/dports/devel/py-dask/dask-2021.11.2/dask/dataframe/tests/ |
H A D | test_indexing.py | 132 assert_eq(ddf.loc[ddf.A > 0], df.loc[df.A > 0]) 161 ddf = ddf.clear_divisions() 168 ddf.loc[s] 231 ddf.divisions = (None,) * len(ddf.divisions) 263 assert_eq(ddf.loc[ddf.B > 0, "B"], df.loc[df.B > 0, "B"]) 279 tm.assert_series_equal(ddf["A"]._meta, ddf._meta["A"]) 284 assert_eq(ddf[ddf.C], df[df.C]) 285 tm.assert_series_equal(ddf.C._meta, ddf._meta.C) 287 assert_eq(ddf[ddf.C.repartition([0, 2, 5, 8])], df[df.C]) 323 ddf[1:3] [all …]
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H A D | test_groupby.py | 60 dp = ddf.groupby(ddf.y)["x"] 89 dp = ddf.groupby(ddf.y)["x"] 94 dp = ddf.groupby(ddf.y)[["x"]] 383 res = ddf.groupby([ddf["a"], ddf["c"]]).mean() 487 ddf.A.groupby(ddf.index.month).nunique(), 494 ddf.groupby(ddf.index.month).A.nunique(), 683 ddf.groupby(ddf.a > 3).b.mean().dask 903 b = ddf.groupby(ind(ddf)).apply(len) 909 b = ddf.groupby(ind(ddf)).B.apply(len) 1377 dfiltered = ddf[ddf.b < 0.5] [all …]
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H A D | test_dataframe.py | 1528 f=ddf.a + ddf.b, 2344 ddf.b = ddf.b.fillna(ddf.a) 3600 ddf["z"] = ddf.x + ddf.y 3640 ddf2 = ddf.assign(y=ddf.x + 1, z=ddf.x - 1) 3650 ddf.y = ddf.x + ddf.y 4325 conditions = [ddf, ddf[0], ddf == ddf, ddf[0] == ddf[0]] 4450 ddf.a + ddf.c 4524 ddf[ddf.columns] = 1 4532 ddf[ddf > 2] = 5 4540 ddf[ddf["A"] > 2] = 5 [all …]
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H A D | test_format.py | 28 ddf = dd.from_pandas(df, 3) 30 for x in [ddf, ddf.index, ddf.x]: 39 s1 = repr(ddf) 40 assert repr(ddf) == s1 41 ddf.b = ddf.b.astype("category") 42 assert repr(ddf) != s1 65 assert repr(ddf) == exp 66 assert str(ddf) == exp 161 assert str(ddf) == exp 234 ddf = ddf.clear_divisions() [all …]
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H A D | test_accessors.py | 89 return df, ddf 93 df, ddf = df_ddf 107 assert set(ddf.dt_col.dt.date.dask) == set(ddf.dt_col.dt.date.dask) 114 df, ddf = df_ddf 118 ddf.str_col.dt 123 df, ddf = df_ddf 178 df, ddf = df_ddf 189 df, ddf = df_ddf 195 df, ddf = df_ddf 202 df, ddf = df_ddf [all …]
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H A D | test_rolling.py | 19 ddf = dd.from_pandas(df, 3) variable 48 ddf = dd.from_pandas(df, npartitions) 104 res = ddf.map_overlap( 195 ddf = dd.from_pandas(df, 3) 227 ds = ddf[3] 235 for obj, dobj in [(df, ddf), (df[0], ddf[0])]: 244 res = repr(ddf.rolling(4)) 323 ddf = dd.from_pandas(df, 5) 337 ddf = dd.from_pandas(df, 5) 338 ddf = ddf.repartition(divisions=[0, 5, 20, 28, 33, 54, 79, 80, 82, 99]) [all …]
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H A D | test_categorical.py | 130 df = ddf.compute() 135 assert_eq(ddf.groupby(ddf.w).sum(), df.groupby(df.w).sum()) 137 assert_eq(ddf.y.groupby(ddf.w).count(), df.y.groupby(df.w).count()) 162 ddf = ddf.assign(w=ddf.w.cat.set_categories(["x", "y", "z"])) 202 assert ddf.categorize(["w"], index=False) is ddf 203 assert ddf.categorize([], index=False) is ddf 247 assert ddf.categorize(index=False) is ddf 262 assert ddf.categorize() is ddf 299 ddf["id"] = ddf["id"].astype("category").cat.as_ordered() 300 ddf = ddf.set_index("id") [all …]
