def pytest_funcarg__knp(request):
param_dict = copy.deepcopy(Default_Param)
spec = {
"param": {
"logfilename": "kn021",
"outdir": "/".join([DATA_DIR, "1091460"]),
"paramfdir": "1091460",
"paramfname": "knp.json",
"balls": ["1091460"]
},
"book": {
"bookdir": '1091460',
"bookId": "1091460"
},
"koma": {
"komadir": 'k001',
"komaId": 1,
"komaIdStr": "001",
"imgfname": "001.jpeg"
},
"page": {
"imgfname": "001_0.jpeg"
}
}
for k, v in param_dict.items():
v.update(spec[k])
ku.check_test_environment(param_dict, '1091460')
return KnParam(param_dict)
def pytest_funcarg__b1g1012(request):
"""
両側とも全面挿絵のサンプル
"""
param_dict = copy.deepcopy(Default_Param)
spec = {
"param": {
"logfilename": "kn021",
"outdir": "/".join([DATA_DIR, "b1g101"]),
"paramfdir": "b1g101",
"paramfname": "b1g101.json",
"balls": ["b1g101"]
},
"book": {
"bookdir": 'b1g101',
"bookId": "b1g101",
},
"koma": {
"scale_size": 960.0,
"komadir": 'k021',
"komaId": 21,
"komaIdStr": "021",
"imgfname": "021.jpeg"
},
"page": {
"imgfname": "021_0.jpeg",
}
}
for k, v in param_dict.items():
v.update(spec[k])
ku.check_test_environment(param_dict, 'b1g1011')
return KnParam(param_dict)
def pytest_funcarg__b1g102(request):
"""
両側とも全面挿絵のサンプル
"""
param_dict = copy.deepcopy(Default_Param)
spec = {
"param": {
"logfilename": "kn106",
"outdir": "/".join([DATA_DIR, "b1g102"]),
"paramfdir": "b1g102",
"paramfname": "b1g102.json",
"balls": ["b1g102"]
},
"book": {
"bookdir": "b1g102",
"bookId": "b1g102"
},
"koma": {
"komadir": 'k106',
"komaId": 106,
"komaIdStr": "106",
"imgfname": "106.jpeg"
},
"page": {
"imgfname": "106_0.jpeg"
}
}
for k, v in param_dict.items():
v.update(spec[k])
ku.check_test_environment(param_dict, 'b1g102')
return KnParam(param_dict)
def pytest_funcarg__knFewLines(request):
param_dict = copy.deepcopy(Default_Param)
spec = {
"param": {
"logfilename": "knF006",
"outdir": "/".join([DATA_DIR, "1123003"]),
"paramfdir": "1123003",
"paramfname": "knMany006.json",
"balls": ["1123003"]
},
"book": {
"bookdir": "1123003",
"bookId": "1123003"
},
"koma": {
"scale_size": 320.0,
"hough": [1, 180, 200],
"canny": [50, 150, 3],
"komadir": 'k006',
"komaId": 7,
"komaIdStr": "006",
"imgfname": "006.jpeg"
},
"page": {
"imgfname": "006_0.jpeg"
}
}
for k, v in param_dict.items():
v.update(spec[k])
ku.check_test_environment(param_dict, '1123003')
return KnParam(param_dict)
def pytest_funcarg__graph2(request):
"""
両側とも全面挿絵のサンプル
"""
param_dict = copy.deepcopy(Default_Param)
spec = {
"param": {
"logfilename": "kngraph2_009",
"outdir": "/".join([DATA_DIR, "graph2"]),
"paramfdir": "graph2",
"paramfname": "kngraph2.json",
"balls": ["graph2"]
},
"book": {
"bookdir": "graph2",
"bookId": "graph2"
},
"koma": {
"komadir": 'k009',
"komaId": 9,
"komaIdStr": "009",
"imgfname": "009.jpeg"
},
"page": {
"imgfname": "009_0.jpeg",
}
}
for k, v in param_dict.items():
v.update(spec[k])
ku.check_test_environment(param_dict, 'graph2')
return KnParam(param_dict)
def pytest_funcarg__kaisetu(request):
param_dict = copy.deepcopy(Default_Param)
spec = {
"param": {
"logfilename": "kaisetu",
"outdir": "/".join([DATA_DIR, "1062973"]),
"paramfdir": "1062973",
"paramfname": "kaisetu.json",
"balls": ["kaisetu"]
},
"book": {
"bookdir": "1062973",
