Name	Size	Mode	Actions
conftest.cpython-36.pyc	30640	0644	editdlrm
testing.cpython-36.pyc	398	0644	editdlrm
_testing.cpython-36.pyc	78844	0644	editdlrm
_typing.cpython-36.pyc	2071	0644	editdlrm
_version.cpython-36.pyc	522	0644	editdlrm
__init__.cpython-36.pyc	10786	0644	editdlrm

3 9%Egqz�@s dZd
dl
mZ
d
dlmZmZmZmZ
d
dlm Z
d
dl Z d
dlZd
dlm Z mZ
d
dlZd
dlmZ
d
dlZd
dlZd
dlmZmZ
d
dljjZd
dlZd
d lmZ
d
dlj Z!d
d l"m#Z#
d
dl$m%Z%m&Z&
dd �Z'dd�Z(dd�Z)ej*j+ddej,j-f
d�
ej*j.d�

xFdj/�D]:Z0e1ej2j3e0�Z4ej5e4ej6e4ej7�
d-d�ej8�d��
�
qWxRdj/�D]FZ0e1ej2j3e0�Z4ej5e4ej6e4ej7�
d.d�ej8�ej7ddd�d��
�
q\WxRdj/�D]FZ0e1ej2j3e0�Z4ej5e4ej6e4ej7�
d/d�ej8�ej7ddd�d ��
�
q�Wej9d!d"�
d#d$��
Z:ej9d!d"�
d%d&��
Z;ej9d
dd'd(gd)d*�d+�d,d-��
Zej9d!d1dgd2�
d3d4��
Z?ej9d!d1dgd2�
d5d6��
Z@ej9d7d8d1gd2�
d9d:��
ZAej9d;dgd2�
d?d@��
ZBej9d;dgd2�
dAdB��
ZCej9ddCdDdEdFgd2�
dGdH��
ZDej9dCdDdEdFgd2�
dIdJ��
ZEej9d!d1gd2�
dKdL��
ZFej9dMdNd;d�sr6)�params�idsc


Cs|jS)
z@ Fixture for returning the axis numbers of a DataFrame. )
�param)
�requestrrr�axis�sr;c

Csd
t|�
��S)Nzaxis )
r4)
r5rrrr6�sc


Cs|jS)
z= Fixture for returning the axis numbers of a Series. )
r9)
r:rrr�axis_series�sr<F)
r7c


Cs|jS)
a�
Pass in the observed keyword to groupby for [True, False] This indicates whether categoricals should return values for values which are not in the grouper [False / None], or only values which appear in the grouper [True]. [None] is supported for future compatibility if we decide to change the default (and would need to warn if this parameter is not passed). )
r9)
r:rrr�observed�s r=c


Cs|jS)
z6 Boolean 'ordered' parameter for Categorical. )
r9)
r:rrr�ordered�sr>�first�lastc


Cs|jS)
z[ Valid values for the 'keep' parameter used in .duplicated or .drop_duplicates )
r9)
r:rrr�keep�srA�left�rightZbothZneitherc


Cs|jS)
z< Fixture for trying all interval closed parameters. )
r9)
r:rrr�closed�srDc


Cs|jS)
zS Secondary closed fixture to allow parametrizing over all pairs of closed. )
r9)
r:rrr�other_closed�srE�gzip�bz2�zip�xzc


Cs|jS)
zK Fixture for trying common compression types in compression tests. )
r9)
r:rrr�compression�srJc


Cs|jS)
zk Fixture for trying common compression types in compression tests excluding uncompressed case. )
r9)
r:rrr�compression_only�srKc


Cs|jS)
z, Fixture that an array is writable. )
r9)
r:rrr�writable�srL�inner�outerc


Cs|jS)
z: Fixture for trying all types of join operations. )
r9)
r:rrr� join_type�srO�nlargest� nsmallestc


Cs|jS)
z1 Fixture for trying all nselect methods. )
r9)
r:rrr�nselect_method
srR�nanc


Cs|jS)
z/ Fixture for each null type in pandas. )
r9)
r:rrr� nulls_fixture
srTc


Cs|jS)
zL Fixture for each null type in pandas, each null type exactly once. )
r9)
r:rrr�unique_nulls_fixture
srU�seriesc