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H A D | test_shuffle.py | 124 s = shuffle(ddf, ddf.x, npartitions=6, shuffle=shuffle_method) 196 df.set_index(df.x + df.y), ddf.set_index(ddf.x + ddf.y, shuffle=shuffle_method) 282 ddf2 = ddf.assign(_partitions=ddf.x % 4) 302 ddf2 = ddf.assign(_partitions=ddf.x % 4) 323 ddf2 = ddf.assign(_partitions=ddf.x % 4) 446 ddf = ddf.clear_divisions() 766 ddf = ddf.set_index("ts") 893 ddf = ddf[ddf.y > df.y.max()].set_index("x") 939 ddf = ddf.set_index("b") 940 ddf = ddf.repartition(npartitions=3) [all …]
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H A D | test_reshape.py | 37 ddf = dd.from_pandas(df, 2) 46 dd.get_dummies(ddf) 49 dd.get_dummies(ddf.b) 113 ddf = dd.from_pandas(df, 2) 130 ddf = dd.from_pandas(df, 2) 152 ddf._meta = make_meta( 157 dd.get_dummies(ddf) 163 dd.get_dummies(ddf.x) 201 ddf = dd.from_pandas(df, 2) 223 ddf = dd.from_pandas(df, 2) [all …]
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H A D | test_arithmetics_reduction.py | 512 ddf = dd.from_pandas(pdf, 2) 879 ddf = dd.from_pandas(df, 10) 927 for x in [ddf, ddf.x]: 1170 ddf = dd.from_pandas(df, 3) 1182 assert_eq(df.prod(), ddf.prod()) 1184 assert_eq(df.min(), ddf.min()) 1185 assert_eq(df.max(), ddf.max()) 1202 assert_eq(df.sem(), ddf.sem()) 1216 numerics = ddf[["int", "float"]] 1245 ddf = dd.from_pandas(df, 3) [all …]
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/dports/math/py-benford_py/benford_py-0.5.0/tests/ |
H A D | test_stats.py | 22 ddf = len(jefd_F1D) - 1 33 ddf = len(jefd_F2D) - 1 43 ddf = len(jefd_F3D) - 1 53 ddf = len(jefd_SD) - 1 73 ddf = len(r_test) - 1 82 ddf = len(r_test) - 1 90 ddf = len(r_test) - 1 98 ddf = len(r_test) - 1 107 ddf = len(r_test) - 1 118 ddf = len(r_test) - 1 [all …]
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/dports/devel/util-linux/util-linux-2.36/libblkid/src/superblocks/ |
H A D | ddf_raid.c | 79 struct ddf_header *ddf = NULL; in probe_ddf() local 92 if (!ddf) in probe_ddf() 97 ddf = NULL; in probe_ddf() 100 if (!ddf) in probe_ddf() 104 be64_to_cpu(ddf->primary_lba) : in probe_ddf() 105 le64_to_cpu(ddf->primary_lba); in probe_ddf() 112 lba << 9, sizeof(ddf->signature)); in probe_ddf() 120 blkid_probe_strncpy_uuid(pr, ddf->guid, sizeof(ddf->guid)); in probe_ddf() 122 memcpy(version, ddf->ddf_rev, sizeof(ddf->ddf_rev)); in probe_ddf() 128 sizeof(ddf->signature), in probe_ddf() [all …]
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/dports/sysutils/linrename/util-linux-2.25.2/libblkid/src/superblocks/ |
H A D | ddf_raid.c | 79 struct ddf_header *ddf = NULL; in probe_ddf() local 92 if (!ddf) in probe_ddf() 97 ddf = NULL; in probe_ddf() 100 if (!ddf) in probe_ddf() 104 be64_to_cpu(ddf->primary_lba) : in probe_ddf() 105 le64_to_cpu(ddf->primary_lba); in probe_ddf() 112 lba << 9, sizeof(ddf->signature)); in probe_ddf() 120 blkid_probe_strncpy_uuid(pr, ddf->guid, sizeof(ddf->guid)); in probe_ddf() 122 memcpy(version, ddf->ddf_rev, sizeof(ddf->ddf_rev)); in probe_ddf() 128 sizeof(ddf->signature), in probe_ddf() [all …]
