s)"
cursor.execute(sql, tuple(row))
cnx.commit()
except mysql.connector.Error as err:
print(f'Erro durante a query {err}')
finally:
if connect:
cursor.close()
cnx.close()
print('Conexão fechada com o Mysql')
class Sqlite:
def create_table(self, query, database, connect=True):
try:
conn = sqlite3.connect(database)
cursor = conn.cursor()
cursor.execute(query)
conn.commit()
except sqlite3.Error as e:
print(f'O erro encontrado foi {e}')
finally:
if connect:
conn.close()
print('Conexão encerrada!!!')
def retrieve_data(self, query, database, objeto = 'pd', connect=True):
try:
conn = sqlite3.connect(database)
cursor = conn.cursor()
cursor.execute(query)
conn.commit()
print('Buscando os dados!!!')
dados = cursor.fetchall()
colunas = [desc[0] for desc in cursor.description]
if objeto == 'pd':
base = pd.DataFrame(dados, columns=colunas)
else:
base = np.array(dados)
return base
except sqlite3.Error as e:
print(f'O erro encontrado foi {e}')
finally:
if connect:
conn.close()
print('Conexão encerrada!!!')
def insert_data(self, df, tabela, database, connect=True):
try:
conn = sqlite3.connect(database)
df.to_sql(tabela, conn, if_exists='replace', index=False)
except sqlite3.Error as e:
print(f'O erro encontrado foi {e}')
finally:
if connect:
conn.close()
print('Conexão encerrada')
| 27.474453 | 103 | 0.488045 | 711 | 7,528 | 5.127989 | 0.158931 | 0.039495 | 0.039495 | 0.039495 | 0.86972 | 0.844213 | 0.828031 | 0.828031 | 0.768239 | 0.740538 | 0 | 0.004308 | 0.414187 | 7,528 | 273 | 104 | 27.575092 | 0.822449 | 0 | 0 | 0.804233 | 0 | 0 | 0.108808 | 0 | 0.010582 | 0 | 0 | 0 | 0 | 1 | 0.047619 | false | 0.063492 | 0.037037 | 0 | 0.116402 | 0.121693 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 8 |
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