Cs|jS)
z� Fixture to parametrize over Index and Series, made necessary by a mypy bug, giving an error: List item 0 has incompatible type "Type[Series]"; expected "Type[PandasObject]" See GH#29725 )
r9)
r:rrr�index_or_series*
s rWc
CsGd
d�dt�}|S)z, Fixture for a dictionary subclass. c@seZ
dZd
d�ZdS)z"dict_subclass..TestSubDictc
_stj
|f
|
�|�

dS)
N)�dict�__init__)�self�args�kwargsrrrrYB
s
z+dict_subclass..TestSubDict.__init__N)�__name__� __module__�__qualname__rYrrrr�TestSubDictA
s
r`)
rX)
r`rrr� dict_subclass;
srac
CsGd
d�dtj
�}|S)z8 Fixture for a non-mapping dictionary subclass. c@s,eZ
dZd
d�Zdd�Zdd�Zdd�Zd S) z5non_dict_mapping_subclass..TestNonDictMappingcSs |
|_dS)
N)
�_data)rZZunderlying_dictrrrrYO
s
z>non_dict_mapping_subclass..TestNonDictMapping.__init__cSs|jj
|
�
S)
N)rb�__getitem__)rZ�keyrrrrcR
s
zAnon_dict_mapping_subclass..TestNonDictMapping.__getitem__c


Ss |jj
�S)
N)rb�__iter__)
rZrrrreU
s
z>non_dict_mapping_subclass..TestNonDictMapping.__iter__c


Ss |jj
�S)
N)rb�__len__)
rZrrrrfX
s
z=non_dict_mapping_subclass..TestNonDictMapping.__len__N)r]r^r_rYrcrerfrrrr�TestNonDictMappingN
s
rg)r�Mapping)
rgrrr�non_dict_mapping_subclassH
s ricCsbtj
d
�
}|jdd�dd�dd�g�
j�}
|
jjdd�|
jjD�
dd �
|
jjd ddgdd �
|
S) z� DataFrame with 3 level MultiIndex (year, month, day) covering first 100 business days from 2000-01-01 with random data �dc


Ss|jS)
N)
�year)
r5rrrr6h
szAmultiindex_year_month_day_dataframe_random_data..c


Ss|jS)
N)
r+)
r5rrrr6h
sc


Ss|jS)
N)
�day)
r5rrrr6h
sc
Ssg|]}
|
jd�
�qS)
�i8)
�astype)�.0Zlevrrr� j
szCmultiindex_year_month_day_dataframe_random_data..T)
Zinplacerkr+rl)�tmZmakeTimeDataFrame�groupby�sumr2Z set_levels�levelsZ set_names)ZtdfZymdrrr�/multiindex_year_month_day_dataframe_random_dataa
s 


rucCsltd
dddg�
}tddg�
}
t
jdddd d d g�
}t
jddddddg�
}ddg}t||
g||g|d d�}|S)zJ MultiIndex used to test the general functionality of this object �foo�bar�bazZqux�one�twor
r)��r?�secondF)rt�codes�namesZverify_integrity)rr0�arrayr)Z major_axisZ minor_axisZmajor_codesZminor_codesZindex_names�mirrr�_create_multiindexo
s







r�cCs.tj
d
dgddgtjdddd�gd d dgd�S) zB MultiIndex with a level that is a tzaware DatetimeIndex. r)r{�
a�
b�20130101r|z US/Eastern)Zperiods�tzryrzZthree)
r)rZfrom_productr.Z date_rangerrrr�_create_mi_with_dt64tz_level�
s

r�rjz US/Pacific)
r�� rvrwrxr{r|)�unicode�string�datetimezdatetime-tz�periodr�intZuint�range�float�boolZcategorical�interval�emptyZtupleszmi-with-dt64tz-levelZmultiZrepeatsc