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/dports/math/R-cran-survey/survey/tests/ |
H A D | quantile.R | 6 ddf<-svydesign(id=~1,data=df) globalVar 7 rdf<-as.svrepdesign(ddf) 9 SE(oldsvyquantile(~x,ddf, c(0.01,0.1,0.5,0.9,0.99),ci=TRUE)) 13 SE(oldsvyquantile(~x,ddf, c(0.01,0.1,0.5,0.9,0.99),ci=TRUE,df=Inf)) 18 oldsvyquantile(~y,ddf, c(0.01,0.1,0.5,0.9,0.99),ci=TRUE,ties="rounded",interval.type="betaWald") 22 oldsvyquantile(~y,ddf, c(0.01,0.1,0.5,0.9,0.99),ci=TRUE,ties="rounded",interval.type="betaWald",df=… 30 ddf<-svydesign(id=~1,data=df) globalVar 31 rdf<-as.svrepdesign(ddf) 32 SE(oldsvyquantile(~x,ddf, c(0.01,0.1,0.5,0.9,0.99),ci=TRUE)) 36 SE(oldsvyquantile(~x,ddf, c(0.01,0.1,0.5,0.9,0.99),ci=TRUE,df=Inf)) [all …]
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H A D | quantile.Rout.save | 35 > ddf<-svydesign(id=~1,data=df) 39 > rdf<-as.svrepdesign(ddf) 41 > SE(oldsvyquantile(~x,ddf, c(0.01,0.1,0.5,0.9,0.99),ci=TRUE)) 53 > SE(oldsvyquantile(~x,ddf, c(0.01,0.1,0.5,0.9,0.99),ci=TRUE,df=Inf)) 66 > oldsvyquantile(~y,ddf, c(0.01,0.1,0.5,0.9,0.99),ci=TRUE,ties="rounded",interval.type="betaWald") 96 > oldsvyquantile(~y,ddf, c(0.01,0.1,0.5,0.9,0.99),ci=TRUE,ties="rounded",interval.type="betaWald",d… 130 > ddf<-svydesign(id=~1,data=df) 134 > rdf<-as.svrepdesign(ddf) 135 > SE(oldsvyquantile(~x,ddf, c(0.01,0.1,0.5,0.9,0.99),ci=TRUE)) 147 > SE(oldsvyquantile(~x,ddf, c(0.01,0.1,0.5,0.9,0.99),ci=TRUE,df=Inf)) [all …]
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/dports/devel/py-dask/dask-2021.11.2/dask/dataframe/io/tests/ |
H A D | test_io.py | 226 assert len(ddf.dask) == 3 227 assert len(ddf.divisions) == len(ddf.dask) + 1 239 assert len(ddf.divisions) == len(ddf.dask) + 1 296 assert_eq(df, ddf) 300 assert_eq(df, ddf) 307 assert_eq(ddf, df) 329 assert_eq(df, ddf) 331 assert_eq(df, ddf) 607 assert_eq(ddf, df) 681 a, b = ddf.to_delayed() [all …]
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H A D | test_parquet.py | 257 ddf.to_parquet( 403 ddf, 995 ddf["y"] = ddf.y.astype("category") 1030 ddf = ddf.categorize(columns=["B"]) 1043 ddf2 = ddf[ddf.a <= 5] 1467 for part in ddf[ddf["aa"] < aa_lim].partitions: 2533 ddf += 1 2537 ddf += 10 2929 a, b = dask.optimize(ddf["A"], ddf) 2932 ddf = ddf["A"] [all …]
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/dports/games/edge/Edge-1.35-source/data/ |
H A D | makelumps.mak | 12 raw/ddfanim.lmp: doom/anims.ddf 15 raw/ddfatk.lmp: doom/attacks.ddf 18 raw/ddfcolm.lmp: doom/colmap.ddf 21 raw/ddffont.lmp: doom/fonts.ddf 24 raw/ddfgame.lmp: doom/games.ddf 27 raw/ddfimage.lmp: doom/images.ddf 33 raw/ddflevl.lmp: doom/levels.ddf 36 raw/ddfline.lmp: doom/lines.ddf 45 raw/ddfsfx.lmp: doom/sounds.ddf 48 raw/ddfstyle.lmp: doom/styles.ddf [all …]
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/dports/math/R-cran-survey/survey/R/ |
H A D | pFsum.R | 1 pFsum<-function(x,df,a,ddf=Inf,lower.tail=TRUE,method=c("saddlepoint","integration","satterthwaite"… argument 2 if (ddf==Inf) return(pchisqsum(x,df=df,a=a,lower.tail=lower.tail,...)) 13 int<-CompQuadForm::davies(0,lambda=c(a,-x/ddf), h=c(df,ddf),acc=1e-7) 17 rval<-CompQuadForm::davies(0,lambda=c(a,-x/ddf), h=c(df,ddf),acc=1e-5)$Qq 31 rval<-pf(x/ndf/scale, ndf,ddf,lower.tail=lower.tail) 34 a<-c(a,-x/ddf) 35 df<-c(df,ddf)