"bookId": "1062973"
},
"koma": {
"komadir": 'k009',
"komaId": 9,
"komaIdStr": "009",
"imgfname": "009.jpeg"
},
"page": {
"imgfname": "009_0.jpeg"
}
}
for k, v in param_dict.items():
v.update(spec[k])
ku.check_test_environment(param_dict, 'kaisetu')
return KnParam(param_dict)
def pytest_funcarg__kn005(request):
param_dict = copy.deepcopy(Default_Param)
spec = {
"param": {
"logfilename": "kn005",
"outdir": "/".join([DATA_DIR, "twletters"]),
"paramfdir": "twletters",
"paramfname": "twlkn005.json",
"balls": ["twletters"]
},
"book": {
"bookdir": "twletters",
"bookId": "twletters"
},
"koma": {
"komadir": 'k005',
"komaId": 5,
"komaIdStr": "005",
"imgfname": "005.jpeg"
},
"page": {
"imgfname": "005_0.jpeg"
}
}
for k, v in param_dict.items():
v.update(spec[k])
ku.check_test_environment(param_dict, 'twletters')
return KnParam(param_dict)
def pytest_funcarg__kn005(request):
param_dict = copy.deepcopy(Default_Param)
spec = {
"param": {
"logfilename": "kn005",
"outdir": "/".join([DATA_DIR, "twletters"]),
"paramfdir": "twletters",
"paramfname": "twlkn005.json",
"balls": ["twletters"]
},
"book": {
"bookdir": "twletters",
"bookId": "twletters"
},
"koma": {
"komadir": 'k005',
"komaId": 5,
"komaIdStr": "005",
"imgfname": "005.jpeg"
},
"page": {
"imgfname": "005_0.jpeg"
}
}
for k, v in param_dict.items():
v.update(spec[k])
ku.check_test_environment(param_dict, 'twletters')
return KnParam(param_dict)
def pytest_funcarg__b1g102(request):
"""
両側とも全面挿絵のサンプル
"""
param_dict = copy.deepcopy(Default_Param)
spec = {
"param": {
"logfilename": "kn106",
"outdir": "/".join([DATA_DIR, "b1g102"]),
"paramfdir": "b1g102",
"paramfname": "b1g102.json",
"balls": ["b1g102"]
},
"book": {
"bookdir": "b1g102",
"bookId": "b1g102"
},
"koma": {
"komadir": 'k106',
"komaId": 106,
"komaIdStr": "106",
"imgfname": "106.jpeg"
},
"page": {
"imgfname": "106_0.jpeg"
}
}
for k, v in param_dict.items():
v.update(spec[k])
ku.check_test_environment(param_dict, 'b1g102')
return KnParam(param_dict)
def pytest_funcarg__knp(request):
param_dict = copy.deepcopy(Default_Param)
spec = {
"param": {
"logfilename": "kn021",
"outdir": "/".join([DATA_DIR, "1091460"]),
"paramfdir": "1091460",
"paramfname": "knp.json",
"balls": ["1091460"]
},
"book": {
"bookdir": '1091460',
"bookId": "1091460"
},
"koma": {
"komadir": 'k001',
"komaId": 1,
"komaIdStr": "001",
"imgfname": "001.jpeg"
},
"page": {
"imgfname": "001_0.jpeg"
}
}
for k, v in param_dict.items():
v.update(spec[k])
ku.check_test_environment(param_dict, '1091460')
return KnParam(param_dict)
def pytest_funcarg__b1g1012(request):
"""
両側とも全面挿絵のサンプル
"""
param_dict = copy.deepcopy(Default_Param)
spec = {
"param": {
"logfilename": "kn021",
"outdir": "/".join([DATA_DIR, "b1g101"]),
"paramfdir": "b1g101",
"paramfname": "b1g101.json",
"balls": ["b1g101"]
},
"book": {
"bookdir": 'b1g101',
"bookId": "b1g101",
},
"koma": {
"scale_size": 960.0,
"komadir": 'k021',
"komaId": 21,
"komaIdStr": "021",
"imgfname": "021.jpeg"
},
"page": {
"imgfname": "021_0.jpeg",
}
}
for k, v in param_dict.items():
v.update(spec[k])
ku.check_test_environment(param_dict, 'b1g1011')
return KnParam(param_dict)
def pytest_funcarg__graph2(request):
"""
両側とも全面挿絵のサンプル
"""
param_dict = copy.deepcopy(Default_Param)