Cst|j
j�S)
z� Fixture for many "simple" kinds of indices. These indices are unlikely to cover corner cases, e.g. - no names - no NaTs/NaNs - no values near implementation bounds - ... )�indices_dictr9�copy)
r:rrrr2�
scCstj
ggtjd
�S)N)r2�dtype)r.�Seriesr0Zfloat64rrrr�empty_series�
sr�c
Cstj
�}d
|_|S)zC Fixture for Series of floats with Index of unique strings rV)rqZmakeStringSeries�name)
�
srrr� string_series�
s

r�c
Cstj
�}d
|_|S)zI Fixture for Series of dtype object with Index of unique strings Zobjects)rqZmakeObjectSeriesr�)
r�rrr� object_series�
s

r�c
Cstj
�}d
|_|S)z9 Fixture for Series of floats with DatetimeIndex �ts)rqZmakeTimeSeriesr�)
r�rrr�datetime_series�
s

r�c
Cs$t|�
}
t
jj|
�
}tj||d
d�S)z Helper for the _series dict r�)r2r�)�lenr0�randomZrandnr.r�)r2�size�datarrr�_create_series�
s

r�c
Cs"i|]\}
}t|�
d|
�d
��qS)zseries-with-z-index)
r�)roZindex_idr2rrr� �
sr�c

Cst|�
S)
zE Fixture for tests on series with changing types of indices. )
r�)
r2rrr�series_with_simple_index�
sr�c
Cs(i|] }
tj
dd
�
j|
�
|
j�d��qS)r�)
r�z-series)rqZmakeFloatSeriesrnr])ror�rrrr��
sc

Cst|j
j�S)
z: Fixture for Series with low precision data types )�_narrow_seriesr9r�)
r:rrr� narrow_seriessr�c

Cst|j
jd
d�
S)z| Fixture for tests on indexes, series and series with a narrow dtype copy to avoid mutation, e.g. setting .name T)
�deep)�_index_or_series_objsr9r�)
r:rrr�index_or_series_objsr�c
Cst�S)
N)
r rrrr�empty_framesr�cCstt
j��
jd
�
S)a6 Fixture for DataFrame of ints with index of unique strings Columns are ['A', 'B', 'C', 'D'] A B C D vpBeWjM651 1 0 1 0 5JyxmrP1En -1 0 0 0 qEDaoD49U2 -1 1 0 0 m66TkTfsFe 0 0 0 0 EHPaNzEUFm -1 0 -1 0 fpRJCevQhi 2 0 0 0 OlQvnmfi3Q 0 0 -2 0 ... .. .. .. .. uB1FPlz4uP 0 0 0 1 EcSe6yNzCU 0 0 -1 0 L50VudaiI8 -1 1 -2 0 y3bpw4nwIp 0 -1 0 0 H0RdLLwrCT 1 1 0 0 rY82K0vMwm 0 0 0 0 1OPIUjnkjk 2 0 0 0 [30 rows x 4 columns] Zint64)r rq� getSeriesDatarnrrrr� int_frame sr�cCstt
j��
S)
a� Fixture for DataFrame of floats with DatetimeIndex Columns are ['A', 'B', 'C', 'D'] A B C D 2000-01-03 -1.122153 0.468535 0.122226 1.693711 2000-01-04 0.189378 0.486100 0.007864 -1.216052 2000-01-05 0.041401 -0.835752 -0.035279 -0.414357 2000-01-06 0.430050 0.894352 0.090719 0.036939 2000-01-07 -0.620982 -0.668211 -0.706153 1.466335 2000-01-10 -0.752633 0.328434 -0.815325 0.699674 2000-01-11 -2.236969 0.615737 -0.829076 -1.196106 ... ... ... ... ... 2000-02-03 1.642618 -0.579288 0.046005 1.385249 2000-02-04 -0.544873 -1.160962 -0.284071 -1.418351 2000-02-07 -2.656149 -0.601387 1.410148 0.444150 2000-02-08 -1.201881 -1.289040 0.772992 -1.445300 2000-02-09 1.377373 0.398619 1.008453 -0.928207 2000-02-10 0.473194 -0.636677 0.984058 0.511519 2000-02-11 -0.965556 0.408313 -1.312844 -0.381948 [30 rows x 4 columns] )r rqZgetTimeSeriesDatarrrr�datetime_frame=sr�cCstt
j��
S)
a� Fixture for DataFrame of floats with index of unique strings Columns are ['A', 'B', 'C', 'D']. A B C D P7GACiRnxd -0.465578 -0.361863 0.886172 -0.053465 qZKh6afn8n -0.466693 -0.373773 0.266873 1.673901 tkp0r6Qble 0.148691 -0.059051 0.174817 1.598433 wP70WOCtv8 0.133045 -0.581994 -0.992240 0.261651 M2AeYQMnCz -1.207959 -0.185775 0.588206 0.563938 QEPzyGDYDo -0.381843 -0.758281 0.502575 -0.565053 r78Jwns6dn -0.653707 0.883127 0.682199 0.206159 ... ... ... ... ... IHEGx9NO0T -0.277360 0.113021 -1.018314 0.196316 lPMj8K27FA -1.313667 -0.604776 -1.305618 -0.863999 qa66YMWQa5 1.110525 0.475310 -0.747865 0.032121 yOa0ATsmcE -0.431457 0.067094 0.096567 -0.264962 65znX3uRNG 1.528446 0.160416 -0.109635 -0.032987 eCOBvKqf3e 0.235281 1.622222 0.781255 0.392871 xSucinXxuV -1.263557 0.252799 -0.552247 0.400426 [30 rows x 4 columns] )r rqr�rrrr�float_frameZsr��__add__�__radd__�__sub__�__rsub__�__mul__�__rmul__�__floordiv__� __rfloordiv__�__truediv__�__rtruediv__�__pow__�__rpow__�__mod__�__rmod__c