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/dports/devel/ninja/ninja-1.10.2/src/ |
H A D | dyndep.cc | 30 DyndepFile ddf; in LoadDyndeps() local 31 return LoadDyndeps(node, &ddf, err); in LoadDyndeps() 34 bool DyndepLoader::LoadDyndeps(Node* node, DyndepFile* ddf, in LoadDyndeps() argument 41 if (!LoadDyndepFile(node, ddf, err)) in LoadDyndeps() 52 DyndepFile::iterator ddi = ddf->find(edge); in LoadDyndeps() 53 if (ddi == ddf->end()) { in LoadDyndeps() 68 for (DyndepFile::const_iterator oe = ddf->begin(); oe != ddf->end(); in LoadDyndeps() 122 bool DyndepLoader::LoadDyndepFile(Node* file, DyndepFile* ddf, in LoadDyndepFile() argument 124 DyndepParser parser(state_, disk_interface_, ddf); in LoadDyndepFile()
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/dports/games/edge/Edge-1.35-source/ |
H A D | Makefile.linux | 81 mkdir -p $(OBJDIR)/ddf 105 $(OBJDIR)/ddf/anim.o \ 106 $(OBJDIR)/ddf/attack.o \ 107 $(OBJDIR)/ddf/boom.o \ 108 $(OBJDIR)/ddf/colormap.o \ 109 $(OBJDIR)/ddf/font.o \ 110 $(OBJDIR)/ddf/game.o \ 111 $(OBJDIR)/ddf/image.o \ 112 $(OBJDIR)/ddf/language.o \ 123 $(OBJDIR)/ddf/weapon.o [all …]
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H A D | Makefile.osx | 79 mkdir -p $(OBJDIR)/ddf 104 $(OBJDIR)/ddf/anim.o \ 105 $(OBJDIR)/ddf/attack.o \ 106 $(OBJDIR)/ddf/boom.o \ 107 $(OBJDIR)/ddf/colormap.o \ 108 $(OBJDIR)/ddf/font.o \ 109 $(OBJDIR)/ddf/game.o \ 110 $(OBJDIR)/ddf/image.o \ 111 $(OBJDIR)/ddf/language.o \ 122 $(OBJDIR)/ddf/weapon.o [all …]
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H A D | Makefile.static | 90 mkdir -p $(OBJDIR)/ddf 114 $(OBJDIR)/ddf/anim.o \ 115 $(OBJDIR)/ddf/attack.o \ 116 $(OBJDIR)/ddf/boom.o \ 117 $(OBJDIR)/ddf/colormap.o \ 118 $(OBJDIR)/ddf/font.o \ 119 $(OBJDIR)/ddf/game.o \ 120 $(OBJDIR)/ddf/image.o \ 121 $(OBJDIR)/ddf/language.o \ 132 $(OBJDIR)/ddf/weapon.o [all …]
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H A D | Makefile.xming | 106 mkdir -p $(OBJDIR)/ddf 130 $(OBJDIR)/ddf/anim.o \ 131 $(OBJDIR)/ddf/attack.o \ 132 $(OBJDIR)/ddf/boom.o \ 133 $(OBJDIR)/ddf/colormap.o \ 134 $(OBJDIR)/ddf/font.o \ 135 $(OBJDIR)/ddf/game.o \ 136 $(OBJDIR)/ddf/image.o \ 137 $(OBJDIR)/ddf/language.o \ 148 $(OBJDIR)/ddf/weapon.o [all …]
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/dports/devel/py-dask/dask-2021.11.2/docs/source/ |
H A D | dataframe-categoricals.rst | 29 >>> ddf.col.cat.known 42 >>> col_known = ddf.col.cat.as_known() # use for single column 45 >>> ddf_known = ddf.categorize() # use for multiple columns 59 ddf = ddf.astype({'mycol': 'category', ...}) 61 ddf['mycol'] = ddf.mycol.astype('category') 64 ddf = ddf.categorize(columns=['mycol', ...]) 72 >>> ddf = dd.read_csv(..., dtype={col_name: 'category'}) 83 >>> ddf = dd.read_csv(..., dtype=dtype) 96 >>> ddf = dd.from_pandas(df, npartitions=1) 97 >>> ddf.col.cat.known [all …]
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