spec = {
"param": {
"logfilename": "kngraph2_009",
"outdir": "/".join([DATA_DIR, "graph2"]),
"paramfdir": "graph2",
"paramfname": "kngraph2.json",
"balls": ["graph2"]
},
"book": {
"bookdir": "graph2",
"bookId": "graph2"
},
"koma": {
"komadir": 'k009',
"komaId": 9,
"komaIdStr": "009",
"imgfname": "009.jpeg"
},
"page": {
"imgfname": "009_0.jpeg",
}
}
for k, v in param_dict.items():
v.update(spec[k])
ku.check_test_environment(param_dict, 'graph2')
return KnParam(param_dict)
def pytest_funcarg__knFewLines(request):
param_dict = copy.deepcopy(Default_Param)
spec = {
"param": {
"logfilename": "knF006",
"outdir": "/".join([DATA_DIR, "1123003"]),
"paramfdir": "1123003",
"paramfname": "knMany006.json",
"balls": ["1123003"]
},
"book": {
"bookdir": "1123003",
"bookId": "1123003"
},
"koma": {
"scale_size": 320.0,
"hough": [1, 180, 200],
"canny": [50, 150, 3],
"komadir": 'k006',
"komaId": 7,
"komaIdStr": "006",
"imgfname": "006.jpeg"
},
"page": {
"imgfname": "006_0.jpeg"
}
}
for k, v in param_dict.items():
v.update(spec[k])
ku.check_test_environment(param_dict, '1123003')
return KnParam(param_dict)
def pytest_funcarg__kaiten(request):
param_dict = copy.deepcopy(Default_Param)
spec = {
"param": {
"logfilename": "kaiten",
"outdir": "/".join([DATA_DIR, "1062973"]),
"paramfdir": "1062973",
"paramfname": "kaiten.json",
"balls": ["kaiten"]
},
"book": {
"bookdir": "1062973",
"bookId": "1062973"
},
"koma": {
"komadir": 'k008',
"komaId": 8,
"komaIdStr": "008",
"imgfname": "008.jpeg"
},
"page": {
"imgfname": "008_0.jpeg"
}
}
for k, v in param_dict.items():
v.update(spec[k])
ku.check_test_environment(param_dict, 'kaiten')
return KnParam(param_dict)
def pytest_funcarg__knManyLines(request):
param_dict = copy.deepcopy(Default_Param)
spec = {
"param": {
"logfilename": "knM007",
"outdir": "/".join([DATA_DIR, "1142178"]),
"paramfdir": "1142178",
"paramfname": "knMany007.json",
"balls": ["1142178"]
},
"book": {
"bookdir": "1142178",
"bookId": "1142178"
},
"koma": {
"scale_size": 320.0,
"hough": [1, 2, 80],
"canny": [50, 150, 3],
"komadir": 'k007',
"komaId": 7,
"komaIdStr": "007",
"imgfname": "007.jpeg",
"small_zone_levels": {
'upper': [0.03, 0.1],
'lower': [0.9, 0.97],
'center': [0.45, 0.55],
'left': [0.03, 0.12],
'right': [0.88, 0.97]
}
},
"page": {
"imgfname": "007_0.jpeg"
}
}
for k, v in param_dict.items():
v.update(spec[k])
ku.check_test_environment(param_dict, '1142178')
return KnParam(param_dict)
def pytest_funcarg__knManyLines(request):
param_dict = copy.deepcopy(Default_Param)
spec = {
"param": {
"logfilename": "knM007",
"outdir": "/".join([DATA_DIR, "1142178"]),
"paramfdir": "1142178",
"paramfname": "knMany007.json",
"balls": ["1142178"]
},
"book": {
"bookdir": "1142178",
"bookId": "1142178"
},
"koma": {
"scale_size": 320.0,
"hough": [1, 2, 80],
"canny": [50, 150, 3],
"komadir": 'k007',
"komaId": 7,
"komaIdStr": "007",
"imgfname": "007.jpeg",
"small_zone_levels": {'upper': [0.03, 0.1],
'lower': [0.9, 0.97],
'center': [0.45, 0.55],
'left': [0.03, 0.12],
'right': [0.88, 0.97]}
},
"page": {
"imgfname": "007_0.jpeg"
}
}
for k, v in param_dict.items():
v.update(spec[k])
ku.check_test_environment(param_dict, '1142178')
return KnParam(param_dict)