Cs|jS)
zD Fixture for dunder names for common arithmetic operations. )
r9)
r:rrr�all_arithmetic_operators�sr�c


Cs|jS)
z� Fixture for operator and roperator arithmetic functions. Notes ----- This includes divmod and rdivmod, whereas all_arithmetic_operators does not. )
r9)
r:rrr�all_arithmetic_functions�sr�rs�max�minZmean�prodZstd�varZmedianZkurtZskewc


Cs|jS)
z. Fixture for numeric reduction names. )
r9)
r:rrr�all_numeric_reductions�sr��all�anyc


Cs|jS)
z. Fixture for boolean reduction names. )
r9)
r:rrr�all_boolean_reductions�sr�c


Cs|jS)
z> Fixture for all (boolean + numeric) reduction names. )
r9)
r:rrr�all_reductions�sr��__eq__�__ne__�__le__�__lt__�__ge__�__gt__c


Cs|jS)
zu Fixture for dunder names for common compare operations * >= * > * == * != * < * <= )
r9)
r:rrr�all_compare_operators�sr�c


Cs|jS)
zm Fixture for dunder names for compare operations except == and != * >= * > * < * <= )
r9)
r:rrr�compare_operators_no_eq_ne�s r��__and__�__rand__�__or__�__ror__�__xor__�__rxor__c


Cs|jS)
zY Fixture for dunder names for common logical operations * | * & * ^ )
r9)
r:rrr�all_logical_operators�sr�c

Cs |jd
�
S)zO Returns the configuration for the test setting `--strict-data-files`. z--strict-data-files)
r)
Zpytestconfigrrr�strict_data_filessr�c
s(tj
jtj
jt�
d
����
fdd�}
|
S)a=
Get the path to a data file. Parameters ---------- path : str Path to the file, relative to ``pandas/tests/`` Returns ------- path including ``pandas/tests``. Raises ------ ValueError If the path doesn't exist and the --strict-data-files option is set. �testscsJtj
j�f
|��}
tj
j|
�
sF�
r4td
|
�d��
�
ntjd|
�d��

|
S)NzCould not find file z and --strict-data-files is set.zCould not find �
.)�os�path�join�exists� ValueErrorrr )r[r�)� BASE_PATHr�rr�deco(s





zdatapath..deco)r�r�r��dirname�__file__)r�r�r)r�r�r�datapathsr�c

Cstj
|d
ddd��
S)z* The iris dataset as a DataFrame. �ior��csvziris.csv)r.Zread_csv)
r�rrr�iris6sr��UTCz US/Easternz Asia/Tokyozdateutil/US/Pacificzdateutil/Asia/Singaporei,
)
�hours)
r�c
Csg|]}
t|
�
�qSr)
r4)ro�
irrrrpQsrpc


Cs|jS)
zD Fixture for trying timezones including default (None): {0} )
r9)
r:rrr�tz_naive_fixtureTsr�c


Cs|jS)
z4 Fixture for trying explicit timezones: {0} )
r9)
r:rrr�tz_aware_fixture]sr��module)
Zscopec
Cstj
S)
zB Yields the UTC timezone object from the datetime module. )rrrrrr�datetime_tz_utcjsr�rzdateutil/UTCc


Cs|jS)
zQ Fixture to provide variants of UTC timezone strings and tzinfo objects. )
r9)
r:rrr�utc_fixturersr�c


Cs|jS)
zR Parametrized fixture for string dtypes. * str * 'str' * 'U' )
r9)
r:rrr�string_dtype}s r�c


Cs|jS)
zK Parametrized fixture for bytes dtypes. * bytes * 'bytes' )
r9)
r:rrr�bytes_dtype�sr�c


Cs|jS)
zN Parametrized fixture for object dtypes. * object * 'object' )
r9)
r:rrr�object_dtype�sr�c


Cs|jS)
z\ Parametrized fixture for datetime64 dtypes. * 'datetime64[ns]' * 'M8[ns]' )
r9)
r:rrr�datetime64_dtype�sr�c


Cs|jS)
z^ Parametrized fixture for timedelta64 dtypes. * 'timedelta64[ns]' * 'm8[ns]' )
r9)
r:rrr�timedelta64_dtype�sr�c


Cs|jS)
z^ Parameterized fixture for float dtypes. * float * 'float32' * 'float64' )
r9)
r:rrr�float_dtype�s r�c


Cs|jS)
zg Parameterized fixture for complex dtypes. * complex * 'complex64' * 'complex128' )
r9)
r:rrr� complex_dtype�s r�c


Cs|jS)
z| Parameterized fixture for signed integer dtypes. * int * 'int8' * 'int16' * 'int32' * 'int64' )
r9)
r:rrr� sint_dtype�sr�c


Cs|jS)
zx Parameterized fixture for unsigned integer dtypes. * 'uint8' * 'uint16' * 'uint32' * 'uint64' )
r9)
r:rrr� uint_dtype�s r�c


Cs|jS)
z� Parameterized fixture for any integer dtype. * int * 'int8' * 'uint8' * 'int16' * 'uint16' * 'int32' * 'uint32' * 'int64' * 'uint64' )
r9)
r:rrr� any_int_dtype�sr�c


Cs|jS)
z� Parameterized fixture for any nullable integer dtype. * 'UInt8' * 'Int8' * 'UInt16' * 'Int16' * 'UInt32' * 'Int32' * 'UInt64' * 'Int64' )
r9)
r:rrr�any_nullable_int_dtype�sr�c


Cs|jS)
z~ Parameterized fixture for any signed nullable integer dtype. * 'Int8' * 'Int16' * 'Int32' * 'Int64' )
r9)
r:rrr�any_signed_nullable_int_dtypes r�c


Cs|jS)
z� Parameterized fixture for any (purely) real numeric dtype. * int * 'int8' * 'uint8' * 'int16' * 'uint16' * 'int32' * 'uint32' * 'int64' * 'uint64' * float * 'float32' * 'float64' )
r9)
r:rrr�any_real_dtypesr�c


Cs|jS)
a�
Parameterized fixture for all numpy dtypes. * bool * 'bool' * int * 'int8' * 'uint8' * 'int16' * 'uint16' * 'int32' * 'uint32' * 'int64' * 'uint64' * float * 'float32' * 'float64' * complex * 'complex64' * 'complex128' * str * 'str' * 'U' * bytes * 'bytes' * 'datetime64[ns]' * 'M8[ns]' * 'timedelta64[ns]' * 'm8[ns]' * object * 'object' )
r9)
r:rrr�any_numpy_dtype-s"r�r�r��
c�bytes�
a�
cr�z mixed-integer�mixedg@Zfloatingg�?�integerzmixed-integer-float�decimal�boolean� datetime64z 2013-01-01z 2018-01-01r�r�Z20180101ri�i�rrr�r�c
Cs |j\}
}t
j|td
�}|
|fS)a� Fixture for all inferred dtypes from _libs.lib.infer_dtype The covered (inferred) types are: * 'string' * 'empty' * 'bytes' * 'mixed' * 'mixed-integer' * 'mixed-integer-float' * 'floating' * 'integer' * 'decimal' * 'boolean' * 'datetime64' * 'datetime' * 'date' * 'timedelta' * 'time' * 'period' * 'interval' Returns ------- inferred_dtype : str The string for the inferred dtype from _libs.lib.infer_dtype values : np.ndarray An array of object dtype that will be inferred to have `inferred_dtype` Examples -------- >>> import pandas._libs.lib as lib >>> >>> def test_something(any_skipna_inferred_dtype): ... inferred_dtype, values = any_skipna_inferred_dtype ... # will pass ... assert lib.infer_dtype(values, skipna=True) == inferred_dtype )
r�)r9r0r��object)r:Zinferred_dtype�valuesrrr�any_skipna_inferred_dtypeps)
r
c
Cs tj
d
dd�
ddlm}
|�S)zj Get an instance of IPython.InteractiveShell. Will raise a skip if IPython is not installed. ZIPythonz6.0.0)
Z minversionr
)
�InteractiveShell)rZimportorskipZIPython.core.interactiveshellr
)
r
rrr�ip�s
r
ZbsrZcooZcscZcsrZdiaZdokZlilc
Csd
dlm
}

t|
|jd�S)z- Yields scipy sparse matrix classes. r
)
�sparseZ_matrix)Zscipyr
�getattrr9)r:r
rrr�spmatrix�sr
c


Cs|jS)
z� Yields a tuple of a function and its corresponding name. Correspond to the list of aggregator "Cython functions" used on selected table items. )
r9)
r:rrr�cython_table_items�sr
c
Cs.g|]&}
tt
tj|
�tjj�rt
tj|
��qSr)� issubclassr
r.�offsetsZTick)ro�
orrrrp�s

c


Cs|jS)
zN Fixture for Tick based datetime offsets available for a time series. )
r9)
r:rrr�tick_classes�sr
c


Cs|S)
Nr)
r5rrrr6�sc


Cs|jS)
zk Simple fixture for testing keys in sorting methods. Tests None (no key) and the identity key. )
r9)
r:rrr�sort_by_key�sr
i���������i����i���������)��__doc__�collectionsrr�rrrrr
r�operatorr�Zdateutil.tzrr Z hypothesisr �stZnumpyr0rZpytzrrZpandas.util._test_decorators�utilZ_test_decorators�tdZpandasr.r Zpandas._testingZ_testingrqZpandas.corerZpandas.core.indexes.apirrrrr"�settingsZregister_profileZHealthCheckZtoo_slowZload_profile�splitr�r
Ztseriesr
�clsZregister_type_strategyZbuildsZintegersZbooleansZfixturer/r1r;Z axis_framer<r=r>rArDrErJrKrLrOrRrSZNaTr�ZNA�strrTZnulls_fixture2rUZunique_nulls_fixture2r�rWZindex_or_series2rarirur�r�ZmakeUnicodeIndexZmakeStringIndexZ makeDateIndexZmakePeriodIndexZmakeTimedeltaIndexZmakeIntIndexZ makeUIntIndexZmakeRangeIndexZmakeFloatIndexZ makeBoolIndexZmakeCategoricalIndexZmakeIntervalIndex�from_tuplesrHr��keysr2Zindex_fixture2r�r�r�r�r��itemsZ_seriesr�Zfloat16Zfloat32Zint8Zint16Zint32Zuint8Zuint16Zuint32Z_narrow_dtypesr�r�r�r�r�r�r�r�Z_all_arithmetic_operatorsr��addZradd�subZrsub�mulZrmul�truedivZrtruediv�floordivZ rfloordiv�modZrmod�powZrpowr�Z_all_numeric_reductionsr�Z_all_boolean_reductionsr�Z_all_reductionsr�r�r�r�r�r�r�Z TIMEZONESZTIMEZONE_IDSZparametrize_fixture_docr�r�Ztz_aware_fixture2r�r�Z STRING_DTYPESr�ZBYTES_DTYPESr�Z OBJECT_DTYPESr�ZDATETIME64_DTYPESr�ZTIMEDELTA64_DTYPESr�ZFLOAT_DTYPESr�ZCOMPLEX_DTYPESr�ZSIGNED_INT_DTYPESr�ZUNSIGNED_INT_DTYPESr�ZALL_INT_DTYPESr�ZALL_EA_INT_DTYPESr�ZSIGNED_EA_INT_DTYPESr�ZALL_REAL_DTYPESr�ZALL_NUMPY_DTYPESr�r
� TimestampZPeriodZIntervalZ_any_skipna_inferred_dtyper8�
_r
r
r
�listZcython_tabler
�__all__r
r
rrrr�s�













 




(















"   * " 
















    






 !


































  
#














( "  '














$


$3 4